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CONFIDENTIAL: Not for dissemination, duplication, or citation 1 Practice advisory: Timing of antiepileptic medication withdrawal in seizure-free patients 1 with epilepsy (update of practice parameter) 2 3 Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the 4 American Academy of Neurology 5 6 David Gloss, MD, MPH&TM 1 ; Kimberly Pargeon, MD, MA 2 ; Jay Varma, MD 3 ; Jackie French, 7 MD 4 ; Cynthia Harden, MD 5 8 9 1. Department of Neurology, Charleston Area Medical Center, Charleston, WV 10 2. Department of Neurology, New York Downtown Hospital, NY 11 3. Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 12 4. Department of Neurology, New York University Langone Comprehensive Epilepsy Center, 13 New York 14 5. Department of Neurology, Mount Sinai Health System, New York, NY 15 16 17
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Practice advisory: Timing of antiepileptic medication withdrawal in seizure-free patients 1 

with epilepsy (update of practice parameter) 2 

Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the 4 

American Academy of Neurology 5 

David Gloss, MD, MPH&TM1; Kimberly Pargeon, MD, MA2; Jay Varma, MD3; Jackie French, 7 

MD4; Cynthia Harden, MD5 8 

1. Department of Neurology, Charleston Area Medical Center, Charleston, WV 10 

2. Department of Neurology, New York Downtown Hospital, NY 11 

3. Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 12 

4. Department of Neurology, New York University Langone Comprehensive Epilepsy Center, 13 

New York 14 

5. Department of Neurology, Mount Sinai Health System, New York, NY 15 

16 

17 

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DISCLOSURE 1 

Dr. Gloss: Served as an evidence-based medicine methodology consultant for the American 2 

Academy of Neurology until January 2018, and continues to serve as a volunteer methodologist, 3 

and has served as an associate editor (risk of bias classification) for Neurology. 4 

Dr. Pargeon: Has no disclosures to report. 6 

Dr. Varma: Has no disclosures to report. 8 

Dr. French: Has served as a consultant for Acorda, Biotie, Eisai Medical Research, 10 

GlaxoSmithKline, Impax, Johnson & Johnson, Lewis County General Hospital, Marinus, 11 

Novartis, Pfizer, Sunovion, SK Life Science, Supernus Pharmaceuticals, UCB, Upsher-Smith, 12 

and Vertex; has received grants from Eisai Medical Research, the US Epilepsy Research 13 

Foundation, the Epilepsy Study Consortium the Epilepsy Therapy Project of the Epilepsy 14 

Foundation, Lundbeck, Pfizer, and UCB; and is president of the Epilepsy Study Consortium. All 15 

consulting is done on behalf of the Consortium, and fees are paid to the Consortium. New York 16 

University receives salary support from the Consortium. 17 

18 

Dr. Harden: Has received royalties from Wiley and UpToDate, and has served as a contributing 19 

editor for Epilepsy Currents. 20 

21 

22 

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ABSTRACT 1 

Objective: To assess the evidence for medication withdrawal among epilepsy patients who are 2 

seizure-free. 3 

Methods: A 4-member panel evaluated the available evidence. The panel reviewed abstracts 4 

from the 2148 identified articles, and deemed 154 possibly relevant. Two panelists working 5 

independently of one another reviewed the full text of each article and selected articles for full 6 

data extraction. Case reports, meta-analyses, and editorials were excluded. 7 

Results: There was 15 included studies; 1 of which was Class I. 8 

Recommendations: Voting after round one: 12 of 16 recommendations received a Level. Four 9 

recommendations need to be re-voted on. This section will be updated after voting is complete. 10 

11 

12 

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INTRODUCTION 1 

Epilepsy is a common disease of the brain and accounts for approximately 1% of the global 2 

burden of disease (Murray 1994, for more information about global burden of disease, see 3 

http://www.who.int/healthinfo/global_burden_disease/about/en/). In the United States alone, an 4 

estimated 70,000–200,000 adults per year will present with a first unprovoked seizure (Hauser 5 

1993, Hauser 2008). The purpose of prescribing an antiepileptic drug (AED) is to render patients 6 

with epilepsy seizure-free, a task that is accomplished approximately two-thirds of the time 7 

(Kwan 2000, Mohanraj 2006). In these instances of success, there is the inevitable question 8 

concerning if and when patients should be weaned from the AEDs. Among patients who are 9 

seizure-free, it is unclear if they are truly disease-free. According to its latest definition, epilepsy 10 

is not considered resolved until a patient is seizure-free for at least 10 years and off anti-seizure 11 

medications for at least the last 5 years (Fisher 2014). 12 

13 

This practice advisory is an update to the 1996 American Academy of Neurology (AAN) 14 

practice parameter on the same topic(Quality Standards Subcommittee, 1996), which 15 

recommended that after assessing the risks and benefits to both patient and society from a 16 

recurrent seizure, the discontinuation of antiepileptic drugs may be considered by the physician 17 

and informed patient or parent/guardian if the patient meets the following profile: 18 

Seizure-free 2–5 years on AEDs (mean 3.5 years) 19 

Single type of partial seizure (simple partial or complex partial or secondary generalized 20 

tonic-clonic seizure [GTCS]) or single type of primary generalized seizures; 21 

Normal neurological examination/normal IQ 22 

EEG normalized with treatment 23 

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A Cochrane review addressed this question in children without generalized seizures but was 1 

unable to address this issue in adults or in children with generalized seizures (Sirven 2012). This 2 

review recommended treatment until the child was seizure-free for at least 2 years before 3 

considering withdrawing medications, particularly if there were partial (i.e., focal) seizures or 4 

EEG abnormalities. 5 

The panel for this practice advisory examined questions similar to the Cochrane review but 7 

allowed broader inclusion criteria and used the AAN methodology for crafting 8 

recommendations. The aim of the practice advisory is to provide information that will be 9 

important for practitioners who care for epilepsy patients. 10 

11 

Questions 12 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 13 

months, does stopping AEDs, compared to not stopping: 14 

1. increase the risk of recurrence, and are there risk factors for seizure recurrence? 15 

2. increase the risk of status epilepticus? 16 

3. reduce medication-related side effects? 17 

4. change quality of life? 18 

5. change the risk of mortality? 19 

6. change any of the above risks based on the speed of medication withdrawal? 20 

21 

Children and adult data were analyzed separately because the literature for 1 group may differ in 22 

quality and there are biological differences in the risk of recurrence. We also distinguished 23 

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partial (i.e., focal) from generalized seizures because of differences in the underlying mechanism 1 

causing epilepsy. 2 

Inclusion criteria 4 

The author panel included all studies that examined AED weaning in patients with epilepsy who 5 

have been seizure-free for at least 12 months and contained data on the risk of seizure 6 

recurrence, status epilepticus, medication side effects, quality of life data, or mortality. We 7 

included randomized and nonrandomized studies and prospective and retrospective case series 8 

published after 1991 that had a control group. We chose to examine studies after 1991 because 9 

the previous practice parameter did not contain literature beyond this point.(Quality Standards 10 

Subcommittee 1996). 11 

12 

The following were excluded: 13 

1. any articles with fewer than 30 patients; the small sample size would necessarily lead to 14 

imprecision of any results and would be underpowered to detect underlying changes, 15 

2. articles that were or would be graded as Class IV, 16 

3. articles including > 20%, or an unknown amount, of patients who have had a single 17 

seizure, rather than epilepsy, 18 

4. reviews, systematic reviews, or editorials. 19 

20 

Outcome criteria 21 

We addressed the following outcome measures, measured at 12 months or more: 22 

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1. seizure relapse. These data were divided between children and adults and between those 1 

with electroclinical syndromes and epilepsy surgery 2 

2. risk factors for either higher or lower rates of seizure recurrence that give odds ratios at 3 

the same time points as measured by the chance of seizure freedom 4 

3. quality of life data available at the same time points, compared to those who withdrew 5 

from medications and those who remained on medications 6 

4. occurrence of status epilepticus, compared to those who withdrew from medications and 7 

those who remained on medications 8 

5. mortality after medication withdrawal, compared to those who withdrew from 9 

medications and those who remained on medications 10 

11 

Variables: 12 

We did not prespecify the variables to be considered; instead, we accepted anything the included 13 

papers found. We hoped it would be more likely to produce meaningful evidence without 14 

prespecified limitations. For any question with 10 or more trials, a funnel plot was preplanned to 15 

be performed and looked for publication bias. 16 

17 

DESCRIPTION OF THE ANALYTIC PROCESS 18 

The mission of the AAN Guideline Development, Dissemination, and Implementation (GDDI) 19 

Subcommittee is to publish evidence-based recommendations for the diagnosis and treatment of 20 

neurologic disorders (see appendices 1 and 2 for a listing of the mission and members of the 21 

AAN GDDI). The subcommittee appointed a 5–member panel with special expertise in epilepsy, 22 

in AAN guideline development, or both. The panel followed the methods described in the 2011 23 

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AAN guideline development process manual, as amended to include the new practice advisory 1 

publication type, an updated classification scheme for therapeutic studies, and a change in the 2 

order of steps for document development. A methodologist searched MEDLINE, CINAHL, 3 

EBSCO, CENTRAL for relevant articles published between January of 1991 and April of 2013 4 

(see appendix 3 for search strategies). 5 

The original search yielded 2,148 abstracts, which were reviewed for inclusion by at least 2 7 

panel members. 154 abstracts seemed promising, and the full text papers were reviewed for 8 

inclusion. During full text review, there was evidence for an additional question regarding the 9 

speed of withdrawal (#6), so it was added to the list of questions since it was germane to the 10 

topic. Of those 154 papers, 13 were rated by 2 authors to be above Class IV and meet inclusion 11 

criteria. When articles appeared to include subsets of patients who were incorporated in previous 12 

publications, all known information (so long as the paper was rated above Class IV) was 13 

included to provide the most comprehensive information possible. This stipulation added 2 more 14 

papers. When assigning confidence in evidence, studies with multiple papers examining the same 15 

or parts of the same cohorts were counted once. Two panel members rated each of these articles 16 

according to the applicable AAN classification of evidence schemes (therapeutic or prognostic; 17 

see appendix 4), with 6 explicit clarifications. 18 

19 

The guideline panel made the following a priori decisions: 20 

1. Any articles which address specific electroclinical syndromes were considered separately 21 

as electroclinical syndromes have a known time-course. 22 

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2. Articles addressing epilepsy surgery patients were considered separately as they have 1 

substantially different characteristics and histories than typical seizure-free patients. 2 

3. Unblinded cohorts would be rated Class II, so long as it was explicitly shown to have a 3 

careful matching of covariates (as was allowed in the 2004 process manual if the study 4 

followed the other characteristics of Class II). This decision was made because there 5 

were amendments to the current process in progress that would allow unblinded cohorts 6 

to be Class II under specific narrow circumstances. 7 

4. For open-label cohort studies, seizure diaries or an explicit statement that patients 8 

determined outcome would be enough to qualify for Class III if other characteristics for 9 

Class III were fulfilled (as was done in the VNS update, Morris 2013). This decision was 10 

based on the fact that seizure recurrence is not necessarily objective (such as auras 11 

without motor component); however, seizure diaries represent an outcome determined 12 

independently from the investigators. 13 

5. Due to the subjectivity of the material, and the broad range of physician and patient 14 

preference, the author panel decided that if there were only very low confidence in 15 

evidence in non-counseling recommendations, the articles would not go through the 16 

modified GRADE/modified Delphi process and the question would be given a U 17 

recommendation for insufficient evidence; otherwise, panel authors would be creating a 18 

consensus-only recommendation. 19 

20 

There was 1 post hoc decision imposed by the GDDI subcommittee after a review of the initial 21 

manuscript, in which patient-reported GTCS confirmed by a clinical coordinator would be 22 

enough to qualify for Class III as this would be considered adequate for a reliable patient-23 

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reported outcome. Appendix 5 describes the process followed to determine the strength of 1 

confidence in the evidence. 2 

The strength of recommendations (A, B, C, and U; appendix 6) was determined by several 4 

factors: the strength of the evidence based on the number of Class I, II, and III studies; the AAN 5 

modified GRADE process; and the modified Delphi process. The modified GRADE process was 6 

performed with 2 of the coauthors (D.G. and J.V.) and reviewed by the panel. 7 

ANALYSIS OF EVIDENCE 9 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 10 

months, does stopping AEDs, compared to not stopping increase the risk of recurrence, and 11 

are there risk factors for seizure recurrence? 12 

13 

Adults 14 

One Class I study (Lossius 2008) and 3 Class III studies (Specchio 2002, MRC 1991, Chadwick 15 

1996) examined this question. The Class I study (Lossius 2008) enrolled 160 adults who had 16 

been seizure-free for 2 years. Participants were randomized to AED withdrawal (with placebo) or 17 

AED continuance. The risk of relapse (i.e., risk of failure of seizure-freedom) during the 12 18 

months of the study was not significantly different between groups: 15% of the withdrawal group 19 

vs 7% of the non-withdrawal group (RR 2.46, 95% CI 0.85–7.08, p = 0.95) experienced seizures 20 

following medication withdrawal. The follow-up portion of the study, which looked at a median 21 

of 49 months of follow-up, was Class IV; therefore, these results were not reviewed. The period 22 

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of follow-up in the Class I portion of the study was too short to be certain of the generalizability 1 

of the paper due to the surprisingly low numbers which were not seen in other papers. 2 

One Class III study was a nonrandomized, mostly adult, cohort trial where participants and their 4 

caregivers decided whether or not to withdraw medication (Specchio 2002) The participants of 5 

the study were epilepsy patients who were seizure-free for at least 2 years and on stable 6 

monotherapy. At 60 months, the chance of remaining seizure-free was 68% (95% CI 62%–74%) 7 

among participants who continued treatment and 48% (95% CI 38%–57%) among participants 8 

who did not. During the 60 months of follow-up, after multivariate adjustment, the hazard ratio 9 

(HR) for seizure relapse of participants in whom medication was withdrawn was 2.9 (95% CI 10 

1.8–4.6). 11 

12 

One Class III study randomized 1,013 participants who were seizure-free for at least 2 years and 13 

were taking AEDs to continued AED treatment vs slow withdrawal (MRC 1991). These data 14 

were not separable between GTCSs and other seizure types, but it was decided to include the 15 

study because a majority of recurrences were GTCSs (74%), and thus considered objective. The 16 

study primarily included adults (median age was 26–27 and medians were presented by group; 17 

however, 25% of participants were 16–17 at enrollment). Data were not presented separately 18 

between adults and children; therefore, the study was used to inform the adult question. The 19 

baseline groups were not equivalent. For example, those with a history of attempted AED 20 

withdrawal (OR 0.6, 95% 0.5–0.8), as well as those with a driving license, were less likely to be 21 

randomized (OR 0.13, 95% CI 0.1–0.18), and those with special schooling were more likely to 22 

be randomized (OR 5.4, 95% CI 3.5–9.4). More than 99% of participants were followed until 23 

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death or within 6 months of 1989. In the withdrawal group, there were 221 recurrences 1 

(participants who had a seizure during the period of the study) out of 510 participants (43%), 2 

whereas there were 133 recurrences out of 503 participants with continued therapy (26%), 3 

yielding an odds ratio (OR) of 2.12 (95% CI 1.63–2.77, p < 0.0001). 4 

There was another Class III study that analyzed recurrences (Chadwick 1996), with 168 6 

recurrences out of 221 participants in the withdrawal group, and 100 recurrences out of 133 7 

participants in the medication continuation group having multiple recurrences. There was not a 8 

statistically significant difference in risk of more than 1 seizure if there was a single recurrence 9 

(OR 1.04, 95% CI 0.63–1.72, p < 0.86). The study concluded that although the risk of seizures 10 

increases in the first 1–2 years, there is no evidence for a difference in long-term outcome. 11 

12 

Conclusions 13 

There is insufficient evidence to support or refute that in adults who have been seizure-free for 2 14 

years, the risk of recurrence in the first year of weaning has a point estimate of 2.5 times greater 15 

recurrence in those who taper vs those who do not (15% vs 7%), although this difference is not 16 

significantly different. The strength of evidence was downgraded due to imprecision, and a 17 

second downgrade occurred due to a lack of generalizability (very low confidence). In the long 18 

term (24–60 months), the risk of recurrence is possibly significantly higher among those who 19 

taper medications (low confidence). 20 

21 

Children 22 

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There were 2 Class II and 2 Class III studies that addressed this question. In 1 Class II study, 57 1 

patients (mean age 9.5) who had seizure control for at least 2 years were tapered either at 2 years 2 

or 4 years (Serra 2005). The Kaplan-Meier survival curve did not demonstrate significant 3 

differences over the 54 months of follow-up. In the other Class II study, 149 participants (mean 4 

age of 11 years) who had been seizure-free for at least 18 months were randomized into tapering 5 

at 2 years or 4 years (Tennison 1994). Kaplan-Meier survival curves over the 300 weeks of 6 

follow-up were not significantly different between the 2 groups. In the Class III study, 7 

participants who had been seizure-free for 18 months were randomized to have medication 8 

tapered immediately or to wait an additional 6 months (taper at 24 months; mean age taper at 18 9 

months was 6.7 years old, 24 months was 5.8 years old) (Gabremariam 1999). There was no 10 

significant difference for recurrence risk during the follow-up period, although the average 11 

duration of follow-up was different for the 2 groups. During the period of follow-up, 12 of 41 12 

(29%) who tapered at 18 months had recurrence during their 38 months of mean follow-up; 14 of 13 

39 (36%) who tapered at 24 months had recurrence during their 24 months of mean follow-up, 14 

yielding an RR of 0.815 (95% CI 0.432–1.537). A second Class III study of 238 participants 15 

(mean age of 8.8 years), who were randomized to treatment for 1 or 3 years; both groups were 16 

followed for 5 years (Braathan 1996). After correcting for multiple comparisons (Bonferroni 17 

correction), there were no significant differences in either the percent of participants seizure-free 18 

during the last 6 months of observation (72% vs 84%, RR 0.857, 95% OR 0.740–0.991, p > 19 

0.05), or the percent of participants seizure-free during the entire follow-up (32% vs 41%, RR 20 

0.775, 95% CI 0.539–1.115, p > 0.05). In this trial, 8% of participants continued to have some 21 

seizures with treatment, and 2% became medication resistant, which they defined as more than 1 22 

seizure per month. 23 

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Conclusions 2 

There is probably not a significant difference in tapering medication at 2 years vs 4 years, in 3 

pediatric patients who are seizure-free for 18–24 months (moderate confidence in evidence). 4 

There is insufficient evidence whether there is a significant difference in the risk of recurrence if 5 

tapering medications at 18 vs 24 months in pediatric patients (very low confidence). 6 

Electroclinical syndromes 8 

Electroclinical syndromes are ones with some or all of the following characteristics: specified 9 

age range of onset, specific developmental changes, specific physical characteristics, specific 10 

provoking/triggering factors for their seizures, or specific EEG features (Berg 2010). 11 

There were no included studies above Class IV addressing this question. 12 

13 

Epilepsy surgery patients 14 

A single Class III study addressed this question (Kerling 2009). This study did not demonstrate 15 

significant differences in remaining seizure-free between participants who had undergone 16 

surgery and were seizure-free for at least a year who had undergone medication taper vs those 17 

who remained on medications at both 1 and 4 years (31/34 [91%] vs 20/26 [77%] remaining 18 

seizure-free, RR 1.185, 95% CI 0.937–1.499, p > 0.05). 19 

20 

Conclusion 21 

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There is insufficient evidence to support or refute that the rate of seizure recurrence with 1 

medication withdrawal at 1 vs 4 years is not significantly different than maintaining patients on 2 

medication (very low confidence). 3 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 5 

months, does stopping AEDs, compared to not stopping, increase the risk of status 6 

epilepticus? 7 

There were 1 Class I study and 4 Class III cohort studies that addressed this question. The 8 

previously discussed Class I study (Lossius 2008), did not find any significant predictors for the 9 

risk of status epilepticus (after Bonferroni correction); the study authors looked at age, gender, 10 

age at epilepsy onset, partial vs generalized epilepsy, MRI findings, duration of seizure-freedom, 11 

specific AEDs, and a normal neurological examination, in trying to find predictors for status 12 

epilepticus. 13 

14 

Of the Class III studies, 1 study was in a mixed cohort of mostly adults (Specchio 2002). In this 15 

paper, the following factors were significant for increased risk of recurrence: 2 years of 16 

remission at study entry OR 2.6 (95% CI 1.5-4.8) and abnormal psychiatric examination OR 2.1 17 

(95% CI 1.3–3.6). Duration of active disease, epilepsy syndrome, and abnormal CT/MRI were 18 

not significant factors for an increased risk of recurrence. 19 

20 

One Class III Medical Research Council (MRC) study looked at whether there was a difference 21 

among antiepileptic drugs (Chadwick 1999). This study found that monotherapy with valproate 22 

(HR 1.97, 95% CI 1.29–3.0), phenobarbitone and primidone (HR 3.55, 95% CI 1.24–10.2), and 23 

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phenytoin (HR, 3.02 95% CI 1.84–4.97) were associated with a significant risk for seizure 1 

recurrence with medication withdrawal, while this was not true for carbamazepine (HR 1.32, 2 

95% CI 0.85–2.0). A second Class III MRC study created a risk index for recurrence (MRC 3 

1993). Using a Cox proportional hazards regression, they found 7 prognostic factors for 4 

increased risk of seizures: age 16 and older (RR 1.75, 95% CI 1.30–2.35), use of > 1 AED (risk 5 

ratio [RR] 1.83, 95% CI 1.40–2.39), a history of seizures after starting an antiepileptic drug (RR 6 

1.56, 95% CI 1.19–2.04), a history of tonic-clonic seizures (RR 1.56, 95% CI 1.09–2.22), history 7 

of myoclonic seizures (RR 1.84, 95% CI 1.13–3.01), and an abnormal EEG in the last year (RR 8 

1.32, 95% CI 1.01–1.73). 9 

10 

There were 3 Class III prognostic studies of children. One Class III study (Gabremariam 1999) 11 

found that an abnormal EEG at discontinuation was associated with seizure recurrence in 12 

children (RR 6.21, 95% CI 5.62–68.5). An abnormal EEG was defined as one with spikes, sharp 13 

waves, paroxysmal slowing, or non-paroxysmal abnormalities. There were 2 Class III prognostic 14 

studies of the same cohort (Braathan 1997, Andersson 1997). The first (Braathan 1997) 15 

considered more than 20 factors; after Boferonni correction, there were no statistically 16 

significant factors. The second (Andersson 1997) looked more specifically at EEG and found 17 

that among both groups of children (1-year and 3-year withdrawal), there was a higher risk of 18 

recurrence in children with epileptiform activity on the EEG (24 of 51 with epileptiform activity 19 

(47%) vs 31 of 94 without epileptiform activity (33%), yielding an OR of 2.87 (95% CI 1.35–20 

6.11, p = 0.006). 21 

22 

Conclusions 23 

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There is insufficient evidence to support or refute that a variety of risk factors demonstrate 1 

change in chance seizure recurrence (very low confidence). An epileptiform EEG possibly 2 

increases the risk of recurrence in children (low confidence). Neither of the included studies 3 

specify what kind of EEG was performed (e.g., length of study, sleep deprived), so we are unable 4 

to comment as to what kind of EEG is needed. 5 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 7 

months, does stopping AEDs, compared to not stopping, reduce medication-related side 8 

effects? Is there quality of life data with medication withdrawal? 9 

There was 1 Class I study which addressed this question (Lossius 2008). They did not find 10 

significant differences in 3 measures of quality of life, including the quality of life in epilepsy 11 

inventory-89 (mean score difference 0.3, 95% CI -1.55 to 2.07), between participants who 12 

withdrew medications and those who did not. The lack of results in quality of life indicators may 13 

be, in part, because among the 15 neuropsychiatric measures tested, they only found significant 14 

differences (after Bonferroni correction) in lexical choice reaction time (mean difference -24.42 15 

(-40.11 to -9.14, p = 0.045). For lexical choice reaction time, the mean may not be the best 16 

measure and could possibly be misleading given that this distribution typically has a significant 17 

tail and there was no test shown fitting to the Gaussian distribution (Hauk 2012). There were 18 

subsets of the same cohort reviewed for other neuropsychiatric measures, and when 95% Cis 19 

were constructed, there were no convincingly significant differences (Hessen 2006, Hessen 20 

2007). 21 

22 

Conclusion 23 

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In adults who are seizure-free, medication weaning possibly does not change in quality of life 1 

(low confidence). These data were imprecise, so the confidence in evidence was downgraded. 2 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 4 

months, does stopping AEDs, compared to not stopping, change quality of life? Is there 5 

any information about the risk of status epilepticus? 6 

No participants in the medication withdrawal arm of the 1-year adult Class I randomized 7 

controlled trial had status epilepticus (Lossius 2008). Most studies did not specifically mention 8 

any information on this. 9 

10 

Conclusion 11 

Medication withdrawal possibly may not increase the risk of status epilepticus in adults. 12 

Confidence in the evidence is also lowered due to imprecision (low confidence). 13 

14 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 15 

months, does stopping AEDs, compared to not stopping, change the risk of mortality? 16 

Only 2 studies specifically mentioned mortality. During the 1-year adult Class I trial of 17 

medication withdrawal, there were no deaths (Lossius 2008). During the 6 years of follow-up of 18 

the Class III MRC cohort study (MRC 1991), 2 participants who continued therapy died, most 19 

likely from a seizure. 20 

21 

Conclusion 22 

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There is insufficient evidence to support or refute that medication withdrawal may not cause an 1 

increase in the risk of mortality in adults (very low confidence). 2 

For patients with epilepsy on AED medication, who have been seizure-free for at least 12 4 

months, does stopping AEDs, compared to not stopping, change any of the above risks 5 

based on the speed of medication withdrawal? 6 

Two Class II studies specifically addressed this question in children. In 1 Class II study, 57 7 

patients had medication tapered either at 25% every 10 days or 25% every 2 months (Serra 8 

2005). Kaplan-Meier survival curves over 54 months of follow-up were not significantly 9 

different between groups. In the other Class II study, medications were tapered at a rate of 25% 10 

every 2 weeks or 25% every 2 months (Tennison 1994). No significant differences were present 11 

in the Kaplan-Meier survival curves across the 300 weeks of follow-up. 12 

13 

Conclusion 14 

Withdrawal of medication at a rate of 25% every 10 days to 2 weeks is probably not significantly 15 

different than withdrawal at a rate of 25% every 2 months, in children who are seizure-free, in > 16 

4 years of follow-up (moderate confidence). 17 

18 

PRACTICE RECOMMENDATIONS 19 

Adults 20 

Rationale 21 

There is low confidence that in the long term (24–60 months), the risk of recurrence is 22 

significantly higher among those who taper medications (EVID). Once epilepsy is masked, it is 23 

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unknowable if you have epilepsy or not (PRIN). Patients should be allowed to be part of the 1 

medical decision-making process, especially when there is clinical equipoise (PRIN). 2 

While there is evidence for the predictive power of EEGs in children (EVID), there is no 4 

evidence above Class IV in adults. Moreover, the evidence in children cannot be used as related 5 

evidence in adults as it is based on Class III data. The same applies for the small chance of 6 

medication resistance seen after medication withdrawal. These differences may relate to 7 

biological differences between children and adults (PRIN). 8 

To enable patients to make decisions, all the clinically relevant information should be made 10 

available (PRIN). Low-quality evidence shows no difference in quality of life between patients 11 

with well-controlled epilepsy who stop or continue their medications (EVID). Factors 12 

contributing to quality of life are likely to be highly individual and may include ease of 13 

medication administration (e.g., dose frequency), experience of side effects, seizure recurrence, 14 

and comorbidities (PRIN). In the 1 year of 1 trial, there were no deaths, and in the 6 years of the 15 

other trial, the only deaths that occurred were in the patients that continued their medications 16 

(EVID). There does not seem to be an increased risk of status epilepticus in patients who are 17 

seizure-free for 2 years who withdrew their AEDs; however, the risk of status epilepticus may be 18 

small in the cohorts of the study, and there may not be enough patients and time to detect a 19 

difference (EVID). There is no evidence that 2 years has special significance (EVID). 20 

21 

Recommendations 22 

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In adults who are seizure-free for at least 2 years, there [may/should/must] be a discussion 1 

between the clinician and the patient and their caregivers, if any, about the risks and benefits of 2 

medication withdrawal, which specifically includes and documents: 3 

1. there is higher seizure recurrence in patients who had medication withdrawal, and 4 

2. that if seizures recur during or after withdrawal, there is a small chance they will no 5 

longer respond to medications (recommendation level not yet determined). 6 

This recommendation is meant to be an expectation of the physician if appropriate for the 7 

patient. 8 

Clinicians [may/should/must] discuss with patients that medication withdrawal can be 10 

contemplated because there is a statistically significant difference between withdrawal and no 11 

withdrawal, noting that there is significant uncertainty with the evidence (recommendation level 12 

not yet determined). 13 

14 

Counseling should include discussion that there is not strong evidence regarding changes in the 15 

risk of mortality and status epilepticus, and, as such, these risks have not been excluded by the 16 

evidence (Level B). 17 

18 

Clinicians must counsel that recurrent seizures put people at risk for status epilepticus and death 19 

(Level A). 20 

Clinicians should explore contributors to individual patients’ quality of life as part of shared 21 

decision making regarding AED discontinuation (Level B). 22 

23 

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Clinicians may discuss with seizure-free patients that there is not strong prognostic evidence that 1 

EEG or imaging study abnormalities are predictive of recurrence in patients (Level C). 2 

Clinicians [may/should/must] discuss with epilepsy surgery patients that there is not enough data 4 

to base decisions on medication withdrawal (recommendation level not yet determined). 5 

Children 7 

Rationale 8 

There does not appear to be a statistically significant difference when medication is withdrawn in 9 

pediatric patients who have been seizure free for 2 years vs 4 years when patients have been 10 

seizure-free for 18–24 months during the first 4–6 years of follow-up (EVID). While the cohorts 11 

were broad, they do not include large numbers of children with electroclinical syndromes. When 12 

there is not significant difference between treatment and lack of treatment over long periods of 13 

time, lack of treatment may be the preferred option (PRIN). There is a small risk of becoming 14 

medication-resistant with medication withdrawal (EVID). 15 

16 

There is low confidence in evidence that an epileptiform EEG increases the risk of recurrence in 17 

children (EVID). 18 

19 

Patients and families of children who are seizure-free and contemplating medication withdrawal 20 

would want any information about the withdrawal process that is available (PRIN). The evidence 21 

suggests there is not a significant difference is weaning 25% every 10 days to 2 weeks vs 2 22 

months (EVID). 23 

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Recommendations 2 

In children who are seizure-free for at least 18–24 months, who do not have an electroclinical 3 

syndrome suggesting otherwise, there should be a discussion about the risks and benefits of 4 

medication withdrawal, which specifically includes and documents that if seizures recur during 5 

either withdrawal or after withdrawal, there is a small chance they will no longer respond to 6 

medication (Level B). This recommendation is meant to be an expectation for the physician, if it 7 

is appropriate. 8 

Clinicians should discuss with patients that medication withdrawal can be considered because 10 

withdrawal of AEDs does not clearly increase risk of recurrence (Level B). 11 

12 

Counseling should include discussion that there is not good evidence regarding changes in the 13 

risk of mortality and status epilepticus, and, as such, these risks have not been excluded by the 14 

evidence (Level B). 15 

16 

Clinicians should counsel that recurrent seizures put people at risk for status epilepticus and 17 

death (Level B). 18 

19 

Clinicians should explore contributors to individual patients’ quality of life as part of shared 20 

decision-making regarding AED discontinuation (Level B). 21 

22 

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If there is agreement between the physician and patient’s family to pursue consideration of AED 1 

medication withdrawal, an EEG should be ordered [Level B]. 2 

If the EEG does not show epileptiform activity, medication withdrawal [may/should/must] be 4 

offered, at a rate no faster than 25% every 10–14 days. 5 

Areas in which there is no low to moderate risk of bias evidence 7 

Clinicians [may/should/must] take into account the known natural history of the specific 8 

electroclinical syndrome when counseling about medication withdrawal (recommendation level 9 

not yet determined). 10 

11 

There is neither evidence for, nor against, tapering medication for seizure-free patients with 12 

structural etiologies (epilepsy surgery patients) (Level U). 13 

14 

RECOMMENDATIONS FOR FUTURE RESEARCH 15 

There is only a single low risk of bias study in this area, and that one is inadequately powered as 16 

well as not clearly generalizable. Future areas of study include the many gaps shown by this 17 

guideline. High quality studies are needed which answer: 18 

1. Is there a significant difference in medication withdrawal versus remaining on 19 

medications in adults? 20 

2. Is an EEG a relevant prognostic factor in medication withdrawal in adults? 21 

3. Does modern MRI imaging have prognostic relevance? 22 

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4. Are there other prognostic factors which help decide who should or should not have 1 

medication withdrawn? 2 

5. Is there a certain speed of medication withdrawal in adults which should be 3 

recommended? 4 

6. What happens to people who recur: are there additional risks for them? 5 

Ideally a registry could be formed, which could have cohorts large enough to look at and 6 

examine if there are additional risks of status epilepticus or mortality. 7 

10 

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APPENDICES 1 

Appendix 1: AAN GDDI mission 2 

The mission of the GDDI is to develop, disseminate, and implement evidence-based systematic 3 

reviews and clinical practice guidelines related to the causation, diagnosis, treatment, and 4 

prognosis of neurologic disorders. The GDDI is committed to using the most rigorous methods 5 

available within its budget, in collaboration with other available AAN resources, to most 6 

efficiently accomplish this mission. 7 

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Appendix 2: AAN GDDI Subcommittee members 1 

The AAN has structured its subcommittee overseeing guideline development in several ways in 2 

recent years. The GDDI was first formed in 2014; it existed under a previous name and structure 3 

when this guideline project was inaugurated. At the time this guideline was approved to advance 4 

beyond subcommittee development, the subcommittee was constituted as below.  5 

 6 

Cynthia Harden, MD (Chair); Steven R. Messé, MD (Co-Vice-Chair); Sonja Potrebic, MD, PhD 7 

(Co-Vice-Chair); Stephen Ashwal, MD; Lori L. Billinghurst, MD; Brian Callaghan, MD; 8 

Gregory S. Day, MD, MSc; Diane Donley, MD; Richard M. Dubinsky, MD, MPH; Jeffrey 9 

Fletcher, MD; Gary S. Gronseth, MD (Senior Evidence-based Medicine Methodology Expert); 10 

Michael Haboubi, DO; John J. Halperin, MD; Yolanda Holler-Managan, MD; Annette M. 11 

Langer-Gould, MD, PhD; Nicole Licking, DO; Mia T. Minen, MD; Pushpa Narayanaswami, 12 

MBBS, DM; Maryam Oskoui, MD; Alejandro A. Rabinstein, MD; Alexander Rae-Grant, MD; 13 

Kevin Sheth, MD; Kelly Sullivan, PhD; Eric J. Ashman, MD (Ex-Officio); Jacqueline French, 14 

MD (Ex-Officio, Guideline Process Historian) 15 

16 

17 

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Appendix 3: Complete search strategy 1 

1. The 17 articles included in the original guideline’s table will be examined for possible 2 

inclusion (AAN 1996). 3 

2. Both the included and the excluded articles from the Cochrane review will be examined for 4 

possible inclusion (Sirven 2012). 5 

3. We will search from 1991 onward with the following criteria for MEDLINE (adapted from 6 

Sirven 2012, being more inclusive): 7 

1. exp animals/ not humans.sh. 8 

2. not 1 9 

3. exp Epilepsy/ 10 

4. Seizures/ 11 

5. (epilep$ or seizure$ or convuls$).tw. 12 

6. exp Anticonvulsants/ 13 

7. (anticonvulsant$ or antiepilep$).tw. 14 

8. 3 or 4 or 5 or 6 or 7 15 

9. (relapse or recurrence).ti,ab. 16 

10. (remission and epilep$).ti,ab. 17 

11. (discontinu$ or withdrawal).ti,ab. 18 

12. (prognosis and epilep$).ti,ab. 19 

13. 9 or 10 or 11 or 12 20 

14. 2 and 8 and 13 21 

22 

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We will search CENTRAL, DARE, and CINAHL with analogous searches. Article references 1 

will be considered for inclusion. Additional articles that experts are aware of will also be 2 

considered. 3 

Two panel members will review the abstracts from the searches. Any disagreement will be 5 

resolved by mutual agreement. The selected abstracts will then be reviewed in full text format to 6 

determine if they have any of the outcomes we are looking for. 7 

The papers which have been selected for possible inclusion, as well as the papers from the old 9 

practice parameter, and both the included and excluded papers from the Cochrane review will be 10 

graded independently by 2 panel members. Any disagreement in grading will be resolved by 11 

mutual agreement. 12 

13 

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Appendix 4. AAN rules for classification of evidence for risk of bias 1 

Prognostic accuracy scheme 3 

Class I 4 

A cohort study of a broad spectrum of persons at risk for developing the outcome (e.g., target 5 

disease, work status). The outcome is defined by an acceptable reference standard for case 6 

definition. The outcome is objective or measured by an observer who is masked to the presence 7 

of the risk factor. Study results allow calculation of measures of prognostic accuracy. 8 

Class II 9 

A case-control study of a broad spectrum of persons with the condition compared with a broad 10 

spectrum of controls, or a cohort study of a broad spectrum of persons at risk for the outcome 11 

(e.g., target disease, work status) where the data were collected retrospectively. The outcome is 12 

defined by an acceptable reference standard for case definition. The outcome is objective or 13 

measured by an observer who is masked to the presence of the risk factor. Study results allow 14 

calculation of measures of prognostic accuracy. 15 

Class III 16 

A case-control study or a cohort study where either the persons with the condition or the controls 17 

are of a narrow spectrum where the data were collected retrospectively. The outcome is defined 18 

by an acceptable reference standard for case definition. The outcome is objective or measured by 19 

an observer who did not determine the presence of the risk factor. Study results allow calculation 20 

of measures of a prognostic accuracy. 21 

Class IV 22 

Studies not meeting Class I, II, or III criteria, including consensus, expert opinion, or a case 23 

report. 24 

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Therapeutic scheme 2 

Class I 3 

A randomized controlled clinical trial of the intervention of interest with masked or objective 4 

outcome assessment, in a representative population. Relevant baseline characteristics are presented 5 

and substantially equivalent between treatment groups, or there is appropriate statistical adjustment 6 

for differences. 7 

The following are also required: 8 

a. concealed allocation 9 

b. no more than 2 primary outcomes specified 10 

c. exclusion/inclusion criteria clearly defined 11 

d. adequate accounting for dropouts (with at least 80% of enrolled subjects completing the study) and 12 

crossovers with numbers sufficiently low to have minimal potential for bias. 13 

e. For noninferiority or equivalence trials claiming to prove efficacy for one or both drugs, the 14 

following are also required*: 15 

i. The authors explicitly state the clinically meaningful difference to be excluded by 16 

defining the threshold for equivalence or noninferiority. 17 

ii. The standard treatment used in the study is substantially similar to that used in 18 

previous studies establishing efficacy of the standard treatment (e.g., for a drug, the 19 

mode of administration, dose, and dosage adjustments are similar to those previously 20 

shown to be effective). 21 

iii. The inclusion and exclusion criteria for patient selection and the outcomes of patients 22 

on the standard treatment are comparable to those of previous studies establishing 23 

efficacy of the standard treatment. 24 

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iv. The interpretation of the study results is based upon a per-protocol analysis that 1 

accounts for dropouts or crossovers. 2 

f. For crossover trials, both period and carryover effects examined and statistical adjustments 3 

performed, if appropriate 4 

Class II 5 

An RCT of the intervention of interest in a representative population with masked or objective 6 

outcome assessment that lacks one criteria a–e above (see Class I) or a prospective matched cohort 7 

study with masked or objective outcome assessment in a representative population that meets be 8 

above (see Class I). (Alternatively, a randomized crossover trial missing 1 of the following 2 9 

characteristics: period and carryover effects described or baseline characteristics of treatment order 10 

groups presented.) All relevant baseline characteristics are presented and substantially equivalent 11 

among treatment groups, or there is appropriate statistical adjustment for differences. 12 

Class III 13 

All other controlled trials (including studies with external controls such as well-defined natural 14 

history controls). (Alternatively, a crossover trial missing both of the following 2 criteria: period and 15 

carryover effects described or baseline characteristics of treatment order groups presented.) A 16 

description of major confounding differences between treatment groups that could affect outcome.** 17 

Outcome assessment is masked, objective, or performed by someone who is not a member of the 18 

treatment team. 19 

Class IV 20 

Studies that (1) did not include patients with the disease, (2) did not include patients receiving 21 

different interventions, (3) had undefined or unaccepted interventions or outcomes measures, or (4) 22 

had no measures of effectiveness or statistical precision presented or calculable. 23 

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*Note that numbers 1–3 in Class Ie are required for Class II in equivalence trials. If any 1 of the 3 is 1 

missing, the class is automatically downgraded to Class III. 2 

**Objective outcome measurement: an outcome measure that is unlikely to be affected by an 3 

observer’s (patient, treating physician, investigator) expectation or bias (e.g., blood tests, 4 

administrative outcome data). 5 

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Appendix 5. Rules for determining confidence in evidence  1 

Modal modifiers used to indicate the final confidence in evidence in the conclusions 2 

o High confidence: highly likely or highly probable 3 

o Moderate confidence: likely or probable 4 

o Low confidence: possibly 5 

o Very low confidence: insufficient evidence 6 

Initial rating of confidence in the evidence for each intervention outcome pair 7 

o High: requires 2 or more Class I studies 8 

o Moderate: requires 1 Class I study or 2 or more Class II studies 9 

o Low: requires 1 Class II study or 2 or more Class III studies 10 

o Very low: requires only 1 Class III study or 1 or more Class IV studies 11 

Factors that could result in downgrading confidence by 1 or more levels 12 

o Consistency  13 

o Precision  14 

o Directness 15 

o Publication bias 16 

o Biological plausibility 17 

Factors that could result in downgrading confidence by 1 or more levels or upgrading 18 

confidence by 1 level 19 

o Magnitude of effect 20 

o Dose response relationship  21 

o Direction of bias 22 

23 

24 

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Appendix 6. Steps and rules for formulating recommendations 1 

Constructing the recommendation and its rationale 3 

Rationale for recommendation summarized in the rationale includes 3 categories of 5 

premises 6 

Evidence-based conclusions for the systematic review 7 

Stipulated axiomatic principles of care 8 

Strong evidence from related conditions not systematically reviewed 9 

10 

Actionable recommendations include the following mandatory elements 11 

The patient population that is the subject of the recommendation 12 

The person performing the action of the recommendation statement 13 

The specific action to be performed 14 

The expected outcome to be attained 15 

16 

Assigning a level of obligation 17 

18 

Modal modifiers used to indicate the final level of obligation (LOO) 19 

Level A: Must 20 

Level B: Should 21 

Level C: May 22 

Level U: No recommendation supported 23 

24 

LOO assigned by eliciting panel members’ judgments regarding multiple domains, using 25 

a modified Delphi process. Goal is to attain consensus after a maximum of 3 rounds of 26 

voting. Consensus is defined by: 27 

> 80% agreement on dichotomous judgments 28 

>80% agreement, within 1 point for ordinal judgments 29 

If consensus obtained, LOO assigned at the median. If not obtained, LOO 30 

assigned at the 10th percentile 31 

32 

Three steps used to assign final LOO 33 

34 

1. Initial LOO determined by the cogency of the deductive inference supporting the 35 

recommendation on the basis of ratings within 4 domains. Initial LOO anchored 36 

to lowest LOO supported by any domain. 37 

Confidence in evidence. LOO anchored to confidence in evidence 38 

determined by modified form of the Grading of Recommendations 39 

Assessment, Development and Evaluation process 40 

Level A: High confidence 41 

Level B: Moderate confidence 42 

Level C: Low confidence 43 

Level U: Very low confidence 44 

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Soundness of inference assuming all premises are true. LOO anchored to 1 

proportion of panel members convinced of soundness of the inference 2 

Level A: 100% 3 

Level B: ≥ 80% to < 100% 4 

Level C: ≥ 50% to < 80% 5 

Level U or R: < 50% 6 

Acceptance of axiomatic principles: LOO anchored to proportion of panel 7 

members who accept principles 8 

Level A: 100% 9 

Level B: ≥ 80% to < 100% 10 

Level C: ≥ 50% to < 80% 11 

Level U or R: < 50% 12 

Belief that evidence cited from rerated conditions is strong: LOO anchored 13 

to proportion of panel members who believe the related evidence is strong 14 

Level B: ≥ 80% to 100% (recommendations dependent on 15 

inferences from nonsystematically reviewed evidence cannot be 16 

anchored to a Level A LOO) 17 

Level C: ≥ 50% to < 80% 18 

Level U or R: < 50% 19 

20 

2. LOO is modified mandatorily on the basis of the judged magnitude of benefit 21 

relative to harm expected to be derived from complying with the recommendation 22 

Magnitude relative to harm rated on 4-point ordinal scale 23 

Large benefit relative to harm: benefit judged large, harm judged 24 

none 25 

Moderate benefit relative to harm: benefit judged large, harm 26 

judged minimal; or benefit judged moderate, harm judged none 27 

Small benefit relative to harm: benefit judged large, harm judged 28 

moderate; or benefit judged moderate, harm judged minimal; or 29 

benefit judged small, harm judged none 30 

Benefit to harm judged too close to call: benefit and harm judged 31 

to be substantially similar 32 

Regardless of cogency of the recommendation the LOO can be no higher 33 

than that supported by the rating of the magnitude of benefit relative to 34 

harm 35 

Level A: large benefit relative to harm 36 

Level B: moderate benefit relative to harm 37 

Level C: small benefit relative to harm 38 

Level U: too close to call 39 

LOO can be increased by one grade if LOO corresponding to benefit 40 

relative to harm greater than LOO corresponding to the cogency of the 41 

recommendation 42 

43 

3. LOO optionally downgraded on the basis of the following domains 44 

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37  

Importance of the outcome: critical, important, mildly important, not 1 

important 2 

Expected variation in patient preferences: none, minimal, moderate, large 3 

Financial burden relative to benefit expected: none, minimal, moderate, 4 

large 5 

Availability of intervention: universal, usually, sometimes, limited 6 

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38  

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