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Review Article TwoDifferentTransplantPreconditioningRegimens CombinedwithIrradiationandChemotherapyintheTreatmentof ChildhoodLeukemia:SystematicReviewandMeta-Analysis XiangwenWang ,DanMu,AnyangGeng,AnqiZhao,andYiyuanSong Inner Mongolia People’s Hospital Pediatric Hematology, Hohhot, China Correspondence should be addressed to Xiangwen Wang; [email protected] Received 19 February 2022; Revised 23 February 2022; Accepted 25 February 2022; Published 18 March 2022 Academic Editor: Liaqat Ali Copyright © 2022 Xiangwen Wang et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Objective. Toobserve the therapeutic effect and the incidence of adverse reactions of total body irradiation plus cyclophosphamide (TBI/CY) and busulfan plus cyclophosphamide (BU/CY) in the treatment of pediatric hematopoietic stem cell transplantation. Methods. By searching the Cochrane Library, PubMed, Web of Knowledge, Embase, Chinese Biomedical Literature Database (CBM), and screening randomized controlled trials (RCTs), quality evaluation and data extraction were performed for the included literature, and meta-analysis was performed for RCTs included at using Review Manager 5.2 software. Results. A total of 10160 patients were enrolled in 15 RCTs, including 5211 patients in the TBI/CY group and 4949 patients in the BU/CY group. Meta-analysis showed that there was a statistical difference in transplant failure rate (OR 1.56, 95% CI (1.23, 1.97), P 0.0002, I 2 56%, Z 3.69), transplant mortality (OR 1.45, 95% CI (1.24, 1.68), P < 0.00001, I 2 76%, Z 4.80), transplantation long-term disease-free survival rate (OR 1.52, 95% CI (1.09, 2.12), P 0.01, I 2 0%, Z 2.50), and transplantation adverse reactions (OR 1.28, 95% CI (1.08, 1.52), P 0.004, I 2 0%, Z 2.85). Conclusion. Meta-analysis showed that TBI/CY combined pre- treatment regimen was more effective than BU/CY regimen alone in the treatment of pediatric hematologic transplantation, with a lower incidence of adverse reactions and significant long-term survival efficacy. 1.Introduction Acute leukemia (AL) is a heterogeneous malignant clonal disease of hematopoietic stem cells, with a high recurrence rate and mortality rate [1]. Leukemia is mainly because of hematopoietic stem cells during differentiation and infil- trating the tissues and organs of the human body. en, it caused different degrees of fever, anemia, and bleeding symptoms [2–5]. Leukemia has a high incidence of pediatric malignant tumors, mostly presented as acute leukemia. Nowadays, with the gradual improvement of clinical he- matopoietic stem cell technology and hematopoietic stem cell source, the success rate of transplantation is significantly improved, making more children with leukemia have the desire for long-term survival [6]. Pediatric leukemia is a high incidence of malignant tumor in China [7]. Currently, although allogeneic hematopoietic stem cell transplantation (allo-HSCT) can serve as an effective treatment for AL, patients of leukemia still face various complications after transplantation, in- cluding graft-versus-host disease(GVHD), venoocclusive disease (VOD), thrombotic microvascular disease (TMA), and fungal infection that have caused adverse effects on the survival and prognosis of AL patients after transplantation. e main measures for the clinical treatment of the disease include chemical therapy, targeted therapy, and hemato- poietic stem cell transplantation. For children with refrac- tory and recurrent leukemia, conventional chemotherapy is short [8]. Nowadays, with the continuous in-depth research of the clinical characteristics of hematopoietic stem cells and transplantation immune technology and the continuous promotion of new anti-infectious drugs and immunosup- pressors, bone marrow transplantation has been gradually developed and improved, and now, it has become one of the Hindawi Journal of Healthcare Engineering Volume 2022, Article ID 2825712, 9 pages https://doi.org/10.1155/2022/2825712
Transcript

Review ArticleTwo Different Transplant Preconditioning RegimensCombinedwithIrradiationandChemotherapy in theTreatmentofChildhood Leukemia: Systematic Review and Meta-Analysis

Xiangwen Wang , Dan Mu, Anyang Geng, Anqi Zhao, and Yiyuan Song

Inner Mongolia People’s Hospital Pediatric Hematology, Hohhot, China

Correspondence should be addressed to Xiangwen Wang; [email protected]

Received 19 February 2022; Revised 23 February 2022; Accepted 25 February 2022; Published 18 March 2022

Academic Editor: Liaqat Ali

Copyright © 2022 Xiangwen Wang et al. -is is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work isproperly cited.

Objective. To observe the therapeutic effect and the incidence of adverse reactions of total body irradiation plus cyclophosphamide(TBI/CY) and busulfan plus cyclophosphamide (BU/CY) in the treatment of pediatric hematopoietic stem cell transplantation.Methods. By searching the Cochrane Library, PubMed, Web of Knowledge, Embase, Chinese Biomedical Literature Database(CBM), and screening randomized controlled trials (RCTs), quality evaluation and data extraction were performed for theincluded literature, and meta-analysis was performed for RCTs included at using Review Manager 5.2 software. Results. A total of10160 patients were enrolled in 15 RCTs, including 5211 patients in the TBI/CY group and 4949 patients in the BU/CY group.Meta-analysis showed that there was a statistical difference in transplant failure rate (OR� 1.56, 95% CI (1.23, 1.97), P� 0.0002,I2 � 56%, Z� 3.69), transplant mortality (OR� 1.45, 95% CI (1.24, 1.68), P< 0.00001, I2 � 76%, Z� 4.80), transplantation long-termdisease-free survival rate (OR� 1.52, 95% CI (1.09, 2.12), P� 0.01, I2 � 0%, Z� 2.50), and transplantation adverse reactions(OR� 1.28, 95% CI (1.08, 1.52), P� 0.004, I2 � 0%, Z� 2.85). Conclusion. Meta-analysis showed that TBI/CY combined pre-treatment regimen wasmore effective than BU/CY regimen alone in the treatment of pediatric hematologic transplantation, with alower incidence of adverse reactions and significant long-term survival efficacy.

1. Introduction

Acute leukemia (AL) is a heterogeneous malignant clonaldisease of hematopoietic stem cells, with a high recurrencerate and mortality rate [1]. Leukemia is mainly because ofhematopoietic stem cells during differentiation and infil-trating the tissues and organs of the human body. -en, itcaused different degrees of fever, anemia, and bleedingsymptoms [2–5]. Leukemia has a high incidence of pediatricmalignant tumors, mostly presented as acute leukemia.Nowadays, with the gradual improvement of clinical he-matopoietic stem cell technology and hematopoietic stemcell source, the success rate of transplantation is significantlyimproved, making more children with leukemia have thedesire for long-term survival [6].

Pediatric leukemia is a high incidence of malignanttumor in China [7]. Currently, although allogeneic

hematopoietic stem cell transplantation (allo-HSCT) canserve as an effective treatment for AL, patients of leukemiastill face various complications after transplantation, in-cluding graft-versus-host disease(GVHD), venoocclusivedisease (VOD), thrombotic microvascular disease (TMA),and fungal infection that have caused adverse effects on thesurvival and prognosis of AL patients after transplantation.-e main measures for the clinical treatment of the diseaseinclude chemical therapy, targeted therapy, and hemato-poietic stem cell transplantation. For children with refrac-tory and recurrent leukemia, conventional chemotherapy isshort [8]. Nowadays, with the continuous in-depth researchof the clinical characteristics of hematopoietic stem cells andtransplantation immune technology and the continuouspromotion of new anti-infectious drugs and immunosup-pressors, bone marrow transplantation has been graduallydeveloped and improved, and now, it has become one of the

HindawiJournal of Healthcare EngineeringVolume 2022, Article ID 2825712, 9 pageshttps://doi.org/10.1155/2022/2825712

main means for the treatment of hematological diseases.Acute leukemia is characterized by abnormal proliferation ofleukemia cells, abnormal primitive cells, and naive cells inthe bone marrow, which can be widely infiltrated into theextramedullary organs, and is clinically manifested by dif-ferent degrees of anemia, bleeding, infection, and othersymptoms. Allogeneic HSCT is currently the main treatmentfor hematological malignancies, but the recurrence rate afteracute leukemia transplantation is still not significantly re-duced. Studies at home and abroad show that if small re-sidual disease can be detected before transplantation, therecurrence rate of patients is significantly increased aftertransplantation, but there are few survival studies onmyeloablative HSCT [9].

Allogeneic hematopoietic stem cell transplantation(Allo-HSCT) is the preferred method for treating AML inmiddle and high-risk patients, and the quality of the pre-treatment regimen directly affects the prognosis of patients.Traditional busulfan combined with cyclophosphamide(BU/CY) and total body irradiation combined with cyclo-phosphamide (TBI/CY) protocol. Guolo et al. [10] showedthat overall and leukemia-free survival had significant ad-vantages for patients undergoing pretreatment with systemicradiotherapy in remission, but large meta-analysis showedsimilar survival for the two regimens. -erefore, for re-lapsed/refractory acute myeloid leukemia resistant to mul-tiple chemotherapy drugs, a systemic radiotherapymyelination-based regimen might be needed. Whetherconditioning regimen, it has an advantage that has not beenexplicitly recommended.

-erefore, in this study, relevant randomized controlledtrials in recent years were systematically searched, and meta-analysis was used to evaluate the efficacy and safety of twodifferent transplant preconditioning regiments combinedwith radiotherapy and chemotherapy in the treatment ofchildhood leukemia, providing reliable evidence for clinicaltreatment.

2. Materials and Methods

2.1. Search Strategy. In this study, Cochrane Library,PubMed, Web of Science, Embase, and CBM were searchedand other databases and related websites search. Subjectwords such as “Transplant,” “Total body irradiation,” “Bu-sulfan,” “Childhood leukemia,” “Cyclophosphamide,” andrelated drug trade names were retrieved as subject words andfree words, respectively. In order to avoid bias caused bylanguage limitations, this study searched both Chinese andEnglish literature. In order to avoid missing relevant studies,relevant references listed in the article and conference ab-stracts found in the search were traced (Figure 1).

2.2. Data Extraction. Data extraction was completed inde-pendently by two evaluators. First, read the title of the lit-erature, read the abstract of the literature related to thecontent of this study, and further read the full text of theliterature if it is a randomized controlled trial. -e studiesthat met the inclusion and exclusion criteria were classified

and evaluated, and the data were extracted. If there is anydisagreement between the two reviewers in the selection ofliterature, the problem will be solved through discussionwithin the group. -e authors of studies for which detaileddata were not available were contacted by e-mail or byreviewing the literature referencing the candidate study. -einclusion criterion is childhood diagnosed with leukemia,aged 1–14 years. -e exclusion criterion is patients treatedwith irradiation and chemotherapy before.

2.3. Literature Quality Assessment. 2 reviewers used theJadad rating scale to independently evaluate 15, mainly toevaluate the randomized controlled experimental design ofthe included literature, including generation of randomsequence (“yes”� 2, “unclear”� 1,“ no”� 0); random hiding(“yes”� 2, “unclear”� 1,“ no”� 0); blind (“yes”� 2,“unclear”� 1,“ no”� 0); and exit (“yes”� 1, “no”� 0). Ascore of 1–3 is considered low quality, while a score of 4–7 isconsidered high quality. Data extraction of informationmainly includes the author information, country, Jadadscore, types and patient’s age and gender, study drug dosage,number of cycles, effective treatment before and aftertreatment, and adverse reaction condition, after data ex-traction, two commentators’ data comparison, discuss theinconsistencies, and supplement the missing information asmuch as possible.

2.4. Bias Analysis. Heterogeneity between studies wasassessed using I2 statistics, 25%, 50%, and 75% representinglow, medium, and high heterogeneity, respectively; I2< 50%and P> 0.1 between studies using fixed effect models andI2> 50% and P< 0.1 from chi-square analysis showed studyheterogeneity. Meta-analysis was done by random effectsmodels and searched for possible heterogeneity by subgroupanalysis source. -e sensitivity analysis removed the in-cluded literature one by one to see whether the pooled effectvalues were stable and reliable (Figures 2 and 3).

2.5. Statistical Analysis. Consolidated effect size analysis ofindicators of concern for this system evaluation was ana-lyzed using STATA 12.0 software. For measurement data,the weighted mean difference (WMD) is the same; thestandard mean difference (SMD) and its 95% CI are theeffect amount. Relative hazard (relative risk, RR) and its 95%CI were used as the effect size, and P< 0.05 was used as thestatistical difference. Intertest heterogeneity was performedusing a 2-test, P> 0.1, and I2 <50%. If there is no hetero-geneity, the fixed effect model is used for data pooledanalysis, and the random effect model for pooled analysisand subgroup analysis was to detect the reasons for possibleclinical heterogeneity and statistical heterogeneity. Publi-cation bias was detected by the rank correlation test (Beggmethod) and the linear regression method (Egger method).Finally, the sensitivity analysis was conducted by theelimination method to test the stability of the results level.For the meta-analysis, there must be treatment effects andtheir standard deviation.

2 Journal of Healthcare Engineering

3. Result

3.1. Basic Characteristics of Literature. A total of 802 doc-uments were initially retrieved, and duplicates were removedby software with 692 remaining. After reading of the topic,abstract, and full text, 15 literature [11–25] were obtained,and a total of 10160 patients were included in the meta-analysis, including 5211 in the TBI/CY group and 4949 in theBU/CY group. Final included general features of the 15literature are given in Table 1.

3.2. Transplant Failure Rate. Among the 15 RCTs literatureincluded in transplant failure rate, the heterogeneity test wascarried out, and it was found that the heterogeneity of theselected studies was small, so meta-analysis with fixedmodels could be performed. -e results of meta-analysisshowed that the rhombus plot and vertical line not inter-sected in the forest map of transplant failure rate for 4included literature, so there was a statistical difference in thecomparison of transplant failure rate between the BU/CYgroup and the TBI/CY group (OR� 1.56, 95% CI (1.23, 1.97),P� 0.0002, I2 � 56%, Z� 3.69) (Figure 4).

3.3. Transplant Mortality. Among the 15 RCTs literatureincluded in transplant mortality, the heterogeneity test wascarried out, and it was found that the heterogeneity of theselected studies was small, so meta-analysis with fixedmodels could be performed. -e results of meta-analysisshowed that the rhombus plot and vertical line not inter-sected in the forest map of transplant mortality for 4 in-cluded literature, so there was a statistical difference in thecomparison of transplant mortality between the BU/CYgroup and the TBI/CY group (OR� 1.45, 95% CI (1.24, 1.68),P< 0.00001, I2 � 76%, Z� 4.80) (Figure 5).

3.4. Transplantation Long-Term Disease-Free Survival Rate.Among the 15 RCTs literature included in the transplan-tation long-term disease-free survival rate, the heterogeneitytest was carried out, and it was found that heterogeneity ofthe selected studies was small, so meta-analysis with fixedmodels could be performed. -e results of meta-analysisshowed that the rhombus plot and vertical line not inter-sected in the forest map of transplantation long-term dis-ease-free survival rate for 4 included literature, so there was astatistical difference in the comparison of transplantationlong-term disease-free survival rate between the BU/CYgroup and the TBI/CY group (OR� 1.52, 95% CI (1.09, 2.12),P� 0.01, I2 � 0%, Z� 2.50) (Figure 6).

3.5. Incidence of Transplantation Adverse Reactions.Among the 15 RCTs literature included in incidence oftransplantation adverse reactions, the heterogeneity test wascarried out, and it was found that the heterogeneity of theselected studies was small, so meta-analysis with fixedmodels could be performed. -e results of meta-analysisshowed that the rhombus plot and vertical line not inter-sected in the forest map of incidence of transplantationadverse reactions for 4 included literature, so there was astatistical difference in the comparison of incidence oftransplantation adverse reactions between the BU/CY groupand the TBI/CY group (OR� 1.28, 95% CI (1.08, 1.52),P� 0.004, I2 � 0%, Z� 2.85) (Figure 7).

4. Discussion

Pretreatment protocol of allo-HSCT for AML, retrospectiveanalysis, and meta-analysis had no clear answer as towhether TBI treatments are superior to BU treatment. It hasbeen shown that oral BU in TBI-MAC patients reduced

Identification of studies via databases and registers Identification of studies via other methods

Records identified from:Websites (n = 30)

Organisations (n = 60)Citation searching (n = 40)

etc.

Records removed before screening:Duplicate records removed

(n = 350)Records marked as ineligibleby automation tools (n = 36)Records removed for other

reasons (n = 199)

Records identified from*:Databases (n = 366)Registers (n = 436)

Records screened(n = 217)

Reports sought for retrieval(n = 110)

Reports assessed for eligibility(n = 20)

Studies included in review(n = 0)

Reports of included studies(n = 15)In

clud

edSc

reen

ing

Iden

tific

atio

n

Reports assessed for eligibility(n = 15)

Reports excluded:(1) Incomplete data (N = 1)

(2) Non-english literature (N = 4)etc.

Reports sought for retrieval(n = 130)

Reports not retrieved(n = 90)

Reports not retrieved(n = 115)

Records excluded**(n = 107)

Figure 1: Flowchart of the literature screening.

Journal of Healthcare Engineering 3

Random sequence generation (selection bias)

Allocation concealment (selection bias)

Blinding of participants and personnel (performance bias)

Blinding of outcome assessment (detection bias)

Incomplete outcome data (attrition bias)

Selective reporting (reporting bias)

Other bias

0 25 50(%)

75 100

Low risk of bias

Unclear risk of bias

High risk of bias

(a)

Random sequence generation (selection bias)

Bernard F 2009

Bernard F 2014

Bonini A 1998

Bredeson C 2013

Cahu X 2016

Copelan EA 2013

Dahlke J 2006

De Berranger E 2014

Granados E 2000

Guilcher G

M 2015

Kalaycio M 2011

Salhotra A 2020

Scott B 2004

Speziali C 2019

Uberti JP 2010

+ + + + +

+

++ + + + +

+ + ++

+

+

+ +

+ + ++

++++

+ + +

+

+ + ++ +

+

+

++++

+

+

++

++ + +

+ ++ + + + +

+

++

Allocation concealment (selection bias)

Blinding of participants and personnel (performance bias)

Blinding of outcome assessment (detection bias)

Incomplete outcome data (attrition bias)

Selective reporting (reporting bias)

Other bias– – – –

–––

– ––– –

–– –

– –

(b)

Figure 2: Literature quality evaluation chart. (a) Risk of bias graph. (b) Risk of bias summary.

0 SE (log[OR])

0.2

0.4

0.6

0.8

10.01 0.1 1 10 100

OR

(a)

0 SE (log[OR])

0.1

0.2

0.3

0.4

0.50.01 0.1 1 10 100

OR

(b)

Figure 3: Continued.

4 Journal of Healthcare Engineering

relapse rate and disease-free survival is high; while, patientstreated with intravenous BU, with improved survival due toreduced side effects of BU, obtained similar results to that ofTBI-MAC. Analysis from the International Blood and Bone

Marrow Transplantation Research Center showed that forAML patients in remission, disease-free and overall survivalin the BU group outperformed the TBI group, with similarrelapse rates and low nonrelapse mortality [26]. No large

0 SE (log[OR])

0.1

0.2

0.3

0.4

0.50.01 0.1 1 10 100

OR

(c)

0 SE (log[OR])

0.1

0.2

0.3

0.4

0.50.01 0.1 1 10 100

OR

(d)

Figure 3: (a)–(d) Funnel plot of literature publication bias.

Table 1: Basic clinical features of 15 literature included in our study.

Study Age Gender (male)(%)

Hospitalizationdays

BU/CY group(N)

TBI/CY group(N)

NOSscore Research type

Speziali et al. [11] 6.71± 2.2 44.25 17.8± 1.1 26/146 16/146 8 RCTUberti et al. [12] 6.65± 3.4 59.12 12.2± 1.3 240/1593 200/1593 7 RCTBernard et al. [13] 6.12± 4.5 45.72 12.4± 3.9 174/240 66/130 7 RCTSalhotra et al. [14] 7.15± 1.5 44.12 12.9± 4.9 47/167 34/167 7 RCTKalaycio et al. [15] 6.85± 2.4 51.89 9.8± 3.4 19/86 14/86 8 RCTCopelan et al. [16] 6.36± 3.2 63.45 11.2± 5.1 311/1230 197/1230 7 RCTBernard et al. [17] 9.62± 12.2 78.10 10.9± 2.1 16/42 14/46 9 RCTGuilcher et al. [18] 6.61± 3.0 48.75 19.9± 1.4 21/78 17/78 9 RCTScott et al. [19] 7.25± 1.51 59.23 13.4± 4.1 43/128 40/128 7 RCTDe Berranger et al.[20] 6.22± 1.21 56.22 17.8± 1.5 56/226 41/142 8 RCT

Bredeson et al. [21] 11.35± 2.12 53.16 16.1± 5.9 121/458 102/458 8 RCTCahu et al. [22] 9.25± 1.01 66.34 17.5± 1.6 125/601 112/601 8 RCTDahlke et al. [23] 8.51± 2.61 48.34 15.0± 5.6 23/76 16/76 7 RCTBonini et al. [24] 12.34± 3.51 53.12 12.4± 1.7 12/26 9/26 9 RCTGranados et al. [25] 9.25± 4.21 67.22 11.1± 1.2 45/114 11/42 9 RCT

Study or Subgroup

Bernard F 2019Bernard F 2014Bonini A 1998Bredeson C 2013

16174

12121

1466

9102

46130

26

7.421.14.3

458 67.2

42240

26458

TBI/CY group BU/CY group

Total TotalWeight

(%)

Odds Ratio

M–H, Fixed, 95% CI

Odds Ratio Risk of Bias

M–H, Fixed, 95% CI A B C D E F GEvents Events

100.0

0.01

Favours [experimental] Favours [control]

0.1 1 10 100

1.56 [1.23, 1.97]

1.25 [0.93, 1.70]1.62 [0.53, 4.95]2.56 [1.64, 3.99]1.41 [0.58, 3.41]

660766191323

Total (95% CI)Total events

Risk of bias legend

Heterogeneity: Chi2 = 6.79, df = 3 (P = 0.08); I2 = 56%Test for overall effect: Z = 3.69 (P = 0.0002)

(A) Random sequence generation (selection bias)(B) Allocation concealment (selection bias)(C) Blinding of participants and personnel (performance bias)(D) Blinding of outcome assessment (detection bias)(E) Incomplete outcome data (attrition bias)(F) Selective reporting (reporting bias)(G) Other bias

+

++

++

++

+ +++

++

+ ++

+–

––––

Figure 4: Meta-analysis of transplant failure rate between two groups.

Journal of Healthcare Engineering 5

sample size has been reported in treating similar results inAML patients with relapse/refractory. -e statistical resultsfrom this study showed that relapse was the main cause ofdeath in the two groups of relapsed/refractory AML patients.In addition to applying new drugs and new technologies toreduce the pretransplant tumor load, the improved

pretreatment protocol can also reduce the nonrelapsemortality and improve survival. In recent years, it has beenreported that pretreatment with TBI combined with BU ormafalan has reduced nonrelapse mortality and improveddisease-free survival in patients. At the same time, the re-sidual leukemia was detected regularly after transplantation,

Study or Subgroup

Cahu X 2016Copelan EA 2013Dahlke J 2006De Berranger E 2014

125311

2356

112197

1641

6011230

76

31.151.73.9

142 13.3

6011230

76226

TBI/CY group BU/CY group

Total TotalWeight

(%)

Odds Ratio

M–H, Fixed, 95% CI

Odds Ratio Risk of Bias

M–H, Fixed, 95% CI A B C D E F GEvents Events

100.0

0.01

Favours [experimental] Favours [control]

0.1 1 10 100

1.45 [1.24, 1.68]

0.81 [0.51, 1.30]1.63 [0.78, 3.40]1.77 [1.45, 2.17]1.15 [0.86, 1.52]

20492133366515

Total (95% CI)Total events

Risk of bias legend

Heterogeneity: Chi2 = 12.45, df = 3 (P = 0.006); I2 = 76%Test for overall effect: Z = 4.80 (P < 0.00001)

(A) Random sequence generation (selection bias)(B) Allocation concealment (selection bias)(C) Blinding of participants and personnel (performance bias)(D) Blinding of outcome assessment (detection bias)(E) Incomplete outcome data (attrition bias)(F) Selective reporting (reporting bias)(G) Other bias

+

++

+–

+ ++–+

+ ++

++

+

+

+–

Figure 5: Meta-analysis of transplant mortality between two groups.

Study or Subgroup

Granados E 2000Guilcher GM 2015 Kalaycio M 2011Salhotra A 2020

45211947

11171434

427886

16.921.619.0

167 42.5

1147886

167

TBI/CY group BU/CY group

Total TotalWeight

(%)

Odds Ratio

M–H, Fixed, 95% CI

Odds Ratio Risk of Bias

M–H, Fixed, 95% CI A B C D E F GEvents Events

100.0

0.01

Favours [experimental] Favours [control]

0.1 1 10 100

1.52 [1.09, 2.12]

1.53 [0.92, 2.54]1.46 [0.68, 3.14]1.32 [0.63, 2.76]1.84 [0.84, 4.02]

37344576132

Total (95% CI)Total events

Risk of bias legend

Heterogeneity: Chi2 = 0.38, df = 3 (P = 0.95); I2 = 0%Test for overall effect: Z = 2.50 (P = 0.01)

(A) Random sequence generation (selection bias)(B) Allocation concealment (selection bias)(C) Blinding of participants and personnel (performance bias)(D) Blinding of outcome assessment (detection bias)(E) Incomplete outcome data (attrition bias)(F) Selective reporting (reporting bias)(G) Other bias

+ +––

++

+ +–

++++

+ ++

++

––––

Figure 6: Meta-analysis of transplantation long-term disease-free survival rate between two groups.

Study or Subgroup

Salhotra A 2020Scott B 2004Speziali C 2019Uberti JP 2010

474326

240

344016

200

167128146

10.411.45.6

1593 72.6

167128146

1593

TBI/CY group BU/CY group

Total TotalWeight

(%)

Odds Ratio

M–H, Fixed, 95% CI

Odds Ratio Risk of Bias

M–H, Fixed, 95% CI A B C D E F GEvents Events

100.0

0.01

Favours [experimental] Favours [control]

0.1 1 10 100

1.28 [1.08, 1.52]

1.24 [1.01, 1.51]1.76 [0.90, 3.44]1.11 [0.66, 1.88]1.53 [0.92, 2.54]

20342034290356

Total (95% CI)Total events

Risk of bias legend

Heterogeneity: Chi2 = 1.75, df = 3 (P = 0.63); I2 = 0%Test for overall effect: Z = 2.85 (P = 0.004)

(A) Random sequence generation (selection bias)(B) Allocation concealment (selection bias)(C) Blinding of participants and personnel (performance bias)(D) Blinding of outcome assessment (detection bias)(E) Incomplete outcome data (attrition bias)(F) Selective reporting (reporting bias)(G) Other bias

+

+– –

+ –+

+++

++

– ++++

+

++++–

Figure 7: Meta-analysis of incidence of transplantation adverse reactions between two groups.

6 Journal of Healthcare Engineering

and the early withdrawal of immunosuppressant and im-munotherapy also improved according to the patient’sdisease status and patient prognosis [27].

Hematopoietic stem cell transplantation can curechildhood leukemia, aplastic anemia, hemoglobin disease,and congenital immune deficiency [28]. -e pretreatmentregiments for pediatric transplantation include total bodyirradiation (TBI) and chemotherapy alone [29–32]. -emost classical pretreatment regiments are TBI/CY and BU/CY. Preconditioning is one of the important factors affectingthe curative effect of hematopoietic stem cell transplantation[33]. -e BU/CY-based pretreatment protocols are two ofwhich are considered classical pretreatment options forHSCT [34]. However, there is little literature on the impactof different pretreatment protocols on pediatric HSCT [35].-e results show that children in hematopoietic stem celltransplantation, TBI/CY and BU/CY two pretreatmentmethods, implant failure rate, no significant difference be-tween the BU/CY group-related increased mortality aftertransplantation, might be more prone to this group of pa-tients after transplantation of complications such as com-plicated with hepatic vein occlusion disease, hemorrhagiccystitis, and lead to the early death of increase after trans-plantation. -e long-term disease-free survival rate in theTBI/CY group was significantly better than that in the BU/CY group [36–39].

-is study has some limitations: the number of RCTsincluded and the number of cases is small, which may have acertain publication bias; the number of included literaturewas small, and no subgroup analysis was performed tocompare the efficacy; this study only evaluated the efficacy atthe end of treatment, but did not evaluate the maintenanceof the medium and long-term efficacies.

5. Conclusion

-e available evidence tentatively demonstrates the safetyand efficacy of BU/CY in pediatric HSCT [40], and TBI/CYcombined pretreatment regimen was more effective thanBU/CY regimen alone in the treatment of pediatric hema-tologic transplantation, with a lower incidence of adversereactions and significant long-term survival efficacy.

Data Availability

-e data used to support the findings of this study areavailable from the corresponding author upon request.

Conflicts of Interest

-e authors declare that they have no conflicts of interest.

Acknowledgments

-is study was funded by Inner Mongolia AutonomousRegion People’s Hospital in Hospital Fund Project(2019YN06).

References

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