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Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC...

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www.worldcancercongress.org Disclosure of Interest: None Declared Abstract code: Smoking cessation after a cancer diagnosis Potential survival benefits Freddy Sitas, Marianne Weber , Sam Egger, Sarsha Yap, May Chiew, Dianne O’Connell 323
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Page 1: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

www.worldcancercongress.org

Disclosure of Interest: None Declared Abstract code:

Smoking cessation after a cancer diagnosis Potential survival benefits Freddy Sitas, Marianne Weber, Sam Egger, Sarsha Yap, May Chiew, Dianne O’Connell

323

Page 2: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

Is survival increased if smokers quit after

diagnosis? CVD MS Diabete

s C C C

Cancer

?

Page 3: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

What we do know •  Continued smoking after a cancer diagnosis increases the

risk of treatment complications, second primary tumours, cancer recurrence

•  All-cause mortality is higher for cancer survivors who continue to smoke vs. never smokers, or survivors who quit sometime before diagnosis

•  What about recent quitters? - people who quit around the time they are diagnosed with cancer?

Page 4: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

Recent quitters

•  Meta-analysis of small cell lung cancer: 5-year survival 63% recent quitters vs. 29% smokers (Parsons, 2010)

•  US study of ~5000 cancers: overall mortality ~17% higher for continuing smokers after 12 year follow-up period compared to recent quitters (Warren, 2013)

•  RCT, where smoking cessation compliance was between 5% – 40%, would need 9,500 - 600,000 cancer patients

Parsons, et al: BMJ 340:b5569, 2010 Warren, et al: Int J Cancer 132:401-10, 2013

Page 5: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

Modelling approach •  We estimated the effects of smoking on the probability of survival

after a cancer diagnosis in Australia and USA.

•  Used 3 pieces of information: 1.  Cancer survival estimates 2001-08 (from CCR, NSW and SEER,

USA)

2.  Mortality risk estimates by smoking status (from the US study of 5000 cancers, Warren, et al., 2013)

3.  Proportion of cancer patients that are smokers, recent quitters, former smokers or never smokers (from CLEAR and Warren, et al., 2013)

Warren, et al: Int J Cancer 132:401-10, 2013

Page 6: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

.4

.5

.6

.7

.8

.9

1

0 2 4 6 8 0 2 4 6 8

USA Australia

All cancer survivors Never smokerFormer smoker Recent quitterCurrent smoker

Pro

babi

lity

of s

urvi

val

Years since cancer diagnosis

Recent quitters: 49% Current smokers: 43%

Recent quitters: 43% Current smokers: 37%

Page 7: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

Limitations The model is only as good as the information we feed it. Survival estimates could change depending on a number of factors:

•  The relative risk of survival by smoking status used – the Warren estimates may not be generalisable across populations

•  Different proportions of cancer types represented - e.g. potential for very different distributions of underlying cancers, stages of cancer and cancer therapies

•  Estimates of smoking prevalences - might not be typical of the whole population

•  Possible local variation around the treatment of people with cancer who smoke

Page 8: Smoking cessation after a cancer diagnosis · Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014 Modelling approach • We estimated the effects

Marianne Weber, 45 and Up Research Fellow UICC Abstract #323, Melbourne 4th Dec 2014

Where to now?

•  Can we integrate smoking cessation as adjuvant therapy in smokers with cancer?

•  Planned editorial changes in our “Understanding Cancer” Series (3-5 years)

•  Advocacy to add info into National Treatment Guidelines

•  Model probabilities for LMIC


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