Evidence map›Paper›PMID 28893814›Full record

ArticleAnnals of family medicine2017

Physician Support of Smoking Cessation After Diagnosis of Lung, Bladder, or Upper Aerodigestive Tract Cancer.

Amanda Farley, Constantinos Koshiaris, Jason Oke, Ronan Ryan, Lisa Szatkowski, Richard Stevens, Paul Aveyard

Open access · diamondAbstract read
In one paragraph

Article in Annals of family medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Smoking cessation for secondary prevention of cardiovascular disease.The Cochrane database of systematic reviews · 2022
    Pooled it
  3. Trial
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  8. "Do You Smoke?" Physician-Patient Conversations About Smoking and Lung Cancer.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Amanda FarleyInstitute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
Constantinos KoshiarisNuffield Department of Primary Care Health Sciences, UK Centre for Tobacco and Alcohol Studies, University of Oxford, Oxford, United Kingdom.
Jason OkeNuffield Department of Primary Care Health Sciences, UK Centre for Tobacco and Alcohol Studies, University of Oxford, Oxford, United Kingdom jason.oke@phc.ox.ac.uk.
Ronan RyanInstitute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
Lisa SzatkowskiDivision of Epidemiology and Public Health, UK Centre for Tobacco and Alcohol Studies, University of Nottingham, Nottingham, United Kingdom.
Richard StevensNuffield Department of Primary Care Health Sciences, UK Centre for Tobacco and Alcohol Studies, University of Oxford, Oxford, United Kingdom.
Paul AveyardNuffield Department of Primary Care Health Sciences, UK Centre for Tobacco and Alcohol Studies, University of Oxford, Oxford, United Kingdom.
University of Oxford · GBUK Centre for Tobacco & Alcohol Studies · GBUniversity of Birmingham · GB

Funding

Department of Health CSA/02/06/001Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

purposeSmoking cessation after a diagnosis of lung, bladder, and upper aerodigestive tract cancer appears to improve survival, and support to quit would improve cessation. The aims of this study were to assess how often general practitioners provide active smoking cessation support for these patients and whether physician behavior is influenced by incentive payments.

methodsUsing electronic primary care records from the UK Clinical Practice Research Datalink, 12,393 patients with incident cases of cancer diagnosed between 1999 and 2013 were matched 1 to 1 to patients with incident cases of coronary heart disease (CHD) diagnosed during the same time. We assessed differences in the proportion for whom physicians updated smoking status, advised quitting, and prescribed cessation medications, as well as the proportion of patients who stopped smoking within a year of diagnosis. We further examined whether any differences arose because the physicians were offered incentives to address smoking in patients with CHD and not cancer.

resultsAt diagnosis, 32.0% of patients with cancer and 18.2% of patients with CHD smoked tobacco. Patients with cancer were less likely than patients with CHD to have their general practitioners update smoking status (OR = 0.18; 95% CI, 0.17-0.19), advise quitting (OR = 0.38; 95% CI, 0.36-0.40), or prescribe medication (OR = 0.67; 95% CI, 0.63-0.73), and they were less likely to have stopped smoking (OR = 0.76; 95% CI, 0.69-0.84). One year later 61.7% of patients with cancer and 55.4% with CHD who were smoking at diagnosis were still smoking. Introducing incentive payments was associated with more frequent interventions, but not for patients with CHD specifically.

conclusionsGeneral practitioners were less likely to support smoking cessation in patients with cancer than with CHD, and patients with cancer were less likely to stop smoking. This finding is not due to the difference in incentive payments.

Indexed as

AdultAttitude of Health PersonnelDatabases, FactualFemaleGeneral PracticeGeneral PractitionersHead and Neck NeoplasmsHumansLung NeoplasmsMaleMiddle AgedPhysician Incentive PlansSmoking CessationUnited KingdomUrinary Bladder Neoplasmscancerprimary caresmokingsmoking cessation

Identifiers

PMID28893814
PMCPMC5593727
OpenAlexW2754992747

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.