Evidence map›Paper›PMID 39174063›Full record

ArticleBMJ open2024

Clinical decision-making on lung cancer investigations in primary care: a vignette study.

Lucy Mitchinson, Christian von Wagner, Alexandra Blyth, Heer Shah, Meena Rafiq, Samuel William David Merriel, Matthew Barclay, Georgios Lyratzopoulos, Willie Hamilton, Gary A Abel and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. 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

11 authors.

Lucy MitchinsonResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.ORCID 0000-0003-3648-2913
Christian von WagnerResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK c.wagner@ucl.ac.uk.ORCID 0000-0002-7971-0691
Alexandra BlythResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Heer ShahResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Meena RafiqResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Samuel William David MerrielCentre for Primary Care & Health Services Research, The University of Manchester, Manchester, UK.
Matthew BarclayResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.ORCID 0000-0003-1148-1922
Georgios LyratzopoulosResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.ORCID 0000-0002-2873-7421
Willie HamiltonCollege of Medicine and Health, University of Exeter Medical School, Exeter, UK.ORCID 0000-0003-1611-1373
Gary A AbelCollege of Medicine and Health, University of Exeter Medical School, Exeter, UK.ORCID 0000-0003-2231-5161
Cristina RenziResearch Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the role of comorbid chronic obstructive pulmonary disease (COPD) and symptom type on general practitioners' (GP's) symptom attribution and clinical decision-making in relation to lung cancer diagnosis.

designVignette survey with a 2×2 mixed factorial design.

settingA nationwide online survey exploring clinical decision-making in primary care.

participants109 GPs based in the United Kingdom (UK) who were registered as responders on Dynata (an online survey platform).

interventionsGPs were presented with four vignettes which described a patient aged 75 with a smoking history presenting with worsening symptoms (either general or respiratory) and with or without a pre-existing diagnosis of COPD. PRIMARY AND SECONDARY OUTCOME MEASURES: GPs indicated the three most likely diagnoses (free-text) and selected four management approaches (20 pre-coded options). Attribution of symptoms to lung cancer and referral for urgent chest X-ray were primary outcomes. Alternative diagnoses and management approaches were explored as secondary outcomes. Multivariable mixed-effects logistic regression was used, including random intercepts for individual GPs.

results422 vignettes were completed. There was no evidence for COPD status as a predictor of lung cancer attribution (OR=1.1, 95% CI=0.5-2.4, p=0.914). There was no evidence for COPD status as a predictor of urgent chest X-ray referral (OR=0.6, 95% CI=0.3-1.2, p=0.12) or as a predictor when in combination with symptom type (OR=0.9, 95% CI=0.5-1.8, p=0.767).

conclusionsLung cancer was identified as a possible diagnosis for persistent respiratory by only one out of five GPs, irrespective of the patients' COPD status. Increasing awareness among GPs of the link between COPD and lung cancer may increase the propensity for performing chest X-rays and referral for diagnostic testing for symptomatic patients.

Indexed as

Clinical Decision-MakingGeneral PractitionersLung NeoplasmsPrimary Health CarePulmonary Disease, Chronic ObstructiveAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedPractice Patterns, Physicians'Referral and ConsultationSurveys and QuestionnairesUnited Kingdomadult oncologychronic airways diseaseclinical decision-makinglung diseasesprimary care

Identifiers

PMID39174063
PMCPMC11340710

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.