Evidence map›Paper›PMID 30623078›Full record

ArticleHealth science reports2018

The impact of lung function case-finding tests on smoking behaviour: A nested randomised trial within a case-finding cohort.

Sarah J Ronaldson, Lisa Dyson, Laura Clark, Catherine E Hewitt, David J Torgerson, Brendan G Cooper, Matt Kearney, William Laughey, Raghu Raghunath, Lisa Steele and 3 more

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Strategies to improve smoking cessation rates in primary care.The Cochrane database of systematic reviews · 2021
    Pooled it
  2. Trial
  3. Article
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

13 authors at 7 institutions in 1 country.

Sarah J RonaldsonYork Trials Unit, Department of Health Sciences University of York York UK.ORCID 0000-0001-8321-786X
Lisa DysonYork Trials Unit, Department of Health Sciences University of York York UK.
Laura ClarkYork Trials Unit, Department of Health Sciences University of York York UK.
Catherine E HewittYork Trials Unit, Department of Health Sciences University of York York UK.
David J TorgersonYork Trials Unit, Department of Health Sciences University of York York UK.
Brendan G CooperLung Function and Sleep Queen Elizabeth Hospital Birmingham Birmingham UK.
Matt KearneyNHS England and Public Health England London UK.
William LaugheyHull York Medical School York UK.
Raghu RaghunathJames Alexander Family Practice Hull UK.
Lisa SteeleJames Alexander Family Practice Hull UK.
Rebecca RhodesEscrick Surgery York UK.
Joy AdamsonInstitute of Health and Society Newcastle University Newcastle upon Tyne UK.
DOC study team
University of York · GBHull City Council · GBESCP Business School · GBHull York Medical School · GBNewcastle University · GBPublic Health England · GBQueen Elizabeth Hospital Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE AIMS AND

objectivesIncreasing awareness of people's lung health through the use of lung function tests or symptom-based questionnaires is a potential method to aid smoking cessation. We investigated the impact of case-finding lung function tests for chronic obstructive pulmonary disease on smoking behaviour.

methodsOur trial used a novel waiting list randomised controlled trial design, nested within a case-finding cohort study. The cohort comprised current smokers aged 35 years or more, from general practices in Yorkshire and Humberside, who were randomised to receive lung function tests (spirometry, microspirometry, peak flow meter measurement, and a WheezoMeter) and case-finding questionnaires either immediately ("tests now") or later ("waiting list" control). Outcome measures included self-reported smoking cessation and number of cigarettes smoked at follow-up (at 2, 3, or 6 months after randomisation, depending on study site), with 409 participants included in the primary analysis.

resultsSix hundred seventy-four participants were randomised using stratified block randomisation to the 2 groups (340 to "tests now" and 334 to "waiting list"), with 409 included in the primary analysis (194 in "tests now" and 215 in "waiting list" groups). Smoking cessation at follow-up was very similar across groups (8.8% in the "tests now" group, compared with 9.2% in the "waiting list" group). Completing case-finding lung function tests did not significantly impact smoking cessation (OR 1.00, 95% CI, 0.57-1.77, adjusting for age, sex, baseline number of cigarettes smoked, and study site). A sensitivity analysis, assuming that participants with missing data were still smoking, gave similar results (OR 0.86, 95% CI, 0.47-1.56). Analysis of the number of cigarettes smoked at follow-up using negative binomial regression adjusting for the same factors above gave an incidence rate ratio of 0.95 (95% CI, 0.88-1.03).

conclusionsThere is no evidence from this trial of an effect of lung function tests on smoking cessation among a population of smokers aged 35 years or over. Indeed, when assuming that those with missing data were smokers, a slightly lower odds of smoking cessation was observed in the "test now" group compared with the "waiting list" group.

Indexed as

COPDlung function testsrandomised controlled trialrespiratory questionnairesmoking cessationspirometry

Identifiers

PMID30623078
PMCPMC6266471
OpenAlexW2804047359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.