SynthesisThe Cochrane database of systematic reviews2005
Biomedical risk assessment as an aid for smoking cessation.
Synthesis in The Cochrane database of systematic reviews, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours.The Cochrane database of systematic reviews · 2010Pooled it
- Interventions for promoting smoking cessation during pregnancy.The Cochrane database of systematic reviews · 2009Pooled it
- Effectiveness of biomedical risk assessment as an aid for smoking cessation: a systematic review.Tobacco control · 2007Pooled it
- Effectiveness of spirometry as a motivational tool for smoking cessation: a clinical trial, the ESPIMOAT study.BMC family practice · 2013Trial
- Clinical trial on the efficacy of exhaled carbon monoxide measurement in smoking cessation in primary health care.BMC public health · 2012Trial
- Ultrasound feedback and motivational interviewing targeting smoking cessation in the second and third trimesters of pregnancy.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2009Trial
- Impact of a brief motivational smoking cessation intervention the Get PHIT randomized controlled trial.American journal of preventive medicine · 2009Trial
- Effect on smoking quit rate of telling patients their lung age: the Step2quit randomised controlled trial.BMJ (Clinical research ed.) · 2008Trial
- Co-development of an evidence-based personalised smoking cessation intervention for use in a lung cancer screening context.BMC pulmonary medicine · 2022Article
- Promoting Smoke-Free Homes Through Biomarker Feedback Documenting Child Exposure to Tobacco Toxins: Protocol for a Randomized Clinical Trial.JMIR research protocols · 2019Article
- Development and validation of the Salzburg COPD-screening questionnaire (SCSQ): a questionnaire development and validation study.NPJ primary care respiratory medicine · 2017Article
- When does personalized feedback make a difference? A narrative review of recent findings and their implications for promoting better diabetes self-care.Current diabetes reports · 2015Review
- The association of lung age with smoking status in korean men.Korean journal of family medicine · 2014Article
- Feasibility of detection and intervention for alcohol-related liver disease in the community: the Alcohol and Liver Disease Detection study (ALDDeS).The British journal of general practice : the journal of the Royal College of General Practitioners · 2013Article
- The effectiveness of interventions to change six health behaviours: a review of reviews.BMC public health · 2010Review
- Smoking cessation in chronic obstructive pulmonary disease: an effective medical intervention.Deutsches Arzteblatt international · 2009Article
- Help smokers quit: tell them their "lung age".The Journal of family practice · 2008Article
- Incentives to quit smoking in primary care.BMJ (Clinical research ed.) · 2008Article
Corrections and comments
- Updated by
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA possible strategy for increasing smoking cessation rates could be to provide smokers who have contact with healthcare systems with feedback on the biomedical or potential future effects of smoking, e.g. measurement of exhaled carbon monoxide (CO), lung function, or genetic susceptibility to lung cancer. We reviewed systematically data on smoking cessation rates from controlled trials that used biomedical risk assessment and feedback.
objectivesTo determine the efficacy of biomedical risk assessment provided in addition to various levels of counselling, as a contributing aid to smoking cessation. SEARCH STRATEGY: We systematically searched he Cochrane Collaboration Tobacco Addiction Group Specialized Register, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (1966 to 2004), and EMBASE (1980 to 2004). We combined methodological terms with terms related to smoking cessation counselling and biomedical measurements. SELECTION CRITERIA: Inclusion criteria were: a randomized controlled trial design; subjects participating in smoking cessation interventions; interventions based on a biomedical test to increase motivation to quit; control groups receiving all other components of intervention; an outcome of smoking cessation rate at least six months after the start of the intervention. DATA COLLECTION AND ANALYSIS: Two assessors independently conducted data extraction on each paper, with disagreements resolved by consensus. MAIN
resultsFrom 4049 retrieved references, we selected 170 for full text assessment. We retained eight trials for data extraction and analysis. One of the eight used CO alone and CO + Genetic Susceptibility as two different intervention groups, giving rise to three possible comparisons. Three of the trials isolated the effect of exhaled CO on smoking cessation rates resulting in the following odds ratios (ORs) and 95% confidence intervals (95% CI): 0.73 (0.38 to 1.39), 0.93 (0.62 to 1.41), and 1.18 (0.84 to 1.64). Combining CO measurement with genetic susceptibility gave an OR of 0.58 (0.29 to 1.19). Exhaled CO measurement and spirometry were used together in three trials, resulting in the following ORs (95% CI): 0.6 (0.25 to 1.46), 2.45 (0.73 to 8.25), and 3.50 (0.88 to 13.92). Spirometry results alone were used in one other trial with an OR of 1.21 (0.60 to 2.42). Two trials used other motivational feedback measures, with an OR of 0.80 (0.39 to 1.65) for genetic susceptibility to lung cancer alone, and 3.15 (1.06 to 9.31) for ultrasonography of carotid and femoral arteries performed in light smokers (average 10 to 12 cigarettes a day). AUTHORS'
conclusionsDue to the scarcity of evidence of sufficient quality, we can make no definitive statements about the effectiveness of biomedical risk assessment as an aid for smoking cessation. Current evidence of lower quality does not however support the hypothesis that biomedical risk assessment increases smoking cessation in comparison with standard treatment. Only two studies were similar enough in term of recruitment, setting, and intervention to allow pooling of data and meta-analysis.
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Registered trials
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.