Evidence map›Paper›PMID 29367388›Full record

SynthesisBMJ (Clinical research ed.)2018

Low cigarette consumption and risk of coronary heart disease and stroke: meta-analysis of 141 cohort studies in 55 study reports.

Allan Hackshaw, Joan K Morris, Sadie Boniface, Jin-Ling Tang, Dušan Milenković

Erratum issuedOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 295 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
295citing papers in PubMed, 9 pooled it
36.6field-weighted citation impact, top 1% 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

295 citing papers in PubMed, 9 syntheses or guidelines pooled it, 617 citations in OpenAlex.

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  10. Biomarkers of Nicotine and Tobacco Carcinogen Exposure in Socioeconomically Disadvantaged Black Adults Receiving a Brief Smoking Reduction Intervention.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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235 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Allan HackshawCancer Research UK and UCL Cancer Trials Centre, University College London, London W1T 4TJ, UK.
Joan K MorrisWolfson Institute of Preventive Medicine, Queen Mary, University of London, London, UK.
Sadie BonifaceAddictions Department, Kings College London, London, UK.
Jin-Ling TangJC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong.
Dušan MilenkovićMeta Research, Evidera, London, UK (formerly Cancer Research UK and UCL Cancer Trials Centre).
University College London · GBChinese University of Hong Kong · CNKing's College London · GBQueen Mary University of London · GB

Funding

Cancer Research UK 25349Cancer Research UK C444/A15953
6 · The paper itself

Abstract

objectiveTo use the relation between cigarette consumption and cardiovascular disease to quantify the risk of coronary heart disease and stroke for light smoking (one to five cigarettes/day).

designSystematic review and meta-analysis. DATA SOURCES: Medline 1946 to May 2015, with manual searches of references. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Prospective cohort studies with at least 50 events, reporting hazard ratios or relative risks (both hereafter referred to as relative risk) compared with never smokers or age specific incidence in relation to risk of coronary heart disease or stroke. DATA EXTRACTION/SYNTHESIS: MOOSE guidelines were followed. For each study, the relative risk was estimated for smoking one, five, or 20 cigarettes per day by using regression modelling between risk and cigarette consumption. Relative risks were adjusted for at least age and often additional confounders. The main measure was the excess relative risk for smoking one cigarette per day (RR

resultsThe meta-analysis included 55 publications containing 141 cohort studies. Among men, the pooled relative risk for coronary heart disease was 1.48 for smoking one cigarette per day and 2.04 for 20 cigarettes per day, using all studies, but 1.74 and 2.27 among studies in which the relative risk had been adjusted for multiple confounders. Among women, the pooled relative risks were 1.57 and 2.84 for one and 20 cigarettes per day (or 2.19 and 3.95 using relative risks adjusted for multiple factors). Men who smoked one cigarette per day had 46% of the excess relative risk for smoking 20 cigarettes per day (53% using relative risks adjusted for multiple factors), and women had 31% of the excess risk (38% using relative risks adjusted for multiple factors). For stroke, the pooled relative risks for men were 1.25 and 1.64 for smoking one or 20 cigarettes per day (1.30 and 1.56 using relative risks adjusted for multiple factors). In women, the pooled relative risks were 1.31 and 2.16 for smoking one or 20 cigarettes per day (1.46 and 2.42 using relative risks adjusted for multiple factors). The excess risk for stroke associated with one cigarette per day (in relation to 20 cigarettes per day) was 41% for men and 34% for women (or 64% and 36% using relative risks adjusted for multiple factors). Relative risks were generally higher among women than men.

conclusionsSmoking only about one cigarette per day carries a risk of developing coronary heart disease and stroke much greater than expected: around half that for people who smoke 20 per day. No safe level of smoking exists for cardiovascular disease. Smokers should aim to quit instead of cutting down to significantly reduce their risk of these two common major disorders.

Indexed as

SmokingCohort StudiesCoronary DiseaseHumansStroke

Identifiers

PMID29367388
PMCPMC5781309
OpenAlexW2785397701

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.