Evidence map›Paper›PMID 24602075›Full record

ArticleDrug and alcohol review2015

Has industry funding biased studies of the protective effects of alcohol on cardiovascular disease? A preliminary investigation of prospective cohort studies.

Jim McCambridge, Greg Hartwell

Open access · hybridAbstract read
In one paragraph

Article in Drug and alcohol review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Jim McCambridgeLondon School of Hygiene & Tropical Medicine, London, UK.
Greg Hartwell
London School of Hygiene & Tropical Medicine · GB

Funding

Wellcome Trust WT086516MA
6 · The paper itself

Abstract

INTRODUCTION AND

aimsThere have been no previous quantitative analyses of the possible effects of industry funding on alcohol and health research. This study examines whether findings of alcohol's protective effects on cardiovascular disease may be biased by industry funding. DESIGN AND

methodsFindings from a recent systematic review of prospective cohort studies were combined with public domain data on alcohol industry funding. The six outcomes evaluated were alcohol's effects on cardiovascular disease mortality, incident coronary heart disease, coronary heart disease mortality, incident stroke, stroke mortality and mortality from all causes.

resultsWe find no evidence of possible funding effects for outcomes other than stroke. Whether studies find alcohol to be a risk factor or protective against incident stroke depends on whether or not there is possible industry funding [risk ratio (RR) 1.07 (0.97-1.17) for those without concern about industry funding compared with RR 0.88 (0.81-0.94)]. For stroke mortality, a similar difference is not statistically significant, most likely because there are too few studies. DISCUSSION AND

conclusionsDedicated high-quality studies of possible alcohol industry funding effects should be undertaken, and these should be broad in scope. They also need to investigate specific areas of concern, such as stroke, in greater depth.

Indexed as

Alcoholic BeveragesBiasBiomedical ResearchCardiovascular DiseasesEthanolFood IndustryHumansResearch Support as TopicRisk FactorsStrokeEthanolalcoholalcohol industrybiascardiovascular diseasehealth benefits

Identifiers

PMID24602075
PMCPMC4441279
OpenAlexW1556903744

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.