Evidence map›Paper›PMID 12952136›Full record

SynthesisEuropean journal of epidemiology2003

How stable is the risk curve between alcohol and all-cause mortality and what factors influence the shape? A precision-weighted hierarchical meta-analysis.

Gerhard Gmel, Elisabeth Gutjahr, Jürgen Rehm

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 6 pooled it
–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

52 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  14. Patterns of Alcohol Consumption in the PURE Poland Cohort Study and Their Relationship with Health Problems.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Gerhard GmelSwiss Institute for the Prevention of Alcohol and Drug Problems, Lausanne, Switzerland. ggmel@sfa-ispa.ch
Elisabeth Gutjahr
Jürgen Rehm

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the influence of six determining variables on the shape of the risk curve between alcohol and all-cause mortality.

methodsDATA: Based on a systematic search with clear inclusion criteria, all articles on alcohol and all-cause mortality until 2000 were included. STATISTICAL

methodsPrecision-weighted pooling of relative risks (RRs); precision-weighted hierarchical analysis. VARIABLES: For pooling: RRs for different categories of average volume of drinking, lifetime abstainers and ex-drinkers. For hierarchical analysis: on first level: consumption in grams of pure alcohol per day; on second level: length of follow-up time in months; per capita consumption; average age, proportion of abstainers, average volume of drinking, and variability of average volume of drinking at baseline. OUTCOMES MEASURES: RR of former and current drinkers for all-cause mortality compared to abstainers.

resultsThe main hypotheses could be confirmed for males: Ex-drinkers had a higher mortality risk than lifetime abstainers; the higher and the more diverse the average volume of alcohol consumption, the wider the dip of the curve; the older the persons at baseline, the more pronounced the protective effect; and the longer the follow-up time, the less pronounced the protective effect. Except for average volume of drinking effects for females went in the same direction but with one exception did not reach significance.

conclusionsThere are systematic influences on the shape of the risk curve between alcohol and all-cause mortality. The overall beneficial effect of light to moderate drinking remained under all scenarios, indicating a high validity of the overall shape despite the heterogeneity between studies.

Indexed as

Cause of DeathAge DistributionAlcohol DrinkingCohort EffectEffect Modifier, EpidemiologicEpidemiologic Research DesignFemaleFollow-Up StudiesHumansMaleRiskRisk AssessmentRisk FactorsSex DistributionSex FactorsTime Factors

Identifiers

What OpenQuestion holds

Textmetadata
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.