Evidence map›Paper›PMID 42435292›Full record

Trial reportEuropean journal of epidemiology2026

A large randomized trial assessing alcohol cessation versus moderation on clinical events: UNATI.

Miguel Ángel Martínez-González, Principal Investigators of the UNATI trial

Abstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Miguel Ángel Martínez-GonzálezCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. mamartinez@unav.es.
Principal Investigators of the UNATI trial

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health effects of moderate alcohol consumption remain a highly debated topic in public health and epidemiology. While observational studies have suggested a possible protective effect of moderate drinking, particularly within Mediterranean patterns, concerns about confounding and selection bias persist. No randomized trial to date has definitively addressed whether alcohol cessation offers superior health benefits compared to sustained moderate drinking. In response to this evidence gap, the European Research Council has funded the University of Navarra Alumni Trialist Initiative (UNATI), a large, pragmatic, randomized controlled trial designed to assess the long-term effects of two behavioral interventions: complete alcohol cessation versus moderated consumption following a Mediterranean pattern. UNATI will enroll over 10,000 adults in Spain (men aged 50-70 and women aged 55-75) who currently consume alcohol regularly. Participants will be randomly assigned to one of the two interventions for four years, with annual clinical evaluations and lifestyle assessments. The trial's hybrid design-combining centralized coordination with a network of regional medical professionals-offers a unique opportunity to generate high-quality causal evidence in a real-world setting. If successful, UNATI could become a landmark study, helping to resolve a decades-long controversy regarding moderate alcohol use and health.

Indexed as

Alcohol AbstinenceAlcohol DrinkingAgedFemaleHumansMiddle AgedResearch DesignSpainAlcohol cessationMediterranean drinking patternModerate alcohol consumptionRandomized controlled trialUNATI study

Identifiers

PMID42435292
PMCPMC13424216

What OpenQuestion holds

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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.