Evidence map›Paper›PMID 42176956›Full record

ArticleThe American journal of clinical nutrition2026

Best (but oft forgotten) practices: Applying the target trial framework in nutrition research.

Michael Fridén, Conor J MacDonald, Deirdre K Tobias, Dalia Stern, Yu-Han Chiu, Daniel B Ibsen

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Michael FridénDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark. Electronic address: micfr@clin.au.dk.
Conor J MacDonaldNovo Nordisk A/S, Bagsværd, Denmark; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Deirdre K TobiasDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Nutrition Department, Harvard TH Chan School of Public Health, Boston, MA, United States.
Dalia SternSECIHTI-Population Health Research Center, National Institute of Public Health, Cuernavaca, Mexico.
Yu-Han ChiuDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, United States; Center for Gerontology and Health Care Research, Brown University School of Public Health, Providence, RI, United States.
Daniel B IbsenSteno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When randomized trials in nutrition are not feasible, timely, or ethical, observational studies serve as important pillars of evidence-informed clinical decision-making and public health guidelines. Given that diet is dynamic, multidimensional, and multifactorial, causal questions of dietary exposures are often complex. Consequently, research questions are often poorly defined, making study findings difficult to interpret and implement in the real world. Conceptualizing the design and analysis of observational data like a hypothetical pragmatic randomized trial, a target trial, is one approach to improve the specificity and interpretation of causal questions. Protocol components, including eligibility criteria, treatment strategies, and assignment procedure, outcome and follow-up, causal contrast, and statistical analysis plan, are clearly specified and subsequently implemented using available observational data. In this paper, we explain the target trial framework approach, describe examples from nutrition research, demonstrate the practical steps of performing a target trial study, and discuss the methodological challenges and opportunities of applying the framework to nutrition research.

Indexed as

Nutritional SciencesResearch DesignHumansObservational Studies as TopicRandomized Controlled Trials as Topiccausal inferenceepidemiologynutritionrandomized trialstarget trial framework

Identifiers

PMID42176956
PMCPMC13494081

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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.