Evidence map›Paper›PMID 39882290›Full record

ReviewBMJ nutrition, prevention & health2024

Nutrition Users' Guides: RCTs Part 2 - structured guide for interpreting and applying study results from randomised controlled trials on therapy or prevention questions.

Malgorzata M Bala, Arnav Agarwal, Kevin C Klatt, Robin W M Vernooij, Pablo Alonso-Coello, Jeremy P Steen, Gordon H Guyatt, Tiffany Duque, Bradley C Johnston

Abstract readReview
In one paragraph

Review in BMJ nutrition, prevention & health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Malgorzata M BalaChair of Epidemiology and Preventive Medicine, Department of Hygiene and Dietetics, Jagiellonian University Medical College, Krakow, Poland.
Arnav AgarwalDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Kevin C KlattDepartment of Nutritional Science and Toxicology, University of California Berkeley, Berkeley, California, USA.
Robin W M VernooijDepartment of Nephrology and Hypertension, University Medical Centre Utrecht, Utrecht, The Netherlands.
Pablo Alonso-CoelloIberomerican Cochrane Centre, Sant Antoni Maria Claret, Barcelona, Spain.
Jeremy P SteenInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Gordon H GuyattDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Tiffany DuqueCochrane Central Executive Team, Cochrane, London, UK.
Bradley C JohnstonDepartment of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.ORCID 0000-0001-8872-8626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article continues from a prior commentary on evaluating the risk of bias in randomised controlled trials addressing nutritional interventions. Having provided a synopsis of the risk of bias issues, we now address how to understand trial results, including the interpretation of best estimates of effect and the corresponding precision (eg, 95% CIs), as well as the applicability of the evidence to patients based on their unique circumstances (eg, patients' values and preferences when trading off potential desirable and undesirable health outcomes and indicators (eg, cholesterol), and the potential burden and cost of an intervention). Authors can express the estimates of effect for health outcomes and indicators in relative terms (relative risks, relative risk reductions, OR or HRs)-measures that are generally consistent across populations-and absolute terms (risk differences)-measures that are more intuitive to clinicians and patients. CIs, the range in which the true effect plausibly lies, capture the precision of estimates. To apply results to patients, clinicians should consider the extent to which the study participants were similar to their patients, the extent to which the interventions evaluated in the study are applicable to their patients and if all patient-important outcomes of potential benefit and harm were reported. Subsequently, clinicians should consider the values and preferences of their patients with respect to the balance of the benefits, harms and burdens (and possibly the costs) when making decisions about dietary interventions.

Indexed as

Critical appraisalDietary patternsEvidence based practiceMedical educationNutritional treatment

Identifiers

PMID39882290
PMCPMC11773662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.