Evidence map›Paper›PMID 32542589›Full record

ReviewCurrent obesity reports2020

Protein-Rich Diets for Weight Loss Maintenance.

Faidon Magkos

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Strategies for minimizing muscle loss during use of incretin-mimetic drugs for treatment of obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. The role of dietary protein in obesity.Reviews in endocrine & metabolic disorders · 2020
    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

1 author at 1 institution in 1 country.

Faidon MagkosDepartment of Nutrition, Exercise and Sports/Obesity Research, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark. fma@nexs.ku.dk.ORCID http://orcid.org/0000-0002-1312-7364
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHigh-protein diets in the management of obesity have been around for many years and have been rigorously tested for their ability to induce weight loss. Comparably less is known about their effects on the maintenance of lost weight. RECENT

findingsSeveral small and a few large randomized trials have evaluated the efficacy of high-protein diets (20-35% of calories from protein; 1.2-1.9 g/kg∙day) compared with normal-protein diets (10-20% of calories from protein; 0.8-1.3 g/kg∙day), consumed mostly ad libitum during weight loss maintenance, i.e., after clinically significant weight loss. Most of these studies indicate that weight regain in the short term (3-12 months) is lower by 1-2 kg with high-protein diets than low-protein diets. This effect is attenuated with longer periods of observation, likely because of decreasing dietary compliance. In line with findings during the active weight loss phase, studies assessing the efficacy of protein-rich diets to improve weight loss maintenance report beneficial effects in the short term, which nevertheless dissipate over time.

Indexed as

AdultBody Weight MaintenanceDietary ProteinsDiet, High-ProteinDiet, ReducingFemaleHumansMaleObesityRandomized Controlled Trials as TopicTreatment OutcomeWeight LossDietary ProteinsDiet compositionHigh-proteinLow-carbohydrateWeight lossWeight maintenance

Identifiers

PMID32542589
OpenAlexW3034976964

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.