Evidence map›Paper›PMID 42625626›Full record

SynthesisFrontiers in nutrition2026

Dose-structure-population interactions of protein supplementation combined with resistance training on body composition: a Bayesian network meta-analysis with dose-response modeling.

Yunxia Li, Gang Qin, Ziyu Wang, Jinghao Zhang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in 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

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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

4 authors.

Yunxia Li *School of Physical Education, Shandong Sport University, Rizhao, Shandong, China.
Gang Qin *College of Sports, Hanyang University, Seoul, Republic of Korea.
Ziyu WangCollege of Sports, Sejong University, Seoul, Republic of Korea.
Jinghao ZhangPhysical Education Department, Shandong Technology and Business University, Yantai, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Protein supplementation is frequently utilized in conjunction with resistance training for the purpose of enhancing muscle mass and strength. Nevertheless, the efficacy of different protein types, dosing thresholds, and population-specific effects is debatable. Methods: A systematic search was performed on PubMed, Web of Science, Scopus, SPORTDiscus, Cochrane CENTRAL, EMBASE databases through February 2026. RCTs comparing protein supplements (whey, casein, soy, pea, rice, milk, or blend) with placebo during supervised RT (≥6 weeks) were eligible. A Bayesian random-effects NMA was conducted using gemtc and JAGS. Dose-response curves were fitted with restricted cubic splines. The protocol was registered on PROSPERO (CRD420261340515). Results: Thirty-six RCTs (1,552 participants; 89 trial arms) formed a fully connected network of eight nodes. For LBM, whey protein ranked first (SUCRA = 0.91; MD vs. placebo: +1.24 kg, 95% CrI 0.61-1.87), followed by milk (SUCRA = 0.78; +1.18 kg) and casein (SUCRA = 0.72; +0.92 kg). The dose-response curve for whey indicated a plateau at 30-35 g/d. In older adults (≥65 years), the superiority of whey narrowed (SUCRA = 0.89 vs. 0.92 in younger adults), while casein's SUCRA increased from 0.68 in younger adults to 0.76 in older adults. However, this subgroup analysis was based on only nine trials, and the observed ranking changes may be unstable. Model convergence was satisfactory ( Conclusion: Among commonly available protein supplements, whey protein at approximately 30-35 g/d was associated with the largest gains in lean body mass when combined with RT, although this dose-response estimate is exploratory. Older adults may benefit from casein- or mixed-protein strategies as the advantage of whey is diminished in this population. Plant-based proteins showed smaller effect estimates than dairy-derived proteins, but the evidence certainty was low to very low and the credible intervals were wide, limiting firm conclusions. Systematic review registration: Identifier: CRD420261340515.

Indexed as

Bayesiandose–responselean body massnetwork meta-analysisprotein supplementationresistance trainingSUCRAwhey protein

Identifiers

PMID42625626
PMCPMC13490089

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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.