Evidence map›Paper›PMID 41049371›Full record

ReviewFrontiers in nutrition2025

Efficacy of collagen peptide supplementation on bone and muscle health: a meta-analysis.

Chongxiao Sun, Ao Yang, Fei Teng, Yayi Xia

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2025. 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. Article
  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

4 authors.

Chongxiao SunDepartment of Orthopaedics, Orthopaedics Clinical Medicine Research Center of Gansu Province, Lanzhou, China.
Ao YangDepartment of Orthopaedics, Orthopaedics Clinical Medicine Research Center of Gansu Province, Lanzhou, China.
Fei TengDepartment of Orthopaedics, Orthopaedics Clinical Medicine Research Center of Gansu Province, Lanzhou, China.
Yayi XiaDepartment of Orthopaedics, Orthopaedics Clinical Medicine Research Center of Gansu Province, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Collagen peptide supplements, especially when combined with vitamin D as well as calcium, are showing promise as a means of enhancing the condition of muscle and bone. This meta-analysis examined how collagen peptide intake affected muscular performance, bone turnover metrics, probability of fracture, and bone mineral density (BMD). Objective: The primary goal of this meta-analysis was to investigate the influence of collagen peptide treatment on musculoskeletal indices, bone turnover indicators, and BMD. The interaction of collagen peptides with vitamin D and calcium was of special significance. Methods: Randomized trials evaluating collagen peptide intake, either independently or in combination with calcium and vitamin D, were systematically reviewed and meta-analyzed. In order to synthesize effect sizes among trials, standardized mean differences (SMDs) using 95% confidence intervals were computed. The Cochran's Q analysis and the I2 measure were employed to determine variability. Results: Studies revealed that supplementing with collagen peptide significantly increased BMD in the femoral neck and spine. Nonetheless, there was a significant amount of variation in BMD results across trials (I Conclusion: Collagen peptide supplementation, particularly when synergized with calcium and vitamin D, is associated with continuous improvements in BMD, bone turnover markers, and muscle function. All these variables are important for fracture prevention. Owing to the information collagen peptides could be used as an adjunct therapy for managing osteoporosis.

Indexed as

bone mineral densitybone turnover markerscalciumcollagen peptidesmuscle strengthosteoporosisprevention of fracturevitamin D

Identifiers

PMID41049371
PMCPMC12488437

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Registered trials

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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.