Evidence map›Paper›PMID 37133292›Full record

Trial reportJournal of the International Society of Sports Nutrition2023

Dietary collagen peptides alleviate exercise-induced muscle soreness in healthy middle-aged males: a randomized double-blinded crossover clinical trial.

Kumiko Kuwaba, Masashi Kusubata, Yuki Taga, Hiroshi Igarashi, Koichi Nakazato, Kazunori Mizuno

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the International Society of Sports Nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Kumiko KuwabaNippi Inc, Nippi Research Institute of Biomatrix, Toride, Ibaraki, Japan.ORCID 0000-0001-6332-4035
Masashi KusubataNippi Inc, Nippi Research Institute of Biomatrix, Toride, Ibaraki, Japan.ORCID 0000-0003-1708-2594
Yuki TagaNippi Inc, Nippi Research Institute of Biomatrix, Toride, Ibaraki, Japan.ORCID 0000-0001-9100-758X
Hiroshi IgarashiNippi Inc, Gelatin Division, Tokyo, Japan.
Koichi NakazatoNippon Sport Science University, Research Institute for Sport Science, Tokyo, Japan.ORCID 0000-0002-2479-5771
Kazunori MizunoNippi Inc, Nippi Research Institute of Biomatrix, Toride, Ibaraki, Japan.ORCID 0000-0003-3354-6264
Japan Institute of Leather Research · JPNippon Sport Science University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-exercise muscle soreness and fatigue can negatively affect exercise performance. Thus, it is desirable to attenuate muscle soreness and fatigue and promote recovery even for daily exercise habits aimed at maintaining or improving health.

methodsThis study investigated the effects of dietary collagen peptides (CPs) on post-exercise physical condition and fitness in healthy middle-aged adults unfamiliar with exercise. Middle-aged males (

resultsThe analysis set was the per-protocol set (

conclusionsThese results showed that dietary CPs alleviated muscle soreness and fatigue and affected muscle strength after exercise load in healthy middle-aged males.

Indexed as

ExerciseMyalgiaAdultCross-Over StudiesDietDietary SupplementsFatigueHumansMaleMiddle AgedMuscle, SkeletalCollagen peptidesfatiguemiddle-agedmuscle sorenessmuscle strength

Identifiers

PMID37133292
PMCPMC10158542
OpenAlexW4367833871

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.