Evidence map›Paper›PMID 40108254›Full record

ArticleScientific reports2025

Predictive efficacy of different diagnostic criteria for sarcopenia in osteoporosis and fractures.

Zhenrun Zhan, Yongze Zhang, Jiayong Wu, Jiebin Lin, Sunjie Yan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Review
  5. Prevalence and risk factors of osteoporosis and fragility fractures in aging Hakka women in Taiwan.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  6. Review
  7. Article
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

5 authors.

Zhenrun Zhan *Department of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Yongze Zhang *Department of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jiayong WuDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jiebin LinDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Sunjie YanDepartment of Endocrinology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. fjyansunjie@163.com.

Funding

Scientific and Technological Major Special Project of Fujian Provincial Health Commission 2021ZD01004
6 · The paper itself

Abstract

This study aims to compare the predictive efficacy of different diagnostic criteria for sarcopenia in forecasting the occurrence of osteoporosis (OP) and fractures. Utilizing data from the Global Health Data Exchange, the burden of musculoskeletal disorders (MSDs) was assessed through indicators including incidence, prevalence, and disability-adjusted life years. Trends in MSD burden were analyzed using the Joinpoint regression model to calculate the average annual percentage change. A retrospective cohort study was conducted on clinical data from 8180 patients who received care at the Endocrinology Department of the First Affiliated Hospital of Fujian Medical University between April 2008 and June 2024. Patients were categorized into four groups based on sarcopenia diagnostic criteria established by the European Working Group on Sarcopenia in Older People (EWGSOP), the International Working Group on Sarcopenia (IWGS), the Asian Working Group on Sarcopenia 2019 (AWGS 2019), and the Foundation for the National Institutes of Health (FNIH) Sarcopenia Project. We compared demographic data, chronic disease history, body composition, bone mineral density, FRAX fracture risk, and the incidence of osteoporosis to evaluate the predictive validity of each diagnostic criterion for osteoporosis and fracture risk in patients with sarcopenia. (1) The prevalence of sarcopenia, as defined by the IWGS, FNIH, EWGSOP, and AWGS 2019 diagnostic criteria, was 39.2%, 28.3%, 55.0%, and 30.1%, respectively. (2) After adjusting for age, gender, and body mass index (BMI), a significant association between osteoporosis and sarcopenia was observed across all four diagnostic criteria (all P < 0.05). Furthermore, sarcopenia, as determined by the EWGSOP and AWGS 2019 criteria, was associated with a moderate-to-high risk of major osteoporotic fractures and hip fractures within the next 10 years (P < 0.05). (3) Spearman's correlation coefficients for sarcopenia with Procollagen type I N-terminal propeptide (PINP), appendicular lean mass (ALM), ALM/height squared (Ht

Indexed as

Fractures, BoneOsteoporosisOsteoporotic FracturesSarcopeniaAgedAged, 80 and overBone DensityFemaleHumansIncidenceMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsDiagnostic criteriaGlobal burden of diseaseMusculoskeletal disordersOsteoporosisSarcopenia

Identifiers

PMID40108254
PMCPMC11923086

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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.