Evidence mapPaperPMID 42433560Full record

ArticleQuantitative imaging in medicine and surgery2026

Reference values and cut-points for trunk myopenia and myosteatosis in Chinese adults: a secondary analysis of the China Action on Spine and Hip study.

Ling Wang, Fangfang Duan, Yandong Liu, Dong Yan, Kai Li, Wenkai Wu, Yi Yuan, Quanzhong Ren, Kangkang Ma, Fengyun Zhou and 5 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

15 authors.

Ling Wang *Department of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-5129-4999
Fangfang Duan *Clinical Epidemiology Research Center, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-9395-4502
Yandong LiuDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0009-0001-2981-5479
Dong YanDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0009-0001-8106-0392
Kai LiDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0003-3847-3359
Wenkai WuDepartment of Spine Surgery, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-9691-5023
Yi YuanDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0001-8058-8534
Quanzhong RenBeijing Research Institute of Traumatology and Orthopaedics, Beijing, China.ORCID https://orcid.org/0009-0002-7726-9182
Kangkang MaDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0009-0008-7960-6705
Fengyun ZhouDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0001-9234-1635
Zitong ChengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0009-0008-9442-1805
Jian GengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-3248-1094
Renxian WangBeijing Research Institute of Traumatology and Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-3330-2895
Xiaoguang ChengDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-4596-8248
Wenshuang ZhangDepartment of Radiology, Beijing Jishuitan Hospital, Capital Medical University, National Center for Orthopaedics, Beijing, China.ORCID https://orcid.org/0000-0002-9291-2538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sarcopenia is a prevalent condition associated with adverse health outcomes, necessitating accurate assessment of skeletal muscle quantity and quality. Computed tomography (CT) is the gold-standard imaging modality for evaluating trunk skeletal muscle area (TrSMA) and density (TrSMD), with opportunistic CT offering a means to assess these metrics without additional radiation exposure. However, the clinical application of CT-based sarcopenia assessment in Chinese populations is hindered by the absence of large-scale, population-specific reference values and cut-off points, particularly for both myopenia (low muscle mass) and myosteatosis (fatty infiltration). This study aims to establish sex- and age-specific percentile reference values and diagnostic cut-off points for CT-derived TrSMA and TrSMD at the L1 and L3 vertebral levels with a large cohort of community-dwelling Chinese adults. Methods: We retrospectively analyzed abdominal CT scans from 4,016 community‑dwelling Chinese adults (21-80 years) across 12 regions. TrSMA and TrSMD at L1 and L3 were segmented using OsiriX. Sex- and age-specific percentile curves were modeled using the lambda-mu-sigma (LMS) method within the generalized additive models for location, scale, and shape (GAMLSS) framework. Estimated age-related differences in TrSMA and TrSMD from ages 25 to 75 years were calculated using LMS-derived medians. Sex‑specific cut‑off points for myopenia and myosteatosis were defined in the 21- to 40-year subgroup using the mean minus two standard deviations (M‑2SD) approach. Results: From ages 25 to 75 years, LMS-derived L1/L3-TrSMA values were lower by 0.45%/0.55% per year in men and 0.33%/0.41% per year in women; corresponding differences in L1/L3-TrSMD were 0.38%/0.35% and 0.55%/0.52% per year. More pronounced age-related decreases were observed in peri- and postmenopausal women and older men. M‑2SD cut‑offs at L1 were 96.0 cm Conclusions: We provide the first CT‑based, sex‑ and age‑specific reference values and cut‑points for trunk myopenia and myosteatosis in Chinese adults, facilitating standardized sarcopenia diagnosis and research.

Indexed as

computed tomography (CT)cut-off pointsreference valuesSarcopeniatrunk muscle

Identifiers

PMID42433560
PMCPMC13350633

What Socratic holds

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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 Socratic graph.