Evidence map›Paper›PMID 41458554›Full record

ReviewFrontiers in endocrinology2025

Osteosarcopenia in metabolic dysfunction-associated steatotic liver disease: from mechanisms to management.

Aili Fan, Jie Zhang, Qing Ye

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Genetically Predicted Muscle Mass and Function in Relation to Deep Vein Thrombosis: A Two-step Mendelian Randomization Study Highlighting the Mediating Role of BMI.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

3 authors.

Aili Fan *Department of Gastroenterology/Hepatology, Tianjin University Central Hospital/The Third Central Hospital Affiliated with Nankai University, Tianjin, China.
Jie Zhang *Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
Qing YeTianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Institute of Hepatobiliary Disease, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcopenia, the coexistence of osteoporosis and sarcopenia, is an emerging and underrecognized complication in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). While muscle and bone loss have been individually observed in MASLD, their combined impact remains poorly addressed in clinical practice. This review outlines the epidemiology, pathophysiological mechanisms, clinical relevance, and current strategies for diagnosing and managing osteosarcopenia in MASLD. Shared pathogenic pathways, including insulin resistance, chronic inflammation, hormonal imbalance, and gut dysbiosis, create a vicious cycle contributing to musculoskeletal degradation and liver disease progression. We highlight the need for proactive screening of osteosarcopenia, and using standardized assessment tools. A multidimensional therapeutic approach, encompassing nutrition, exercise, pharmacotherapy, and emerging metabolic and gut-targeted interventions, may improve not only musculoskeletal health but also hepatic and systemic outcomes. Future studies are warranted to improve long-term prognosis for both osteosarcopenia and MASLD.

Indexed as

Fatty LiverOsteoporosisSarcopeniaHumansmanagementmechanismmetabolic dysfunction – associated steatotic liver diseaseosteoporosisosteosarcopeniasarcopenia

Identifiers

PMID41458554
PMCPMC12738354

What OpenQuestion holds

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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.