Sarcopenia as a Stronger Predictor for All-Cause Mortality Than Osteoporosis in a Medical Center in Central Taiwan

These findings suggest that sarcopenia may be a more important predictor of mortality than osteoporosis in patients, highlighting the need for muscle health assessment.

Authors

Institutions

Publication Details

Journal
Clinical Interventions in Aging
Published
2025-10-01
DOI
https://doi.org/10.2147/cia.s548332
Citations
2
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
2.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sarcopenia as a Stronger Predictor for All-Cause Mortality Than Osteoporosis in a Medical Center in Central Taiwan

Hong-Mo Shih, Shih-Ming Huang, Shuo‐Chun Weng, Hsin‐Ti Huang et al.
2 citations
Clinical Interventions in Aging
Nutrition and Health in Aging
2.33
article

Sarcopenia as a Stronger Predictor for All-Cause Mortality Than Osteoporosis in a Medical Center in Central Taiwan

Hong-Mo Shih, Shih-Ming Huang, Shuo‐Chun Weng, Hsin‐Ti Huang, Chiann‐Yi Hsu, Pei‐Iun Hsieh
article en
2 citations

Abstract

These findings suggest that sarcopenia may be a more important predictor of mortality than osteoporosis in patients, highlighting the need for muscle health assessment.

Clinical Interventions in AgingVol. Volume 20
National Yang Ming Chiao Tung University (TW), National Chung Hsing University (TW), Taichung Veterans General Hospital (TW), Chung Shan Medical University (TW)
Taichung Veterans General Hospital
Openalex Percentile: Top 10%
Nutrition and Health in Aging
2.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.