Evidence map›Paper›PMID 41366215›Full record

ArticleScientific reports2025

The additive effect of sarcopenia and osteoporosis on all-cause mortality: a cohort analysis in a U.S. population.

Yu Liu, Honglin Chen, Peng Zhang, Qi Shang, You Zhang, Weiyu Qiu, Yuzhuo Zhang, Jiahui He, Wenhua Zhao, Weicheng Qin and 4 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

14 authors.

Yu Liu *Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Honglin Chen *Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Peng Zhang *Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Qi ShangGuangzhou University of Chinese Medicine, Guangzhou, 510405, China.
You ZhangGuangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Weiyu QiuThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China.
Yuzhuo ZhangThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China.
Jiahui HeThe Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou, 510130, China.
Wenhua ZhaoThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China.
Weicheng QinGuangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Feng LinGuangzhou University of Chinese Medicine, Guangzhou, 510405, China.
Hui RenThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China. renhuispine@163.com.
Xiaobing JiangThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China. spinedrjxb@sina.com.
Gengyang ShenThe Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China. 15920198161@163.com.

Funding

Basic and Applied Basic Research Program of Guangzhou Municipal Science and Technology Bureau 2024A04J4332Guangdong Province Medical Research Fund A2022001National Natural Science Foundation of China 82205137National Natural Science Foundation of China 82274542National Natural Science Foundation of China 82274615
6 · The paper itself

Abstract

Objectives The rising incidence of sarcopenia and osteoporosis, conditions closely linked to natural aging and frequently occurring together, may have varying impacts on prognosis. The purpose of this research is to use the NHANES database to explore how sarcopenia and osteoporosis may impact all-cause mortality and to assess whether there is an additive effect of these two conditions. Methods Individuals in this research were categorized into four groups depending on whether they had sarcopenia or osteoporosis. This study employed survival curves, Cox regression analyses, and restricted cubic splines, encompassing subgroup and sensitivity analyses, to explore the relationship between sarcopenia, osteoporosis, and all-cause mortality. Results Findings from the study revealed that participants suffering from both sarcopenia and osteoporosis exhibited the lowest survival rates. After adjusting for all potential factors, individuals diagnosed with sarcopenia alone had a 45% higher chance of experiencing all-cause mortality, while those with osteoporosis alone faced a 32% increased risk of all-cause mortality. Furthermore, individuals with both sarcopenia and osteoporosis had a 282% higher risk of all-cause mortality compared to those without either condition. The relative excess risk due to interaction (RERI) between sarcopenia and osteoporosis was 4.48 [95% CI: 1.98-8.08], the attributable proportion due to interaction (AP) was 0.66 [95% CI: 0.38-0.79], and the synergy index (S) was 4.4 [95% CI: 1.9-10.2]. Conclusions This indicates that the combination of sarcopenia and osteoporosis may have an additive effect on all-cause mortality, leading to an increased likelihood of death in individuals with both ailments. This study was to emphasize the importance of prevention over treatment for osteoporosis and sarcopenia to reduce the risk of death in this population.

Indexed as

OsteoporosisSarcopeniaAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk FactorsUnited StatesAll-cause mortalityInteractionNHANESOsteoporosisOsteosarcopeniaSarcopenia

Identifiers

PMID41366215
PMCPMC12689697

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.