Evidence map›Paper›PMID 41268337›Full record

Trial reportClinical interventions in aging2025

Denosumab for Primary Osteoporosis and Its Impact on Sarcopenia in the Chinese Population: Insights from Clinical Evidence and RANKL Pathway Mendelian Randomization.

Shaotian Li, Shanshan Hu, Xiaoli Zheng, Xiong Ku, Jingfeng Zou, Liping Wang, Guqiao Nie, Yiting Liu, Chunhui Tian, Jiajia Ran and 6 more

Abstract readClinical Trial
In one paragraph

Trial report in Clinical interventions in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

16 authors.

Shaotian Li *Union Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0009-0002-1155-0625
Shanshan Hu *Geriatric hospital Affiliated to Wuhan University of science and technology, Wuhan, Hubei, People's Republic of China.
Xiaoli Zheng *Geriatric hospital Affiliated to Wuhan University of science and technology, Wuhan, Hubei, People's Republic of China.
Xiong Ku *Geriatric hospital Affiliated to Wuhan University of science and technology, Wuhan, Hubei, People's Republic of China.
Jingfeng ZouUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0009-0001-7305-7863
Liping WangUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Guqiao NieUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yiting LiuUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0009-0006-0620-3847
Chunhui TianUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0009-0000-6453-6996
Jiajia RanUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0009-0007-0534-0361
Xin YangUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Mi YanUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yilan YinUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yun LiuUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Jingjing WanUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Wen PengUnion Hospital TongJi Medical College HuaZhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the rapid aging of China's population, osteoporosis and sarcopenia have become major public health challenges. Denosumab, a first-line therapy for osteoporosis, may also improve muscle health, a possibility warranting further investigation. Objective: This study evaluated the efficacy of denosumab in treating primary osteoporosis in the Chinese population and explored its potential effects on sarcopenia. A Mendelian randomization (MR) analysis was additionally performed to investigate the causal role of the RANKL pathway in sarcopenia. Methods: This study included two components. In the clinical study, 45 patients with primary osteoporosis received denosumab, of whom 40 completed a 6-month follow-up and 15 completed a 1-year follow-up. Outcomes included bone turnover markers, bone mineral density, muscle strength, and physical performance measures. In the genetic study, two-sample MR was conducted using genome-wide association study (GWAS) summary statistics to assess the causal association between RANKL gene variants and sarcopenia-related traits, including appendicular lean mass and grip strength. Results: Denosumab significantly reduced bone turnover markers and improved muscle function after 6 months, with further gains in bone mineral density and muscle strength observed at 1 year (all P < 0.05). Muscle mass showed upward but non-significant trends. MR analysis revealed a significant negative association between RANKL expression and both appendicular lean mass and grip strength, with no evidence of heterogeneity or pleiotropy. Conclusion: Denosumab effectively treats osteoporosis and improves muscle function in Chinese patients. Genetic evidence supports a causal role of the RANKL pathway in sarcopenia, indicating that RANKL overexpression may contribute to its development. By integrating clinical and genetic evidence, our findings suggest that denosumab may represent a promising therapeutic option for patients with concurrent osteoporosis and sarcopenia.

Indexed as

Bone Density Conservation AgentsDenosumabOsteoporosisRANK LigandSarcopeniaAgedBone DensityChinaEast Asian PeopleFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedMuscle StrengthBone Density Conservation AgentsDenosumabRANK LigandTNFSF11 protein, humandenosumabMendelian randomizationosteoporosisRANKL genesarcopenia

Identifiers

PMID41268337
PMCPMC12628783

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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.