Evidence map›Paper›PMID 39439568›Full record

ArticleFrontiers in endocrinology2024

Association between sarcopenia and osteoporosis: the cross-sectional study from NHANES 1999-2020 and a bi-directions Mendelian randomization study.

Yuan Zhu, Qingyue Zeng, Yi Shi, Yu Qin, Simin Liu, Yuhao Yang, Yu Qiu, Mengjia Pan, Zhenmei An, Shuangqing Li

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Crosstalk between osteoporosis and fat-infiltrated psoas at the upper lumbar levels.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  4. Article
  5. Article
  6. 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

10 authors.

Yuan Zhu *General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qingyue Zeng *General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yi ShiGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yu QinGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Simin LiuGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yuhao YangGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yu QiuGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mengjia PanGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhenmei AnDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shuangqing LiGeneral Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis (OP) and sarcopenia are prevalent musculoskeletal conditions among the elderly. Nevertheless, the causal relationship between sarcopenia and OP remains a subject of controversy and uncertainty. In this study, we employed cross-sectional analysis and Mendelian randomization (MR) to investigate the intricate relationship between sarcopenia and OP. Methods: The cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999-2020, which involved in 116,876 participants. It assessed the correlation between sarcopenia, osteoporosis (OP), and bone mineral density (BMD) using Chi-square tests, T-tests, and a multiple logistic regression model. Additionally, we conducted Mendelian randomization (MR) analysis to investigate the causal effects of sarcopenia-related characteristics (ALM) on OP. We employed IVW, sensitivity analysis, heterogeneity testing, and other methods for MR. The ALM data was sourced from the UK Biobank (n=450,243), while the aggregated data on OP was obtained from GWAS statistics (n=53,236). Results: In this cross-sectional analysis, we observed that in the multivariate logistic regression model, without adjusting for any variables, OP emerged as a risk factor for sarcopenia [OR 95% CI = 1.90 (1.13-3.18), P = 0.02]. Following adjustments for gender, age, BMI, and biochemical variables, OP retained its status as a risk factor for sarcopenia [OR 95% CI = 3.54 (1.91-6.54), P < 0.001]. Moreover, after accounting for all variables, OP emerged as an independent risk factor for sarcopenia [OR 95% CI = 4.57 (1.47-14.22), P = 0.01].In the MR analysis, we uncovered that femoral neck BMD (FN BMD), lumbar spine BMD (LS BMD), and forearm bone mineral density (FA BMD) exerted a direct causal influence on ALM [FA BMD: OR 95% CI = 1.028 (1.008, 1.049), p = 0.006; FN BMD: OR (95% CI) = 1.131 (1.092, 1.170), p = 3.18E-12; LS BMD: OR (95% CI) = 1.080 (1.062, 1.098), p = 2.86E-19]. Conclusion: Our study has revealed a positive correlation between OP and the prevalence of sarcopenia. It suggests a potentially robust causal relationship between OP and sarcopenia. Notably, OP appears to be associated with a higher likelihood of losing ALM, and a significant loss of ALM may contribute to a decline in LS BMD.

Indexed as

Bone DensityMendelian Randomization AnalysisNutrition SurveysOsteoporosisSarcopeniaAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedALMMRNHANESosteoporosissarcopenia

Identifiers

PMID39439568
PMCPMC11493612

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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.