Evidence map›Paper›PMID 37771125›Full record

ArticleOrthopaedic surgery2023

Assessing the Casual Association between Sex Hormone Levels and Fracture Risk: A Two-Sample Mendelian Randomization Study.

Kaibo Sun, Yue Ming, Jiawen Xu, Yuangang Wu, Yi Zeng, Limin Wu, Mingyang Li, Bin Shen

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic surgery, 2023. 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
2.2field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. The prospective association between high-density lipoprotein (HDL) cholesterol and risk of incident fractures in the general population.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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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

8 authors at 1 institution in 1 country.

Kaibo SunDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Yue MingLaboratory of Molecular Oncology, Frontiers Science Center for Disease-related Molecular Networks, West China Hospital, Sichuan University, Chengdu, China.
Jiawen XuDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Yuangang WuDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Yi ZengDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-1650-8020
Limin WuDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Mingyang LiDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Bin ShenDepartment of Orthopaedics Surgery, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-9632-7221
Sichuan University · CN

Funding

China Postdoctoral Science Foundation 2021M702351Department of Science and Technology of Sichuan Province 2023YFS0096Medical Science and Technology Project of Health Commission of Sichuan Provincial 21PJ040National Natural Science Foundation of China 81974347
6 · The paper itself

Abstract

objectivePrior observational studies have reported that levels of sex hormones constitute a risk factor for the fracture. The aim of this study was to ascertain whether there is a causal relationship between the levels of sex hormones and the risk of fracture through Mendelian randomization (MR).

methodsSingle-nucleotide polymorphisms (SNPs) associated with two indicators of sex hormone levels, circulating sex hormone-binding globulin (SHBG) and bioavailable testosterone levels, as exposures were selected from a large genome-wide association study (GWAS) from UK Biobank. The summary statistics for 11 different types of fracture as outcomes from the FinnGen consortium. This study employed the two-sample MR approach. For the main analysis, the inverse-variance-weighted (IVW) method was utilized. To assess the heterogeneity of MR results, the IVW method and MR-Egger method were utilized. To evaluate potential pleiotropy, MR-Egger regression was conducted. Additionally, a leave-one-SNP-out test was performed to assess the robustness of MR results to the exclusion of any individual SNP.

resultsThe MR analyses demonstrated a conspicuous impact of SHBG on the risk of pathological fracture with osteoporosis (OP). We found that an increase of one standard deviation (SD) in SHBG correspondingly increased the risk of pathological fracture with OP [odds ratio (OR) 2.42, 95% confidence interval (CI), 1.52-3.85; p = 1.93 × 10

conclusionsOur study confirms that individuals experiencing elevated SHBG concentrations showed a major causal effect on pathological fracture with OP. High bioavailable testosterone levels play an important role in preventing the fractures of foot and forearm. Although increasing bioavailable testosterone and decreasing SHBG levels had no casual effect on most fractures in the general population, they are likely to have the most clinically relevant effect on certain fracture risk reduction.

Indexed as

Fractures, BoneFractures, SpontaneousOsteoporosisGenome-Wide Association StudyGonadal Steroid HormonesHumansMendelian Randomization AnalysisTestosteroneGonadal Steroid HormonesTestosteroneFractureMendelian RandomizationSex Hormone-Binding GlobulinTestosterone

Identifiers

PMID37771125
PMCPMC10694015
OpenAlexW4387157168

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.