Evidence map›Paper›PMID 41530839›Full record

ArticleBMC medicine2026

Polygenic risk score-guided personalized osteoporosis screening: a population-based study.

Dongxue Wang, Wen Sun, Di Liu, Huan Yi, Xiao Wang, Xiaodan Li, Jianguang Ji

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Dongxue WangFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, China.
Wen SunFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, China.
Di LiuFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, China.
Huan YiDepartment of Gynecologic Oncology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Xiao WangCenter for Primary Health Care Research, Lund University, Lund, Sweden. xiao.wang@med.lu.se.
Xiaodan LiDepartment of Nursing, Peking University People's Hospital, Beijing, China. lixiaodan@pkuph.edu.cn.
Jianguang JiFaculty of Health Sciences, University of Macau, Taipa, Macau SAR, China. jianguangji@um.edu.mo.

Funding

University of Macau (UMDF-TISF/2025/001/FHS) FHS-CC-046-001-2024
6 · The paper itself

Abstract

backgroundDespite robust evidence that genetic factors substantially influence both osteoporosis development and fracture risk, current screening guidelines fail to incorporate genetic factors into risk-assessment protocols. This study aims to determine personalized screening ages for osteoporosis based on polygenic risk score (PRS).

methodsThis prospective cohort study utilized data from 223,818 women in the UK Biobank, and only participants who were osteoporosis-free at baseline were included in the study. Participants were categorized into three subgroups (low, medium, and high groups) based on their PRS. Ten-year cumulative risk of osteoporosis, risk-adapted starting age of osteoporosis screening, and risk advancement periods (RAP) of women across different stratifications based on PRS were calculated as the main outcomes.

resultsIn the general female population at age 65 (current US Preventive Services Task Force recommended screening age), the 10-year cumulative osteoporosis risk was 5.95%. Women reached this risk threshold depending on their PRS, which was 60 years for high-risk women and 69 years for low-risk women. Compared to medium-risk participants, high-risk participants developed osteoporosis 4.99 years earlier (RAP, 4.99; 95% CI, 4.94, 6.28), whereas low-risk participants developed it 4.89 years later (RAP, - 4.89; 95% CI, - 6.54, - 4.69).

conclusionsThe integration of PRS could revolutionize osteoporosis prevention by enabling early detection in genetically high-risk women, potentially years before the current screening guidelines. Our findings advance the field of precision prevention for osteoporosis and may significantly reduce the population burden of osteoporotic fractures.

Indexed as

Mass ScreeningOsteoporosisAgedFemaleGenetic Risk ScoreHumansMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUnited KingdomOsteoporosisPolygenic risk scoreScreening ageWomen health

Identifiers

PMID41530839
PMCPMC12849559

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.