Evidence map›Paper›PMID 37501170›Full record

SynthesisJournal of orthopaedic surgery and research2023

The prevalence of osteoporotic fractures in the elderly in China: a systematic review and meta-analysis.

Shilong Meng, Minghao Tong, Yang Yu, Yanguang Cao, Binbin Tang, Xiaolin Shi, Kang Liu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
6.6field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Prevalence and Associated Risk Factors of Osteoporosis in Community-Dwelling Older Adults in China: A Cross-Sectional Study of 2533 Participants.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  14. Review
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  18. Current applications of deep learning in vertebral fracture diagnosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Review
  19. Article
  20. Mechanosignaling in Osteoporosis: When Cells Feel the Force.International journal of molecular sciences · 2025
    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 at 1 institution in 1 country.

Shilong MengThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Minghao TongThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Yang YuThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
Yanguang CaoOrthopedic Traumatology II, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Binbin TangOrthopedic Traumatology II, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Xiaolin ShiOrthopedic Traumatology II, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Kang LiuThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China. Liukang1982@163.com.
Zhejiang Chinese Medical University · CN

Funding

Department of Education of Zhejiang Province Y202248737National Natural Science Foundation of China 82274272Natural Science Foundation of Zhejiang Province LY19H290004Zhejiang Traditional Chinese Medicine Administration 2022ZA085Zhejiang Traditional Chinese Medicine Administration 2022ZZ020
6 · The paper itself

Abstract

backgroundPrevalence information is the first step in developing preventive procedures or health services. This study was conducted to systematically evaluate the epidemiology of osteoporotic fractures in Chinese elderly aged ≥ 60 years and to provide evidence-based evidence for the prevention and treatment of osteoporotic fractures.

methodsWe identified relevant studies by searching the literature published in PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wanfang Data, and VIP databases from the establishment of the database until August 2022. We used a random-effects model to obtain prevalence estimates and identified sources of heterogeneity and comparisons of prevalence among different groups through subgroup analysis and sensitivity analysis.

resultsA total of 29 articles were included in this study, and the prevalence of osteoporosis fractures in elderly Chinese was high (18.9%). The prevalence has increased significantly over the past decade (from 13.2% in 2000-2010 to 22.7% in 2012-2022). The prevalence of osteoporosis is higher in women than in men (18.5% vs 14.3%) and increases with age. The northern region was higher than the southern region (20.3% vs 18.9%), and the spine, hip, and distal forearm were the most common sites of fracture.

conclusionThe prevalence of osteoporotic fractures in the Chinese elderly is 18.9%, and timely prevention and treatment are necessary.

Indexed as

OsteoporosisOsteoporotic FracturesAgedChinaFemaleHumansMalePrevalenceSpineChineseElderlyMeta-analysisOsteoporotic fracturesPrevalence

Identifiers

PMID37501170
PMCPMC10373275
OpenAlexW4385296844

What OpenQuestion 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 OpenQuestion graph.