Evidence map›Paper›PMID 35277743›Full record

ArticleArchives of osteoporosis2022

Incidence of hip fracture among middle-aged and older Chinese from 2013 to 2015: results from a nationally representative study.

Huibin Long, Ruiqi Cao, Hongrui Zhang, Yudian Qiu, Heyong Yin, Haomian Yu, Lifeng Ma, Naicheng Diao, Fei Yu, Ai Guo

Abstract read
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In one paragraph

Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Return on investment of fracture liaison services: a systematic review and analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
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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

10 authors at 3 institutions in 1 country.

Huibin LongDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Ruiqi CaoDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Hongrui ZhangDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Yudian QiuDepartment of Orthopedics, Beijing Hospital, National Center of Gerontology, Beijing, China.
Heyong YinDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Haomian YuDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Lifeng MaDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Naicheng DiaoDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China.
Fei YuDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China. yufei87@sina.com.
Ai GuoDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, 100050, Beijing, China. guoaij@139.com.
Capital Medical University · CNBeijing Friendship Hospital · CNBeijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China is experiencing remarkable changes in people aging and migration. Therefore, the incidence and associated factors for hip fracture might differ from previous results. A nationally representative study of hip fracture enables policymakers to formulate preventive strategies and provide information on resource allocation. PURPOSE: To estimate the incidence of hip fracture, between 2013 and 2015, among the middle-aged and older Chinese population.

methodsIndividuals with hip fractures between 2013 and 2015 were identified from the China Health and Retirement Longitudinal Study. The sex-specific incidence and the associated factors of hip fracture were assessed.

resultsAmong 19,112 individuals (51.4% women; mean age 60.5 years) included in the analysis, 408 (2.13%) had a hip fracture between 2013 and 2015. Moreover, the annual incidence of hip fracture for men and women were 1065 and 1069 per 100,000, respectively. The incidence of hip fracture increased with age (p < 0.001). A history of chronic disease, being unmarried, and individuals without insurance were associated with a higher incidence of hip fracture. Interestingly, the incidence of hip fracture was higher among individuals with fewer years of education (p = 0.002). The North-East regions of China had the lowest incidence of hip fracture (1022 per 100,000) between 2013 and 2015, followed by the North (1602 per 100,000), South-Central (2055 per 100,000), East (2173 per 100,000), and South-West (2537 per 100,000) regions. Finally, the incidence was highest among participants living in the North-West region (3244 per 100,000).

conclusionBetween 2013 and 2015, the incidence of hip fracture is high among the middle-aged and older Chinese population. Furthermore, it varied significantly according to sociodemographic and geographic factors. Therefore, the support of targeted health policies and cost-effective preventive strategies are warranted in China.

Indexed as

Hip FracturesAgedAsian PeopleChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedChinese populationEpidemiologyHip fractureIncidence

Identifiers

PMID35277743
OpenAlexW4221094358

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Registered trials

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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.