Evidence map›Paper›PMID 28560474›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2017

Vertebral fracture in postmenopausal Chinese women: a population-based study.

L Cui, L Chen, W Xia, Y Jiang, L Cui, W Huang, W Wang, X Wang, Y Pei, X Zheng and 10 more

Abstract read
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Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 10% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  4. Trial
  5. Machine learning-based screening model for osteoporosis in Chinese postmenopausal women: a nationwide study with prospective fracture validation.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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  9. CT- and MRI-based endplate osteoporosis status assessment for predicting adjacent vertebral fractures after thoracolumbar percutaneous kyphoplasty: a matched comparison study.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
  10. Association between obesity and the prevalence of fractures: a population-based cross-sectional study in China.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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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

20 authors at 9 institutions in 2 countries.

L CuiDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
L ChenDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
W XiaDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China. xiaweibo@medmail.com.cn.
Y JiangDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
L CuiDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
W HuangDepartment of Endocrinology, BeiJing HaiDian Hospital, Beijing, 100080, China.
W WangDepartment of Endocrinology, Peking University Shougang Hospital, Beijing, 100144, China.
X WangDepartment of Cadre Unit, General Hospital of the Second Artillery Force, Beijing, 100088, China.
Y PeiDepartment of Geriatric Endocrinology, Chinese PLA General Hospital, Beijing, 100853, China.
X ZhengDepartment of Endocrinology, China Rehabilitation Research Center, Beijing, 100068, China.
Q WangDepartment of Endocrinology, Beijing Liangxiang Hospital, Beijing, 102401, China.
Z NingDepartment of Endocrinology, Beijing Chaoyang Hospital, Beijing, 100020, China.
M LiDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
O WangDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
X XingDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
Q LinDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
W YuDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
X WengDepartment of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
L XuDepartment of Gynaecology and Obstetrics, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, 100730, China.
S R CummingsSan Francisco Coordinating Center, CPMC Research Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, USA.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNBeijing Chaoyang Emergency Medical Center · CNBeijing Haidian Hospital · CNChina Rehabilitation Research Center · CNChinese PLA General Hospital · CNSecond Artillery General Hospital of Chinese People's Liberation Army · CNTang Hospital · CNUniversity of California, San Francisco · US

Funding

National Key Program of Clinical Science WBYZ2011-873National Key Technology R and D Program of CHINA 2006BAI03B03National Natural Science Foundation of China (CN) No.81070687 and 81170805National public welfare research program of CHINA 2005DIB1J085Natural Science Foundation of Beijing Municipality No. 7121012
6 · The paper itself

Abstract

In a random sample of postmenopausal Chinese women, the prevalence of radiographic vertebral fractures increased from 13% between ages 50 and 59 to over 50% after age 80 years. A model with seven clinical risk factors predicted the probability of vertebral fractures as well with as without BMD and better than a model with only three risk factors. More than half an hour of outdoor activity per day might correlate with lower risk of vertebral fracture in this population.

introductionWe aimed to describe the prevalence and develop a model for prediction of radiographic vertebral fractures in a large random sample of postmenopausal Chinese women.

methodsWe enrolled 1760 women from an age-stratified random sample of postmenopausal women in Beijing, China. The presence of vertebral fracture was assessed by semi-quantitative grading of lateral thoracolumbar radiographs, risk factors by interview, bone mineral density (BMD) of the proximal femur and lumbar spine by dual x-ray absorptiometry (DXA), and markers of bone turnover from a fasting blood sample. Associations of these factors were analyzed in logistic models and discrimination by areas of receiver operating characteristics curves (AUC).

resultsThe prevalence of vertebral fracture, ranged from 13.4% ages 50 to 59 years old to 58.1% at age 80 years or older. Older age, a history of non-vertebral fracture, lower femoral neck BMD T-score, body mass index (BMI), height loss, housework, and less than half an hour of outdoor activity were significantly associated with increased probability of having a vertebral fracture. A model with those seven factors had a similar AUC with or without BMD and performed better than a simple model with three factors.

conclusionThis study is from a true random sample of postmenopausal women in urban China with high response rate. The prevalence of vertebral fractures in postmenopausal women in Beijing increases from 13% under age 60 to over 50% by age 80 years. A model with seven clinical risk factors with or without BMD is better than simple models and may guide the use of spine x-rays to identify women with vertebral fractures. More than half an hour of outdoor activity might correlate with lower risk of vertebral fracture in this population.

Indexed as

Absorptiometry, PhotonAgedAged, 80 and overBone DensityChinaExerciseFemaleFemur NeckHumansLumbar VertebraeMiddle AgedOsteoporosis, PostmenopausalOsteoporotic FracturesPrevalenceRisk FactorsROC CurveEpidemiologyOsteoporosisPopulation-based studyPredictive modelsRisk factorVertebral fracture

Identifiers

PMID28560474
OpenAlexW2619375501

What OpenQuestion holds

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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.