Evidence map›Paper›PMID 32309373›Full record

ArticleAnnals of translational medicine2020

Prevalence of bone mineral density loss and potential risk factors for osteopenia and osteoporosis in rheumatic patients in China: logistic regression and random forest analysis.

Xi Zhang, Zonglin Dai, Eric H Y Lau, Chunping Cui, He Lin, Jun Qi, Weifeng Ni, Like Zhao, Qing Lv, Jieruo Gu and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Emerging applications of feature selection in osteoporosis research: from biomarker discovery to clinical decision support.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
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  7. Rosavin suppresses osteoclastogenesisAnnals of translational medicine · 2021
    Article
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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

11 authors at 6 institutions in 2 countries.

Xi ZhangDivision of Rheumatology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Zonglin DaiDivision of Epidemiology and Biostatistics, School of Public Health, University of Hong Kong, Hong Kong, China.
Eric H Y LauDivision of Epidemiology and Biostatistics, School of Public Health, University of Hong Kong, Hong Kong, China.
Chunping CuiDivision of Neurology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
He LinDivision of Rheumatology, Fujian Provincial Hospital, Fuzhou 350000, China.
Jun QiDivision of Rheumatology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Weifeng NiDivision of Rheumatology, Second Affiliated Hospital of Shantou University Medical College, Shantou 515000, China.
Like ZhaoDivision of Rheumatology, Beijing Hospital, Beijing 100000, China.
Qing LvDivision of Rheumatology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Jieruo GuDivision of Rheumatology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Zhiming LinDivision of Rheumatology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CNUniversity of Hong Kong · HKBeijing Hospital · CNFujian Provincial Hospital · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to explore the prevalence of change in bone mineral density (BMD) and the potential risk factors for osteopenia and osteoporosis in rheumatic patients.

methodsAn analytical cross-sectional study design was carried out. For this study, one thousand and seven rheumatic patients were recruited and further accepted for data collection and blood and BMD tests. The potential risk factors for osteopenia and osteoporosis in rheumatic patients were further analyzed by using both logistic regression analysis and random forest (RF) analysis.

results41.1% of the male patients aged 50 years or above and 50.8% of postmenopausal patients were osteoporotic in their lumbar spine. Among these patients, the prevalence of osteoporosis in the femoral neck and total hip was 19.4% and 8.9% in men, and 27.6% and 16.5% in women respectively, while more than half of the rheumatic patients had osteopenia in the femoral neck and total hip. For men younger than 50 years and premenopausal women, BMD were lower than the health population in the femoral neck (16.5% and 18.3% respectively) and the total hip (17.4% and 10.4% respectively). Older age, body mass index (BMI) <18.5 kg/m

conclusionsMore interventions should be given to osteopenia patients because of the higher prevalence when compared with osteoporosis patients. Older age, BMI <18.5 kg/m

Indexed as

Bone mineral densitylogistic regressionosteopeniaosteoporosisrandom forest analysisrheumatic diseases

Identifiers

PMID32309373
PMCPMC7154412
OpenAlexW3005990638

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.