Evidence mapPaperPMID 40316925Full record

ArticleBMC public health2025

Top comorbidities in osteoporotic fracture patients in a northeast population in China.

Linghua Yang, Ziyu Dong, Baoming Yuan, Jie Lei, Juan Zhang, Xiaohua Zhang, Xinyan Shi, Ann M Vuong, Shuman Yang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Multimorbidity patterns among fragility fracture patients aged 50 + years in China and the US.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  2. Review
  3. 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

9 authors.

Linghua Yang *Department of Endocrinology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
Ziyu Dong *Department of Endocrinology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
Baoming YuanDepartment of Orthopaedics, The Second Hospital of Jilin University, Changchun, Jilin, China.
Jie LeiMagnetic Resonance Department, The FAW General Hospital of Jilin Province, Changchun, Jilin, China.
Juan ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xiaohua ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Xinyan ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
Ann M VuongDepartment of Epidemiology and Biostatistics, School of Public Health, University of Nevada, Las Vegas, US.
Shuman YangDepartment of Endocrinology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China. shumanyang@jlu.edu.cn.

Funding

Jilin Scientific and Technological Development Program 20210101197JC
6 · The paper itself

Abstract

backgroundOsteoporotic fractures frequently occur in conjunction with various diseases, and the comorbidity of fractures is a significant contributor to their high disability and mortality rates. This study aimed to examine the pattern of comorbidity in fracture patients and non-fracture individuals.

methodsUsing data from community- and hospital-based populations in Jilin, China, we identified osteoporotic fracture patients over 40 years of age. We matched each fracture patient with two non-fracture individuals based on age (± 3 years) and sex. Major comorbidities including hypertension, type 2 diabetes, hyperlipidemia, obesity, coronary heart disease (CHD), stroke, hyperthyroidism, hyperparathyroidism, osteoporosis, rheumatoid arthritis, respiratory diseases, gastrointestinal diseases, and breast cancer, were ascrertained from patients' laboratory test results and self-reported data.

resultsWe identified 51 hospital-based fracture patients, 181 community-based fracture patients and 362 matched non-fracture individuals. The mean age for both overall fracture patients and non-fracture individuals was 67.8 years. Females accounted for 72.8% of overall fracture patients and 71.8% of non-fracture individuals. The most common comorbidity was hypertension for overall fracture patients (45.3%), hospital-based fracture patients (39.2%), and non-fracture individuals (56.4%), whereas hyperlipidemia was the most frequent condition for community-based fracture patients (63.6%). The top binary comorbidity combination pattern for community-based fracture patients (30.4%) and non-fracture individuals (29.6%) was hyperlipidemia & hypertension, while for hospital-based (15.7%) and overall (15.1%) fracture patients it was hypertension & type 2 diabetes. The average degree of comorbidity network for overall fracture patients (7.0) was higher than that for non-fracture individuals (5.4).

conclusionsThe most common comorbidities were hyperlipidemia and hypertension among fracture patients. As compared to non-fracture individuals, fracture patients exhibited a more complex comorbidity network. These findings help us better target the management of comorbidities in patients with osteoporotic fractures and reduce the burden associated with fractures.

trial registrationNot applicable.

Indexed as

ComorbidityOsteoporotic FracturesAdultAgedAged, 80 and overChinaFemaleHumansHypertensionMaleMiddle AgedChronic conditionsComorbidityComorbidity networkOsteoporosisOsteoporotic fracture

Identifiers

PMID40316925
PMCPMC12046695

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.