Evidence map›Paper›PMID 38025753›Full record

ArticlePeerJ2023

Interaction effects of significant risk factors on low bone mineral density in ankylosing spondylitis.

Wenting Sun, Wenjun Mu, Caroline Jefferies, Thomas Learch, Mariko Ishimori, Juan Wu, Zeran Yan, Nan Zhang, Qingwen Tao, Weiping Kong and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2023. 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
0.7field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

12 authors at 5 institutions in 2 countries.

Wenting Sun *China Academy of Chinese Medical Sciences, Beijing, China.
Wenjun Mu *Beijing University of Chinese Medicine, Beijing, China.
Caroline JefferiesDivision of Rheumatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States of America.
Thomas LearchDepartment of Radiology, Cedars-Sinai Medical Center, Los Angeles, United States of America.
Mariko IshimoriDivision of Rheumatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, United States of America.ORCID 0000-0002-0421-8854
Juan WuBeijing University of Chinese Medicine, Beijing, China.
Zeran YanBeijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China.
Nan ZhangBeijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China.
Qingwen TaoBeijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China.
Weiping KongBeijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China.
Xiaoping YanBeijing Key Lab for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Beijing, China.
Michael H WeismanStanford University, Stanford, California, United States of America.
China-Japan Friendship Hospital · CNCedars-Sinai Medical Center · USBeijing University of Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To analyze individually and interactively critical risk factors, which are closely related to low bone mineral density (BMD) in patient with ankylosing spondylitis (AS). Methods: A total of 249 AS patients who visited China-Japan Friendship Hospital were included in this training set. Patients with questionnaire data, blood samples, X-rays, and BMD were collected. Logistic regression analysis was employed to identify key risk factors for low BMD in different sites, and predictive accuracy was improved by incorporating the selected significant risk factors into the baseline model, which was then validated using a validation set. The interaction between risk factors was analyzed, and predictive nomograms for low BMD in different sites were established. Results: There were 113 patients with normal BMD, and 136 patients with low BMD. AS patients with hip involvement are more likely to have low BMD in the total hip, whereas those without hip involvement are more prone to low BMD in the lumbar spine. Chest expansion, mSASSS, radiographic average grade of the sacroiliac joint, and hip involvement were significantly associated with low BMD of the femoral neck and total hip. Syndesmophytes, hip involvement and higher radiographic average grade of the sacroiliac joint increases the risk of low BMD of the femoral neck and total hip in an additive manner. Finally, a prediction model was constructed to predict the risk of low BMD in total hip and femoral neck. Conclusions: This study identified hip involvement was strongly associated with low BMD of the total hip in AS patients. Furthermore, the risk of low BMD of the femoral neck and total hip was found to increase in an additive manner with the presence of syndesmophytes, hip involvement, and severe sacroiliitis. This finding may help rheumatologists to identify AS patients who are at a high risk of developing low BMD and prompt early intervention to prevent fractures.

Indexed as

Bone Diseases, MetabolicOsteoporosisSpondylitis, AnkylosingBone DensityHumansRisk FactorsAnkylosing spondylitisFemoral neckHip involvementInteraction effectLow bone mineral densityPrediction modelRisk factorSacroiliitisSyndesmophytesTotal hip

Identifiers

PMID38025753
PMCPMC10676083
OpenAlexW4388906757

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.