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Record W2580731094 · doi:10.1371/journal.pone.0169468

Corticosteroid Is Associated with Both Hip Fracture and Fracture-Unrelated Arthropathy

2017· article· en· W2580731094 on OpenAlexfundno aff
Feng‐Chen Kao, Yao‐Chun Hsu, Chien‐Fu Lin, Ying-Ying Lo, Yuan-Kun Tu

Bibliographic record

VenuePLoS ONE · 2017
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsnot available
FundersE-Da HospitalNational Health Research InstitutesCanadian Foundation for Dietetic Research
KeywordsMedicineArthropathyFracture (geology)Hip fractureInternal medicineOsteoporosisOsteoarthritisBiologyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We aimed to investigate whether and how corticosteroid use was associated with serious hip arthropathy. METHODS AND MATERIALS: This population-based cohort study analyzed the Taiwan National Health Insurance Research Database and screened the one-million random sample from the entire population for eligibility. The steroid cohort consisted of 21,995 individuals who had used systemic corticosteroid for a minimum of 6 months between January 1, 1997 and December 31, 2006. They were matched 1:1 in propensity score on the index calendar date with controls who never used steroid. All participants were followed up until occurrence of serious hip arthropathy that required arthroplasty, withdrawal from the national health insurance, or the end of 2011. Surgical indication was classified as fracture-related and -unrelated. The cumulative incidence of hip arthroplasty was estimated by the Kaplan Meier method. The association with steroid exposure was explored by the Cox proportional hazard model. RESULTS: Cumulative incidences of hip arthroplasty after 12 years of follow-up were 2.96% (95% confidence interval [CI], 2.73-3.2%) and 1.34% (95% CI, 1.2-1.51%) in the steroid users and non-users, respectively (P<0.0001). The difference was evident in fracture-related arthroplasty with 1.89% (95% CI, 1.71-2.09%) versus 1.10% (95% CI, 0.97-1.25%), but more pronounced in fracture-unrelated surgery, 1.09% (95% CI, 0.95-1.24%) versus 0.24% (95% CI, 0.19-0.32%). Multivariate-adjusted Cox regression analysis confirmed steroid use was independently associated with both fracture-related (adjusted hazard ratio [HR], 1.65; 95% CI, 1.43-1.91) and unrelated arthroplasty (adjusted HR, 4.21; 95% CI, 3.2-5.53). Moreover, the risk for fracture-unrelated arthropathy rose with steroid dosage, as the adjusted HR increased from 3.30 (95% CI, 2.44-4.46) in the low-dose subgroup, 4.54 (95% CI, 3.05-6.77) in intermediate-dose users, to 6.54 (95% CI, 4.74-9.02) in the high-dose counterpart (Ptrend<0.0001). CONCLUSIONS: Corticosteroid use is associated with long-term risk of hip arthroplasty, particularly for fracture-unrelated arthropathy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.298
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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