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Record W4406309168 · doi:10.1093/jbmrpl/ziaf009

Frailty and osteoporotic fractures represent mutual risks for each other with common physiological backgrounds

2025· article· en· W4406309168 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJBMR Plus · 2025
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsHealth Research Foundation
FundersJapan Society for the Promotion of Science
KeywordsOsteoporotic fractureGerontologyMedicineOsteoporosisInternal medicineBone mineral

Abstract

fetched live from OpenAlex

Abstract Frailty and osteoporosis are known to exacerbate each other. However, limited research is available on the shared pathophysiological factors contributing to osteoporotic fractures and frailty. This study aims to identify common factors associated with both the current frailty and the occurrence of incident vertebral fractures. A total of 912 postmenopausal Japanese women, 63.9 ± 10.0 yr of age (mean ± SD), were included in this study. Each participant’s baseline frailty status was assessed using a questionnaire about the following 5 items: fatigue, resistance, ambulation, inactivity, and weight loss. A score of 3 or above indicated the prevalence of frailty. The participants were then followed up for an average of 10.5 ± 7.5 yr, during which 202 patients suffered incident vertebral fractures. The Cox proportional hazards model for incident vertebral fracture revealed that lumbar bone mineral density (hazard ratio [HR] 0.753, p<.001), adiponectin (HR 1.025, p=.021), log IL-6 (HR 1.227, p=.029), prevalent vertebral fracture (HR 2.124, p<.001), and frailty status (HR 1.355, p=.002) were independent predictors of incident vertebral fractures. The factors associated with frailty status at baseline were assessed using logistic regression analysis, revealing that adiponectin (odds ratio [OR] 1.063, p<.001), log IL-6 (OR 2.94, p<.001), and prevalent vertebral fractures (OR 2.816, p<.001) were significantly associated with current frailty. Biochemical factors such as IL-6 and adiponectin were commonly associated with vertebral fractures and frailty. Additionally, frailty status was identified as an independent risk factor for vertebral fractures, while prevalent vertebral fractures were significantly associated with frailty. These findings clearly indicate that frailty and osteoporotic fractures represent mutual risks for each other, with serum levels of adiponectin and IL-6 serving as common physiological backgrounds.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

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

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 head0.069
GPT teacher head0.384
Teacher spread0.315 · 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