Women awaiting knee replacement have reduced function and growth hormone.
Bibliographic record
Abstract
Women experience greater functional impairment and occurrence of osteoarthritis than men. We hypothesized that lower levels of serum insulin-like growth factor-I may contribute to gender differences in physical impairments. A cross-sectional comparison (n = 139) was done on candidates having total knee arthroplasty and healthy controls subjects of similar age (range, 55-75 years). Physical function, perceived function, and serum insulin-like growth factor levels were compared across group and gender using analysis of variance. Insulin-like growth factor-I values were markedly reduced in women overall and women having surgery had significantly reduced levels despite lean body mass correction. Values consistent with clinical hormone deficiency were observed in 21% of women and only 4% of men having arthroplasty. Physical function was markedly reduced in women, at times functioning only 33% when compared with healthy women, whereas men's limitations were not as profound. The current findings indicate that physical function is more impaired and serum insulin-like growth factor-I is markedly reduced in women awaiting arthroplasty than their male counterparts. The gender differences observed biochemically and with functional performance indicate that the pathophysiology of end stage osteoarthritis may differ between men and women.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".