Joint pain, physical function, and balance self-confidence in acromegaly versus nonfunctioning pituitary adenoma patients
Bibliographic record
Abstract
CONTEXT: Patients with acromegaly (PWA) experience balance issues, despite achieving biochemical remission, that may significantly impair their quality of life. OBJECTIVE: We sought to assess the prevalence of falls and balance self-confidence in PWA in comparison with a control group. Furthermore, we investigated the effect of joint pain and function as predictors for their balance self-confidence. DESIGN: Cross-sectional, case-controlled. SETTING: Tertiary care centers. PARTICIPANTS: In this case-control study, we surveyed PWA (n = 94) and nonfunctioning pituitary adenoma (PNA; n = 82) with similar age, sex, and body mass index from two Canadian centers. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Data were obtained on number of falls during the past 12 months, self-confidence to maintain balance, joint pain, joint surgery, pain medication usage, and upper and lower extremity musculoskeletal disability. RESULTS: While both PWA and PNA had a similarly high risk of falls, PWA had lower self-confidence to maintain balance (P < .01). Patients with acromegaly had higher joint pain scores and more functional impairment in upper extremity, hip, knee, and ankle joints (all P < .01). In both groups, age, sex, and ankle functional score were predictors of balance self-confidence. For PWA, hip functional score was also a predictor of balance self-confidence in contrast to knee and back pain scores being predictors for the PNA group. CONCLUSIONS: We confirmed an increased prevalence of falls in both groups with diminished balance confidence in PWA. This reduced balance self-confidence seems to be related to their increased hip functional impairment in comparison with PNA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".