Health-related quality of life in a cohort of 1070 patients with hypoparathyroidism
Bibliographic record
Abstract
OBJECTIVE: To describe clinical and biochemical characteristics, including health-related quality of life (HRQoL), in patients with chronic hypoparathyroidism (cHypoPT) who were receiving conventional therapy (calcium and active vitamin D), and to compare baseline HRQoL between patients who subsequently received recombinant human parathyroid hormone (1-84) (rhPTH [1-84]) and those who did not. DESIGN: Cross-sectional analysis of data recorded at enrollment (baseline) from patients with cHypoPT in the PARADIGHM registry before May 31, 2022. METHODS: Eligible patients were aged ≥18 years and receiving conventional therapy at enrollment. Health-related quality of life was measured using the 36-Item Short-Form Health Survey version 2 (SF-36v2), Work Productivity and Activity Impairment Specific Health Problem (WPAI:SHP) questionnaire, and the Hypoparathyroidism Symptom Diary (HypoPT-SD). RESULTS: Eligible patients (N = 1070) were mostly female (80.7%) and White (86.0%). Surgery was the most common cause of cHypoPT (82.2%). Mean serum albumin-adjusted calcium, phosphate, and calcium-phosphate product levels were within the target ranges. Mean (standard deviation [SD]) SF-36v2 physical and mental component scores were 46.3 (10.2) and 47.6 (11.5), respectively (normative scores: 50). Patients who went on to receive rhPTH (1-84) (n = 102) had significantly worse baseline HRQoL scores than patients in the conventional therapy group (n = 968) for all SF-36v2 and HypoPT-SD parameters and most WPAI parameters. There were no meaningful differences in biochemical parameters between the groups. CONCLUSIONS: Thirty-six-Item Short-Form Health Survey version 2 scores in patients with cHypoPT were lower than the normalized values reported previously for the US population. Patients who were subsequently prescribed rhPTH (1-84) had worse baseline HRQoL scores than those in the conventional therapy group.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".