Patient-reported outcomes in palopegteriparatide-treated adults with hypoparathyroidism: PaTH Forward trial extension
Bibliographic record
Abstract
CONTEXT: Individuals with hypoparathyroidism experience a range of physical and cognitive symptoms and reduced quality of life (QoL) despite management with conventional therapy (active vitamin D and calcium). OBJECTIVE: This analysis investigated the long-term impact of parathyroid hormone (PTH) replacement therapy with palopegteriparatide (YORVIPATH®) on symptoms, daily functioning, and well-being in adults with chronic hypoparathyroidism. Associations between patient characteristics and changes in patient-reported outcomes (PROs) were also analyzed. METHODS: PaTH Forward was a phase 2 clinical trial of palopegteriparatide with a 4-week randomized, double-blind, placebo-controlled period followed by an open-label extension period lasting through trial week 266. PRO measures were collected at baseline, weeks 4, 12, 26, 58, and annually thereafter through the end of the trial. The Hypoparathyroidism Patient Experience Scales (HPES) assess disease-specific symptoms and impacts on functioning and well-being. The Short Form Health Survey (SF-36v2) measures general health-related QoL. Data were analyzed using descriptive statistics and Mixed Models for Repeated Measures. RESULTS: Palopegteriparatide treatment demonstrated significant improvements from baseline in disease-specific symptoms and impacts on daily functioning and well-being at week 12, which were sustained through week 110. Mean changes in PROs met thresholds for clinically meaningful within-patient improvement. Significant improvements in general health-related QoL were also shown in SF-36v2 scores. Results were generally similar across demographics and patient characteristics. CONCLUSION: Through week 110 of the PaTH Forward trial, PTH replacement therapy with palopegteriparatide was associated with significant improvements in disease-specific symptoms and impacts on daily functioning and well-being, as well as general health-related QoL.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".