Depression in Primary Hyperparathyroidism: Prevalence and Benefit of Surgery
Bibliographic record
Abstract
CONTEXT: Patients with primary hyperparathyroidism (PHP) often report nonspecific symptoms including mood disturbances. OBJECTIVE: The objective of the study was to determine the frequency of depression in PHP and assess its response to parathyroidectomy. METHODS: A case-control study at a referral center in Rochester, MN, performed Patient Health Questionnaire-9 (PHQ-9) assessments in observed (n = 81) and surgical (n = 88) PHP and benign nontoxic surgical thyroid disease (n = 85) at baseline and 1, 3, 6, and 12 months after surgery or the initial questionnaire in observed PHP. Baseline PHQ-9 scores and their response to surgery were evaluated. RESULTS: The groups were similar in gender and depression history, but PHP patients were older. Baseline PHQ-9 scores were 1.71 points higher in PHP than controls after adjusting for age and gender (P = .004). Clinically significant PHQ-9 scores (≥10) were twice as common in PHP (31.4%) compared with thyroid subjects (15.3%). Parathyroidectomy resulted in significant and sustained reductions in PHQ-9 scores, which were greater than observed PHP at all time points (P < .001). PHP patients with clinically significant PHQ-9 scores dropped to 7.4% (P < .001) and 7.6% (P < .001) at 1 month and 1 yr after parathyroidectomy. There were greater declines in PHQ-9 scores after parathyroidectomy at 1, 3, and 6 months (P < .001) and 1 yr (P = .061) compared with thyroid surgery. CONCLUSIONS: Depression is common in patients with PHP. Parathyroidectomy results in greater improvement in PHQ-9 scores compared with thyroid surgery or observation of PHP.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".