Neuroleptic Malignant Syndrome—An 11-Year Longitudinal Case-Control Study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To describe patients with neuroleptic malignant syndrome (NMS), to establish occurrence of NMS, to investigate risk factors of NMS, and to investigate mortality associated with NMS. METHOD: We conducted a longitudinal register linkage case-control study of NMS. RESULT: In health care registers covering the period from 1996 to 2007, we identified, among 224 372 patients with organic, psychotic, affective, or neurotic diagnosis, 83 patients with NMS, equivalent to an occurrence of 0.04%. Treatment with second-generation antipsychotics (SGAs) in the 3 months preceding admission increased the NMS risk (OR 4.66; 95% CI 1.96 to 11.10) and also first-generation antipsychotics (FGAs) of high potency (OR 23.41; 95% CI 5.29 to 103.61) and mid potency (OR 4.81; 95% CI 1.96 to 11.79), and depot antipsychotics (OR 4.53; 95% CI 1.60 to 12.80). Benzodiazepines (BDZs) also increased the risk of NMS (OR 3.43; 95% CI 1.68 to 12.80). NMS was associated with an increased mortality (HR 1.88; 95% CI 1.19 to 2.98) in patients, compared with sex-, age-, and diagnosis-matched control subjects, but no significant difference in mortality between patients and control subjects was observed after the initial 30 days (P = 0.27). CONCLUSIONS: The occurrence of NMS is low, and the prediction of NMS is difficult. Previous treatment with FGAs, SGAs, and BDZs was identified as a risk factor for developing NMS. NMS increased mortality within 30 days after NMS.
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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) | 0.000 | 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 | 0.001 |
| 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 it