Re: Methadone in the Management of Intractable Neuropathic Noncancer Pain
Bibliographic record
Abstract
At our institution, we treat a large population of patients with various types of neuropathic pain, and we are in agreement with the conclusion by Moulin, et al. 1 However, we would like to emphasize the importance of establishing a screening program for the early detection of a potential QTc-interval prolongation and the risk of Torsades de Pointes among patients receiving high dose of methadone.As the authors mentioned, it has been suggested that there is a linear correlation between the daily dose of methadone and the QTc interval.2,3 Therefore, we perform a baseline electrocardiographic (ECG) study prior to instituting long-term methadone treatment greater than 120 mg per day. 4 The ECG study is repeated in one month and every three months thereafter.In the face of QTc-interval prolongation, we discontinue the methadone therapy to avoid potential life-threatening dysrhythmias.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.015 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".