Thiopurine methyltransferase screening before azathioprine prescription: a physician survey.
Bibliographic record
Abstract
BACKGROUND: In patients treated with azathioprine, deficient thiopurine methyltransferase (TPMT) activity has been associated with haematologic toxicity. OBJECTIVES: To determine how many Saskatchewan rheumatologists routinely pre-screen TPMT activity before prescribing azathioprine. Further, to retrospectively review TPMT activity levels from pre-screening in one patient cohort. METHODS: All rheumatologists practicing in the province of Saskatchewan were surveyed by questionnaire. The questionnaire scrutinized prevalence of routine TPMT screening pre-azathioprine initiation, response to abnormal test results, monitoring frequencies, starting dosages, and attitudes towards potential consensus guidelines or practice standards. For the second objective of this study, health region laboratory database retrieval identified 42 patients who had undergone TPMT phenotype testing within a single rheumatology practice. Chart review of all 42 patients was performed to verify test results. RESULTS: In a survey of all eleven Saskatchewan rheumatologists, 55% reported routinely pre-screening, compared to 45% who never screen pre-azathioprine. Half of those who pre-screen, report avoidance of azathioprine in both patients with deficiency and those with intermediate activity levels. The majority of respondents indicated they would adjust their practice to conform to future national rheumatology clinical guidelines. A retrospective review in one practice revealed TPMT activity values consistent with deficiency, carrier status, and normal ranges in 2.4%, 21.4%, and 76.2% of patients pre-screened, respectively. CONCLUSIONS: Provincial rheumatologists were divided on the practice of pre-screening TPMT status prior to initiation of azathioprine. Azathioprine may be underutilized by half of those who pre-screen. A need for practice guidelines was recognized by the participants. In this patient group, diminished TPMT activity was observed in 23.8% of those who were tested.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".