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P-055 YI Thiopurine Methyltransferase Testing and Thiopurine Use in Inflammatory Bowel Disease Patients Amongst Gastroenterologists

2014· article· en· W2335508852 on OpenAlexaffabout
Sundeep Singh, Remo Panaccione, Novak Kerri

Bibliographic record

VenueInflammatory Bowel Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsThiopurine methyltransferaseAzathioprineMedicineInflammatory bowel diseaseInternal medicineGastroenterologyMercaptopurineDiseaseGuidelinePathology

Abstract

fetched live from OpenAlex

Inflammatory bowel disease (IBD) is a chronic disease that often requires immunosuppressive and/or immunomodulatory therapy, in particular thiopurines such as Azathioprine (AZA) and 6-Mercaptopurine (6-MP). Numerous guidelines and organizations such as the World Gastroenterology Organization, American College of Gastroenterology, American Gastroenterology Association, National Institute for Health and Clinical Excellence and Federal Drug Association recommend routine evaluation of thiopurine methyltransferase testing (TPMT) for enzyme levels in order to identify at-risk patients for thiopurine-induced leukopenia. Therefore, we administered an electronic survey to Gastroenterologists to evaluate practice patterns and guideline adherence in TPMT testing for thiopurine use in inflammatory bowel disease patients. We designed a 21-question electronic survey that was provided to the Canadian Association of Gastroenterology (CAG). The survey was distributed to all CAG members on July 14, 2014 via e-mail and subsequently posted on the CAG website. The survey was created using online software from www.surveymonkey.com and results were analyzed using online software. To date, there have been 38 respondents. Majority (68.4%) of the Gastroenterologists were in the 30-49 age range, 71.1% were male and 57.9% are practicing in academic institutions. The most commonly prescribed thiopurine is Azathioprine (92.1%) and the most influential prescribing factor is personal familiarity (60.5%). Only 44.7% of Gastroenterologists routinely order TPMT testing and 15.8% of Gastroenterologists were unaware TPMT testing was available in Canada. Amongst those that are aware, 55.3% are unaware which laboratories offer TPMT testing. Amongst Gastroenterologists, 29.0% order TPMT testing on all newly diagnosed IBD patients while 31.6% order it on IBD patients just prior to starting therapy with a thiopurine. The most common reason Gastroenterologists do not order TPMT testing is because they believe testing is not available locally (15.8%). Additionally, Gastroenterologists believe TPMT testing costs anywhere from $11 to over $200 and believe result take anywhere from 1 day to over 4 weeks to attain. Based on our survey and analysis of initial responses, there is considerable variability in practice patterns with TPMT testing for thiopurine use in IBD patients. We have highlighted that there are several misconceptions amongst TPMT testing. We believe that this data can aid in creating an educational initiative aimed at clarifying common misconceptions and provide greater adherence to current guidelines.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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.

Opus teacher head0.014
GPT teacher head0.246
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2014
Admission routes2
Has abstractyes

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