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Record W3204621160 · doi:10.1097/nor.0000000000000792

Methotrexate Intolerance

2021· article· en· W3204621160 on OpenAlexaff
Elizabeth Salt, Kristine M. Lohr, Jean Edward

Bibliographic record

VenueOrthopaedic Nursing · 2021
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsMethotrexateRheumatoid arthritisPerspective (graphical)MedicineInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

An estimated 11%-33% of persons taking methotrexate for rheumatoid arthritis (RA) are intolerant to this medication. Medications for RA are often discontinued or changed because of patient intolerance. Yet, intolerance is a poorly defined perspective, specifically the patient's perspective. This study used descriptive qualitative methodologies to describe methotrexate intolerance from the perspective of adult patients with RA. Semistructured, audio-recorded individual interviews were conducted with 14 adult English-speaking patients with RA who had been prescribed, were taking, or had ever taken methotrexate. Methotrexate intolerance involves a complex belief system involving 3 themes: beliefs about the risk of methotrexate, beliefs about the benefits of methotrexate, and beliefs about the threat of RA. Participants reported a threshold by which perceived risks and benefits of methotrexate were weighed against perceived risks of RA. The critical underpinnings of the largely undefined and unique patient perspective of methotrexate intolerance are described.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.318
Teacher spread0.298 · 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 designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

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