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Record W3141657246 · doi:10.3899/jrheum.200716

Selexipag Therapy for Raynaud Phenomenon-induced Severe Digital Ischemia in Intravenous Epoprostenol Responders With Connective Tissue Disease

2021· article· en· W3141657246 on OpenAlexaffvenueabout
David Langleben, Laeora Berkson, Sandra Chartrand

Bibliographic record

VenueThe Journal of Rheumatology · 2021
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsHôpital Maisonneuve-RosemontMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineConnective tissue diseaseVasodilationIschemiaCTDAgonistConnective tissueCardiologyInternal medicineMixed connective tissue diseaseDiseaseAutoimmune diseasePathologyReceptor

Abstract

fetched live from OpenAlex

Selexipag is approved for the treatment of pulmonary arterial hypertension (PAH) in Canada.None of the agents already used clinically for Raynaud phenomenon (RP) and digital ischemia, including calcium blockers, phosphodiesterase-5 inhibitors, and others, are approved for RP.This was, therefore, compassionate use therapy.We did not require institutional review board approval to give the therapy.Both subjects agreed to receive selexipag, after an explanation of its actions and side effects profile, as we do routinely for patients with PAH, and with the understanding that it would be stopped if the subjects felt there was no benefit.Both subjects gave signed written consent to publish their photographs in an anonymous fashion.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.018
GPT teacher head0.263
Teacher spread0.245 · 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 designCase report
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".

Quick stats

Citations6
Published2021
Admission routes3
Has abstractyes

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