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Record W2203540357 · doi:10.1177/1352458515618020

Interferon beta-1a long-term therapy related to pulmonary arterial hypertension in multiple sclerosis patients

2015· article· en· W2203540357 on OpenAlexaff
Anthony Fok, Trevor J. Williams, Catriona McLean, Ernest Butler

Bibliographic record

VenueMultiple Sclerosis Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsMedicineMultiple sclerosisLung transplantationInterferon beta-1bInternal medicinePulmonary hypertensionInterferon betaBETA (programming language)LungGastroenterologyPathologyImmunology

Abstract

fetched live from OpenAlex

We report two patients with relapsing remitting multiple sclerosis (RRMS) on interferon (IFN) beta-1a treatment for more than 7 years who developed pulmonary arterial hypertension (PAH). Patient 1 developed severe PAH requiring lung transplantation. Histology showed typical proliferative lesions including plexiform lesions consistent with PAH. Patient 2 ceased IFN beta-1a, and their symptoms stabilised. Both cases highlight IFN beta-1a treatment as a potential risk factor for PAH. PAH needs to be considered as a diagnosis in patients on long-term IFN beta-1a treatment who develop new-onset respiratory symptoms.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.161
GPT teacher head0.291
Teacher spread0.130 · 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".

Quick stats

Citations19
Published2015
Admission routes1
Has abstractyes

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