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Record W2564894937 · doi:10.3899/jrheum.160929

Pregnancy Outcomes in Patients with Psoriatic Arthritis

2017· letter· en· W2564894937 on OpenAlexvenueno aff
Maria Mouyis, Catherine Clare Thornton, David Williams, Ian Giles

Bibliographic record

VenueThe Journal of Rheumatology · 2017
Typeletter
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
FundersUniversity College London
KeywordsMedicinePsoriatic arthritisPregnancyRheumatoid arthritisInflammatory arthritisDiseaseArthritisPsoriasisRetrospective cohort studyInternal medicineAdverse effectPhysical therapyObstetricsImmunology

Abstract

fetched live from OpenAlex

To the Editor: Historically, pregnancy has been considered to have a beneficial effect upon inflammatory arthritis, with around 75% of women with rheumatoid arthritis (RA) reportedly improving. These findings were mostly from retrospective studies, which lacked objective measures of disease activity1. Modern prospective studies using validated measures of disease activity reveal less impressive ameliorative effects of pregnancy on inflammatory disease activity, reporting that around 50% of women with active RA improve during pregnancy2. Further, it is now recognized that active disease in women with inflammatory arthritis is associated with adverse pregnancy outcomes3. Most studies, however, have focused on patients with RA and there is much less information on disease activity and pregnancy outcomes in women with psoriatic arthritis (PsA). Therefore, we carried out a retrospective analysis of all patients with … Address correspondence to Dr. I.P. Giles, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK. E-mail: i.giles{at}ucl.ac.uk

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.490
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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 teacher head, 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

Citations29
Published2017
Admission routes1
Has abstractyes

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