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Record W2920394507 · doi:10.3899/jrheum.180588

Pregnancy Outcomes in Couples with Males Exposed to Longterm Anti–tumor Necrosis Factor–<i>α</i> Inhibitor Therapies: A Prospective Study

2019· article· en· W2920394507 on OpenAlexvenueno aff
Mihaela Micu, Monika Østensen, Violeta Bojincă, Oana Şerban, Cristina Şuţa, Anamaria Ramazan, Luminiţa Enache, Anca Bobîrcă, Sergiu F. Pătcaș, Romeo Micu, Ruxandra Ionescu

Bibliographic record

VenueThe Journal of Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePregnancyProspective cohort studyPreeclampsiaRheumatologyObstetricsTumor necrosis factor αTumor necrosis factor alphaPediatricsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the pregnancy achievement and outcomes in couples in which men with spondyloarthritis (SpA) were exposed to tumor necrosis factor inhibitors (TNFi). METHODS: Information about pregnancies involving fathers with SpA was prospectively collected by 6 Romanian rheumatology centers. RESULTS: Twenty-seven patients achieved 33 pregnancies and fathered 30 healthy children. Three elective abortions (personal reasons) and no spontaneous abortions, preeclampsia/eclampsia, stillbirths, congenital malformations, or pathologies in the children were recorded. Five patients showed normospermia before and after longterm TNFi treatment. CONCLUSION: Pregnancy and child outcomes in male patients with SpA exposed to longterm TNFi therapy were reassuring.

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)0.002
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.284
Teacher spread0.267 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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