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Record W3113244641 · doi:10.1177/0961203320979741

Induced abortions in women with systemic lupus erythematosus

2020· article· en· W3113244641 on OpenAlexaffabout
Karel Venne, Susan C. Scott, Sasha Bernatsky, Évelyne Vinet

Bibliographic record

VenueLupus · 2020
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineAbortionIncidence (geometry)PopulationObstetricsFamily planningLupus erythematosusPregnancyRate ratioRelative riskImmunologyConfidence intervalInternal medicineResearch methodology

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine the rates of induced abortions in women with systemic lupus erythematosus (SLE) compared to women from the general population and assess disease-related predictors of induced abortion in women with SLE. METHODS: We identified women with SLE (15-45 years) and determined the number of induced abortions, using Quebec's administrative databases. We calculated the standardized incidence ratio (SIR) using general population rates. We also performed a nested-case control analysis to investigate predictors of induced abortions in SLE women (such as teratogenic immunosuppressive and corticosteroid exposures). RESULTS: Among 2508 women with SLE, we observed 293 induced abortions [incidence rate of 17.1 induced abortions per 1000 person-years (95% CI 15.2, 19.2)]. There was no clear difference in the number of induced abortions among women with SLE versus women from the general population (SIR 1.10; 95% CI 0.98, 1.24). In the multivariable analysis, we did not observe higher rates of induced abortions among women exposed to teratogenic immunosuppressives [rate ratio (RR) 0.37; 95% CI 0.13, 1.07] or using corticosteroids (RR 0.67; 95% CI 0.39, 1.16). CONCLUSION: Our findings suggest that women with SLE have a similar rate of induced abortions as compared to the general population. This raises some concerns as unplanned pregnancies in SLE women can lead to adverse maternal and fetal outcomes. Our results should prompt further research on family planning counselling in women with SLE.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.029
GPT teacher head0.283
Teacher spread0.254 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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