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ASSOCIATED CONDITIONS AND SPECIFIC PREDICTS OF OBSTETRIC ANTIFOSPHOLIPID SYNDROME

2019· article· en· W3197992556 on OpenAlexaff
A. N. RODRIGUES, I. C. dos S. ANDRADE, C. M. M. P. de LEON

Bibliographic record

VenuePERIÓDICO TCHÊ QUÍMICA · 2019
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsAntiphospholipid syndromeMedicinePregnancyLupus anticoagulantAbortionEclampsiaObstetricsDiseaseMiscarriageThrombosisRecurrent miscarriageImmunologyInternal medicine

Abstract

fetched live from OpenAlex

The antiphospholipid syndrome (APS), or Hughes's disease, an autoimmune systemic disease, is the most common thrombophilias acquired in the young adult. In obstetrics, it is characterized clinically and may be associated with other diseases. The objective of this study was to identify the specific laboratory predictors of high risk for fetal loss, as well as the main associated symptomatologies. This study was performed through data analysis of 1557 pregnant patients diagnosed with classic antiphospholipid syndrome. The condition most associated with patients with obstetric SAF in the present study was the presence of previous abortion, followed by early delivery, thrombosis, fetal death, recurrent abortion and pre-eclampsia. The laboratory predictors associated with obstetric antiphospholipid syndrome were lupus anticoagulant and anticardiolipin IgG / IgM. It is necessary to carry out a study to complement the profile of the patients of this syndrome in pregnancy, because the development of antiphospholipid antibodies appear to be frequent in critically ill patients, but more studies are necessary to clarify their pathogenic role and its implications in clinical practice.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.999

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 integrity0.0000.000
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 head0.020
GPT teacher head0.277
Teacher spread0.257 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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