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Record W2088955182 · doi:10.1258/om.2011.110001

The management challenges of non-preeclampsia-related nephrotic syndrome in pregnancy

2011· review· en· W2088955182 on OpenAlexaff
Anne Marie Côté, Nadine Sauvé

Bibliographic record

VenueObstetric Medicine · 2011
Typereview
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsNephrotic syndromeMedicinePregnancyPreeclampsiaPostpartum periodObstetricsPediatricsIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Nephrotic syndrome in a pregnant woman may be challenging, especially when the onset is early in pregnancy or with severe manifestations. Preeclampsia is the most common cause of nephrotic syndrome in pregnancy; however, this review will focus on the management of other renal causes. The aim of this pragmatic review is to address clinical issues that clinicians looking after women with nephrotic syndrome may encounter during pregnancy and the postpartum period. First, we discuss some general issues regarding nephrotic syndrome and its impact on maternal and fetal outcomes in pregnancy, and then we review the maternal management of nephrotic syndrome in pregnancy and during the postpartum period.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.068
GPT teacher head0.315
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2011
Admission routes1
Has abstractyes

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