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Record W2399259951

Low-molecular-weight heparin in pregnant women with prosthetic heart valves.

2006· article· en· W2399259951 on OpenAlexaff
Laurence M Descarries, Line Leduc, Paul Khairy, Lise‐Andrée Mercier

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineLow molecular weight heparinPregnancyHeparinRegimenAspirinGestationHeart valveMechanical heartAnticoagulantSurgeryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM OF THE STUDY: Low-molecular-weight heparin (LMWH) is considered a recommended anticoagulation option in pregnant women with prosthetic heart valves. However, few data are available regarding the efficacy and safety of LMWH in this setting. METHODS: In 1999, the authors' institution developed a standardized anticoagulation protocol for pregnant women with prosthetic heart valves, which included LMWH administered between six and 12 weeks' gestation, and after 36 weeks, with prespecified target levels, and additional low-dose aspirin. Herein is presented the initial experience using this anticoagulation regimen. RESULTS: Among five women with prosthetic heart valves treated with LMWH during part of their pregnancy, four had uneventful pregnancies while one suffered a coronary artery embolus. A review is provided of the current state of knowledge regarding anticoagulation in pregnancy, with emphasis placed on the importance of strict monitoring of anticoagulation levels. CONCLUSION: Given the drawbacks of other forms of anticoagulation, and within the constraints of available data, LMWH appears--when administered with caution--to be an acceptable alternative in pregnant women with prosthetic heart valves.

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 score0.499
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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

Citations7
Published2006
Admission routes1
Has abstractyes

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