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Record W2801592460 · doi:10.1097/mbc.0000000000000731

Conservative management of neonatal cerebral sinovenous thrombosis with coexisting thrombophilia

2018· article· en· W2801592460 on OpenAlexaff
Vidushi Khatri, Anthony K.C. Chan, Nina Stein, Bosco Paes, Mihir D. Bhatt

Bibliographic record

VenueBlood Coagulation & Fibrinolysis · 2018
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsMcMaster Children's HospitalMcMaster UniversityPediatric Oncology Group
Fundersnot available
KeywordsMedicineThrombophiliaPediatricsThrombosisSurgery

Abstract

fetched live from OpenAlex

: Neonatal cerebral sinovenous thrombosis (CSVT) comprises approximately 50% of all pediatric-related CSVT. Although guidelines support anticoagulation in pediatric CSVT, the role of anticoagulation in neonatal CSVT remains controversial. This case report details the course of a neonate diagnosed with extensive CSVT and concurrent bilateral thalamic and intraventricular hemorrhage. Due to existing hemorrhage at the time of diagnosis, anticoagulation therapy was not administered. Despite coexisting protein C and antithrombin deficiency, CSVT resolved spontaneously, and neurodevelopmental follow-up after 13 years suggests a good prognosis. Although our case had a positive outcome, the association between the use of anticoagulation with concurrent hemorrhage and long-term outcome in neonatal CSVT has not been investigated in prospective studies to firmly guide optimum treatment. Current literature and guidelines for the treatment of neonatal CSVT are reviewed in this article. Until robust studies are available, expert opinion recommends anticoagulation in a stable neonate with CSVT.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.279
Teacher spread0.249 · 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 designCase report
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

Citations5
Published2018
Admission routes1
Has abstractyes

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