MétaCan
Menu
Back to cohort
Record W1613023587 · doi:10.1055/s-0037-1615945

Heparin-induced Thrombocytopenia: Yet Another Treatment Paradox?

2001· article· en· W1613023587 on OpenAlexaff
Theodore E. Warkentin

Bibliographic record

VenueThrombosis and Haemostasis · 2001
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHeparinMedicineThrombosisHeparin-induced thrombocytopeniaAnticoagulantPlatelet factor 4Low molecular weight heparinIntensive care medicineFondaparinuxPlateletPlatelet activationSurgeryImmunologyVenous thromboembolism

Abstract

fetched live from OpenAlex

Summary Few topics in medicine rival heparin-induced thrombocytopenia (HIT) for the unexpected twists and turns enough to rival the plot of many a mystery novel. The underlying theme- anticoagulant-induced thrombosis- seems improbable, but is well-established: despite thrombocytopenia, patients rarely bleed spontaneously or even exhibit petechiae (1); rather, thrombosis develops in 30-75% of patients with HIT, depending upon the clinical situation, and in proportions far greater than expected based on the original reason for receiving heparin (2-4). But even beyond this fundamental contradiction, there exists for the unwary and uninformed practitioner several counterintuitive treatment paradoxes. One is the dichotomous nature of low-molecular-weight heparin (LMWH) respecting prevention and treatment of HIT. LMWH is far less likely to cause HIT than standard, unfractionated heparin (4, 5). Yet, for the patient with acute HIT caused by unfractionated heparin, LMWH is contraindicated (6, 7). The reason: LMWH preparations contain some heparin molecules with 12 or greater saccharide units, which are sufficiently long to bind platelet factor 4 (PF4), creating the multimolecular complexes bearing the HIT antigens. Consequently, ongoing platelet activation, thrombocytopenia, and thrombosis occur in many patients so treated (8).

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.330
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.148
GPT teacher head0.360
Teacher spread0.212 · 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

Citations39
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueThrombosis and HaemostasisSame topicHeparin-Induced Thrombocytopenia and ThrombosisFrench-language works237,207