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Record W1970311996 · doi:10.1586/17474086.1.1.75

Risk of heparin-induced thrombocytopenia in patients receiving thromboprophylaxis

2008· review· en· W1970311996 on OpenAlex
Andreas Greinacher, Theodore E. Warkentin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Review of Hematology · 2008
Typereview
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsMedicineHeparinHeparin-induced thrombocytopeniaPlateletThrombosisPlatelet factor 4Platelet activationDiscovery and development of direct thrombin inhibitorsInternal medicineLow molecular weight heparinThrombinSurgery

Abstract

fetched live from OpenAlex

Heparin-induced thrombocytopenia (HIT) is a clinicopathological syndrome associated with heparin therapy that is characterized by a decrease in platelet counts and/or the development of a new thrombosis. Two types of HIT exist, type I is nonimmune and self-resolves, whereas type II is immune-mediated and clinically important. The formation of antibodies against the platelet factor 4-heparin complexes results in platelet activation and thrombin formation, which lead to an increased risk of thrombosis. Unfractionated heparin is associated with a higher risk of HIT than low-molecular-weight heparins. Surgical patients, particularly those undergoing orthopedic or cardiac surgery, are at higher risk of HIT than medical patients. Treatment of HIT involves heparin cessation together with anticoagulation with direct thrombin inhibitors or indirect factor Xa inhibitors.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.690
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0180.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.044
GPT teacher head0.367
Teacher spread0.323 · 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