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Record W2003407491 · doi:10.1159/000215288

Heparin-induced Thrombocytopenia

2009· review· en· W2003407491 on OpenAlex

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

VenueHaemostasis · 2009
Typereview
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsCanadian Red Cross SocietyMcMaster University Medical Centre
Fundersnot available
KeywordsHeparinHeparin-induced thrombocytopeniaMedicineThrombusThrombosisComplicationIntensive care medicinePulmonary embolismPlatelet factor 4PlateletAnticoagulantSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Heparin-induced thrombocytopenia is the most frequent and the most important idiosyncratic haematological drug reaction. It is important for several reasons: first, because heparin is used so often, and the frequency of heparin-induced thrombocytopenia is high, the risk of a hospitalized patient developing heparin-induced thrombocytopenia is high. Second, heparin-induced thrombocytopenia poses a major therapeutic dilemma for the clinician - continue the heparin and risk a worsening of the thrombocytopenia, or stop the heparin and risk extension or embolism of the thrombus. Finally, a small subset of patients with heparin-induced thrombocytopenia develop the disastrous complication of heparin-induced thrombocytopenia plus arterial thrombosis. Some of these patients die. In this review, we will summarize some of the issues concerning heparin-induced thrombocytopenia, including its frequency, the various techniques used to diagnose the condition, its pathophysiology and approaches that can be used to manage patients with heparin-induced thrombocytopenia.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.005

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 head0.207
GPT teacher head0.430
Teacher spread0.223 · 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