MétaCan
Menu
Back to cohort
Record W2017946178 · doi:10.1592/phco.20.4.292.34883

Evaluation and Management of Drug‐Induced Thrombocytopenia in the Acutely Ill Patient

2000· review· en· W2017946178 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

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2000
Typereview
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsSt. Boniface Hospital
Fundersnot available
KeywordsDrugMedicineHeparin-induced thrombocytopeniaIntensive care medicinePlateletThrombosisPharmacologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

The numerous drugs to which the acutely ill are exposed place these patients at a significant risk of developing drug-induced thrombocytopenia. Such patients tend to have preexisting hemostatic defects that place them at additional risk of complications as a result of the drug-induced thrombocytopenia. The clinical challenge is to provide rapid identification and removal of the offending agent before clinically significant bleeding or, in the case of heparin, thrombosis results. Drug-induced thrombocytopenic disorders can be classified into three mechanisms: bone marrow suppression, immune-mediated destruction, and platelet aggregation. Clinical characteristics, preliminary laboratory findings, and drug history specific to the mechanisms can assist clinicians in rapidly isolating the causative drug.

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)0.005
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.108
GPT teacher head0.436
Teacher spread0.328 · 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