MétaCan
Menu
Back to cohort
Record W2158605290 · doi:10.1309/ajcp3j1zkybfqxjm

Recommendations for Appropriate Activated Partial Thromboplastin Time Reagent Selection and Utilization

2012· article· en· W2158605290 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

VenueAmerican Journal of Clinical Pathology · 2012
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsPrecision BioLogic (Canada)
FundersDartmouth College
KeywordsPartial thromboplastin timeReagentCoagulationCoagulation testingMedicineHemostasisThromboplastinProthrombin timeHeparinIntensive care medicineSurgeryChemistryInternal medicine

Abstract

fetched live from OpenAlex

The activated partial thromboplastin time (aPTT) is widely used as a screening coagulation test and for monitoring unfractionated heparin therapy. Various commercial reagents are available, with different performance characteristics, particularly responsiveness to the lupus anticoagulant (LA). Because aPTT reagent selection significantly affects the interpretation of results, we reviewed College of American Pathologists proficiency testing data involving approximately 4,000 coagulation laboratories, and conducted a survey of coagulation laboratories (n = 93) using The Fritsma Factor hemostasis Web site to determine the basis for aPTT reagent selection. The data demonstrate that for routine aPTT testing, most laboratories use reagents with high/moderate responsiveness to LA. Significant misunderstanding was apparent regarding the use of appropriate aPTT reagent for routine testing and LA identification. We recommend aPTT reagents with low LA responsiveness to screen for coagulation factor deficiencies and heparin monitoring, and suggest continued education of laboratory professionals and reagent manufacturers about appropriate aPTT reagent use.

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)0.004
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.205
GPT teacher head0.489
Teacher spread0.285 · 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