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Record W2070551814 · doi:10.1055/s-2000-13189

Venous Thromboembolism: Risk Factors and Prophylaxis

2000· article· en· W2070551814 on OpenAlexaff
Rita Selby, William Geerts

Bibliographic record

VenueSeminars in Respiratory and Critical Care Medicine · 2000
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineWarfarinLow molecular weight heparinVenous thromboembolismRisk stratificationIntensive care medicineHeparinThrombosisVenous thrombosisRisk factorPulmonary embolismRisk assessmentSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Venous thromboembolism is a common disease in the community and the most frequent preventable cause of hospital death. Acquired and inherited risk factors for thrombosis have been extensively studied over the past two decades. These factors and the clinical setting allow the stratification of most hospitalized patients into low-, moderate-, and high-risk groups. For patients in the moderate- and high-risk categories, routine thromboprophylaxis can decrease the morbidity and mortality from thromboembolic complications as well as reduce patient care expenditures. Low-dose heparin is generally the most appropriate prophylaxis for moderate-risk patients, and either low molecular weight heparin or adjusted-dose warfarin is generally the most appropriate for high-risk patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.303
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations26
Published2000
Admission routes1
Has abstractyes

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