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Record W2127272157 · doi:10.1177/1076029609342093

Early Discharge of Patients With Venous Thromboembolism: Implications Regarding Therapy

2009· article· en· W2127272157 on OpenAlexaff
Paul D. Stein, Russell D. Hull, Fadi Matta, Abdo Y. Yaekoub

Bibliographic record

VenueClinical and Applied Thrombosis/Hemostasis · 2009
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePulmonary embolismAntithromboticHeparinVenous thrombosisLow molecular weight heparinWarfarinThrombosisVenous thromboembolismSurgeryEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this investigation is to show trends in the duration of hospitalization of patients with pulmonary embolism (PE) and deep venous thrombosis (DVT). The number of patients discharged from short-stay non-Federal hospitals throughout the United States with a primary diagnostic code for PE or DVT from 1979 through 2005 was obtained from the National Hospital Discharge Survey. By 2005, 13% of patients with PE were discharged in 1 to 2 days, 30% in 3 to 4 days, 26% in 5 to 6 days, and 31% in > or =7 days. Regarding DVT, by 2005, 26% of patients with DVT were discharged in 1 to 2 days, 34% were discharged in 3 to 4 days, 20% were discharged in 5 to 6 days, and 19% were discharged in > or =7 days. The data indicate that large proportions of patients with a primary diagnosis of PE and of DVT are being discharged before adequate heparin can be administered and before warfarin can become antithrombotic. Others have reported an increased mortality among patients with PE discharged in < or =4 days. If patients are to be discharged before adequate heparin can be administered, outpatient treatment with low-molecular-weight heparin (LMWH) for at least 5 days and until the international normalized ratio (INR) is > or =2.0 for 24 hours is recommended or extended outpatient treatment with LMWH may be considered.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.041
GPT teacher head0.321
Teacher spread0.280 · 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.

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

Citations14
Published2009
Admission routes1
Has abstractyes

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