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Record W2038821159 · doi:10.1160/th08-04-0255

Venous thromboembolism in the elderly

2008· article· en· W2038821159 on OpenAlexaff
Joel M. Gore, Darleen Lessard, Cathy Emery, Luigi Pacifico, George Reed, Jerry H. Gurwitz, Robert J. Goldberg, Frederick A. Spencer

Bibliographic record

VenueThrombosis and Haemostasis · 2008
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster University
FundersNational Heart, Lung, and Blood InstituteNational Institute on Aging
KeywordsMedicineVenous thromboembolismWarfarinMedical recordPopulationPediatricsThrombosisEmergency medicineInternal medicineAtrial fibrillation

Abstract

fetched live from OpenAlex

While the magnitude of venous thromboembolism (VTE) increases dramatically with advancing age, relatively little is known about the contemporary management of VTE in the elderly and the impact of age on associated short- and long-term outcomes. The objectives of this population-based study were to compare the clinical characteristics, treatment practices, and outcomes of subjects > or = 65 years with VTE to those of younger patients. The medical records of residents of the Worcester (MA, USA) metropolitan area with ICD-9 codes consistent with VTE during 1999, 2001, and 2003 were independently validated and reviewed by trained data abstractors. Information about patients' demographic and clinical characteristics, hospital management practices, and hospital and long-term outcomes was collected. There were a total of 1,897 validated events of VTE - 1,048 (55%) occurred in patients > or = 65 years of age. Patients > or = 65 years were less likely to have "unprovoked" VTE than younger patients. They were less likely to receive parenteral anticoagulation or warfarin as acute treatment. Rates of recurrent VTE did not differ significantly between patients 65 years of age or older compared to younger patients but the adjusted rates of major bleeding were increased approximately two-fold in older patients. In conclusion, advancing age is not a predictor of recurrent VTE but is associated with a significant increase in major bleeding episodes. Physicians treating elderly patients with VTE should continue to base their decisions on clinical characteristics previously shown to impact the risk of recurrent VTE. These decisions must be tempered by our observation that major bleeding occurs frequently in these 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)0.000
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 score0.817
Threshold uncertainty score0.688

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 head0.078
GPT teacher head0.315
Teacher spread0.237 · 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

Citations165
Published2008
Admission routes1
Has abstractyes

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