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Standard of Care Evaluation of Venous Thromboembolism Prophylaxis in Selected Solid Tumour Patients at a Tertiary Cancer Care Teaching Hospital.

2004· article· en· W2554268710 on OpenAlexaff
Colleen Donck, Jin Won Huh, Jack T Seki, Eric Chen, Erik Yeo

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineAntithromboticRetrospective cohort studyObservational studyLow molecular weight heparinInternal medicineVenous thromboembolismCancerIntensive care medicineLung cancerMedical recordEmergency medicineHeparinThrombosis

Abstract

fetched live from OpenAlex

Abstract Contemporary evidence suggests thromboprophylaxis in medical oncology patients may be effective, however, according to global surveys, is greatly underutilized despite the substantial risk of venous thromboembolism (VTE). To date, routine thromboprophylaxis of medical oncology inpatients has not been evaluated at a cancer care institution. Not equally common in all types of cancer, VTE is thought to present a higher risk in selected solid tumours of the CNS, lung, gastrointestinal and genitourinary tracts. Recommendations from the Sixth ACCP Consensus Conference on Antithrombotic Therapy include implementing institution-specific VTE prophylaxis guidelines for high-risk patients. The objectives of this study are to develop and implement targeted VTE prophylaxis guidelines for high-risk solid tumour inpatients during admission to a medical oncology ward and to evaluate the impact on prescribing practice. The study is a prospective, observational, before and after chart review with retrospective validation. VTE prophylaxis guidelines were developed through literature review and expert consensus. The results presented are the baseline pre-phase data over 14 weeks. Of nearly 240 charts assessed for eligibility criteria, 92 (39%) were stratified as high-risk according to the developed guidelines based on tumour site. Seventy-two of those patients identified as high-risk were followed prospectively to determine the baseline rates of thromboprophylaxis and venographically confirmed symptomatic VTE. Retrospective validation of results was performed in all 237 patients. Current results of the pre-phase revealed appropriate VTE prophylaxis with a low-molecular weight heparin based on the proposed guidelines in three eligible patients (5.3%). A total of 13 eligible patients (19%) received any form of pharmacological or non-pharmacological prophylaxis. The rate of symptomatic VTE was 11% (n = 10) among high-risk patients of which five patients developed pulmonary embolus (PE), four patients presented with deep vein thrombosis (DVT) and one patient developed portal vein thrombosis. Among non high-risk patients, the rate of symptomatic VTE was significantly lower at 3% (n = 5), among which three patients presented with PE and two patients developed DVT. In both groups, pulmonary embolus was the most common manifestation of VTE. No clinically significant bleeding occurred during prophylaxis. The rate of symptomatic VTE among the highly selected at-risk medical oncology population at this institution was substantially different than the non high-risk population and is in accordance with the literature. This study presents new data on the rates of symptomatic VTE and thromboprophylaxis for medical oncology patients in a hospital setting. The rate of VTE prophylaxis of 5.3% seen in the pre-phase appears unacceptably low given that appropriate pharmacological intervention may potentially reduce the VTE rate by as much as 50% as suggested by relevant literature. As such, implementation of VTE prophylaxis guidelines at this cancer care center is ongoing.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.008
GPT teacher head0.277
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2004
Admission routes1
Has abstractyes

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