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Record W7070592515

Prescribing of Low-Molecular-Weight Heparin and Warfarin in Patients with Acute Venous Thromboembolism and Active Cancer

2014· article· en· W7070592515 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - East Tennessee State University (East Tennessee State University) · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsFondaparinuxLepirudinCancerAdverse effectAnticoagulantPopulation
DOInot available

Abstract

fetched live from OpenAlex

Background: Malignancy is a significant risk factor for venous thromboembolism (VTE), conferring a 4- to 7-fold increased risk in patients with cancer. Because of its effect on certain tumors, low-molecular-weight heparin (LMWH) has been evaluated as a treatment option for cancer and as an alternative to traditional warfarin therapy in patients with active cancer. LMWH is associated with a reduced recurrence of VTE, fewer adverse bleeding events, and, in some instances, decreased mortality. The American College of Chest Physicians/American Society of Clinical Oncology has recommended LMWH for at least the initial 3 to 6 months when treating VTE in patients with cancer, based on the positive outcomes associated with LMWH. Objective: The purpose of this study was to evaluate physician prescribing patterns for LMWH or warfarin in patients with acute VTE and active cancer. Methods: We conducted a retrospective chart review of hospitalized patients at a community teaching hospital with an affiliated regional cancer center located in a rural area of the United States. Patients included in the analysis had an International Classification of Diseases, Ninth Revision code indicative of any cancer type and a concomitant code for any VTE. The primary outcome was the drug prescribed at discharge for the treatment of VTE. Secondary outcomes included specialty of the prescribing physician, adverse bleeding events, and the need for transfusion. VTE treatment regimen was evaluated using the binomial test, and logistic regression analysis was used to determine correlation of the prescriber’s specialty with the patient’s prescribed regimen. Results: Of 129 patients included in the analysis, 107 (82.9%) were prescribed warfarin compared with 9 (7%) who were prescribed LMWH. Hematologists and oncologists were more likely to prescribe LMWH than general practitioners (odds ratio, 7.8; 95% hazard ratio, 1.5-42). Seven patients had a documented adverse bleeding event and 2 patients required a transfusion. Four of the 7 adverse bleeding events and 1 of the 2 transfusions occurred in the group receiving vitamin K antagonist therapy. Conclusion: Physicians in our system were significantly more likely to prescribe warfarin for acute treatment of VTE in patients with active cancer—despite consistent evidence and multiple evidence­-based guidelines recommending treatment with LMWH in this patient population. This was lower than other observations in Canadian populations but may more accurately represent nonteaching centers in the United States, particularly those in rural areas. Specialists in oncology were significantly more likely to prescribe LMWH than generalists.

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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.263
Teacher spread0.245 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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