Patient perspectives on post-operative direct oral anticoagulant for venous thromboembolism prevention in patients with gynecologic cancers undergoing laparotomy

The use of DOAC for extended VTE prophylaxis was associated with high patient satisfaction, further supporting its use in this context.

Authors

Institutions

Publication Details

Journal
Gynecologic Oncology Reports
Published
2026-03-09
DOI
https://doi.org/10.1016/j.gore.2026.102056
Primary Topic
Venous Thromboembolism Diagnosis and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patient perspectives on post-operative direct oral anticoagulant for venous thromboembolism prevention in patients with gynecologic cancers undergoing laparotomy

Sophia Pin, Joseph Rogers, Jennifer Mateshaytis, Kristin A. Black et al.
Gynecologic Oncology Reports
Venous Thromboembolism Diagnosis and Management
article

Patient perspectives on post-operative direct oral anticoagulant for venous thromboembolism prevention in patients with gynecologic cancers undergoing laparotomy

Sophia Pin, Joseph Rogers, Jennifer Mateshaytis, Kristin A. Black, Laura Sevick, Steven Bisch, Pamela Flasha
article en

Abstract

The use of DOAC for extended VTE prophylaxis was associated with high patient satisfaction, further supporting its use in this context.

Gynecologic Oncology ReportsVol. 64
College of the Holy Cross (US), University of Alberta (CA), University of Calgary (CA), University of Alberta Hospital (CA)
Openalex Percentile: Top 34%
Venous Thromboembolism Diagnosis and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.