ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
Venous Thromboembolism in Japanese Patients with Gynecologic Cancer.
Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Left ovarian vein thrombosis suspected during cesarean section and confirmed postoperatively: a case report and review of the literature.BMC pregnancy and childbirth · 2026Review
- Factors Associated and Survival Outcomes Among Japanese Patients with Solid Cancer Who Developed Deep Vein Thrombosis (DVT).International journal of general medicine · 2026Article
- Incidence and risk factors for venous thromboembolism in gynecological cancer: the GOTIC-VTE trial.Journal of thrombosis and thrombolysis · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveGynecologic cancer, including cervical, endometrial, and ovarian cancer, comprises the fifth leading type of cancer and is an important malignant disease in women. Previous studies in Western countries have reported respective prevalence rates for venous thromboembolism (VTE) of 3.3%-18.7%, 0.8%-8.1%, and 7.2%-20.9%. In this study, we aimed to identify the characteristics associated with VTE in Japanese patients.
methodsWe carried out a retrospective cohort study to compare the clinicopathological characteristics of patients with each gynecologic cancer with and without concomitant VTE. Patients: Patients with cervical, endometrial, or ovarian cancer treated at Fukui Prefectural Hospital, Japan, from April 2010 to March 2020.
resultsAmong 699 patients with gynecologic cancer, 50 developed VTE within 5 years after their cancer diagnosis, including 16/357 patients with cervical cancer (5.6%), 12/185 with endometrial cancer (6.8%), and 22/157 with ovarian cancer (14.6%). The 1-year mortality rate after symptomatic VTE onset was 47.8%. The VTE group included significantly more older patients and more patients with advanced cancer or poor performance status compared with the non-VTE group. There was no significant difference in the rate of surgical treatment. Symptomatic, but not asymptomatic VTE, was associated with shorter survival.
conclusionSeveral baseline characteristics differed between patients with and without VTE. The incidences of VTE and some risk factors were similar in Japanese patients with gynecologic cancers compared with patients in other countries. Patients with VTE had some factors that worsened their prognosis, with patients with gynecologic cancer and symptomatic VTE having an especially poor prognosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.