Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 1999;47(2):127-32.
doi: 10.1159/000010076.

Recurrence and survival analyses of 1,115 cervical cancer patients treated with radical hysterectomy

Affiliations

Recurrence and survival analyses of 1,115 cervical cancer patients treated with radical hysterectomy

C Yuan et al. Gynecol Obstet Invest. 1999.

Abstract

Many clinicopathological factors of cervical cancer are still controversial in their prognostic significance. The case records of 1,115 patients who received radical hysterectomy at the Veterans General Hospital, Taipei, from 1980 to 1989 were collected to evaluate prognosis-related factors by univariate and multivariate analyses. The pathology was reviewed retrospectively by one pathologist. Ten parameters known to be prognostic in the literature were included for analysis. Univariate analysis showed that patients with all these factors had higher recurrence rates. However, when the effects of parametrial invasion, progressive stage and stromal invasion were weighed against the presence of lymph node metastasis, their influence on recurrence became unimportant. Nevertheless, these factors still influenced prognosis when there was no lymph node metastasis. Multivariate analysis of both recurrence and survival time in the patients with squamous cell carcinoma shared a consensus that pelvic lymph node metastasis and deep stromal invasion were significant risk factors. We conclude that these simplified and consistent results obtained by multivariate analysis provide a basis for subclassification of patients to predict prognosis and change therapy.

PubMed Disclaimer

MeSH terms