Second-look laparotomy in epithelial ovarian carcinoma. Prognostic factors associated with survival duration. 1988

S M Lippman, and D S Alberts, and D J Slymen, and S Weiner, and S A Aristizabal, and A Luditch, and J R Davis, and E A Surwit
Department of Medicine, Arizona Cancer Center, University of Arizona Medical Center, Tucson 85724.

This article that reports on 70 consecutive patients is one of only a few studies of advanced ovarian cancer that have attempted to define predictive factors associated with survival duration after second-look laparotomy. As in many other investigations, several factors have been analyzed for predicting second-look outcome. The prognostic variables analyzed in this study included age, stage, histologic grade, residual disease status after initial surgery, and type (cisplatin versus no cisplatin) and number of cycles of chemotherapy. Only stage (P = 0.002) and optimal disease (less than 2 cm residual tumor size) after initial surgery (P less than 0.001) were significantly associated with the absence of disease at second-look laparotomy, and both were significant predictors of second-look outcome in a multivariate logistic regression model. Their impact on actuarial survival after second-look laparotomy diminished, however. Actuarial survival after second-look laparotomy was associated with residual tumor size at second-look surgery (P = 0.02). According to second-look findings, the 3-year actuarial survival rates and standard errors were as follows: no pathologic evidence of disease, 80.7% +/- 13.4% 3-year survival; microscopic disease plus less than or equal to 2 cm residual disease, 49.1% +/- 13.1% survival; and gross residual disease (i.e., greater than 2 cm maximum tumor diameter), 29.5% +/- 11.4% survival. We also examined the effect of extensive tumor resection at second-look laparotomy on survival for patients with greater than 2 cm gross residual disease. Optimum resection (less than 2 cm residual tumor mass) resulted in significantly greater survival than suboptimum resection (P less than 0.001). This strongly suggests that there is a survival advantage associated with optimum resection at second-look laparotomy.

UI MeSH Term Description Entries
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D010051 Ovarian Neoplasms Tumors or cancer of the OVARY. These neoplasms can be benign or malignant. They are classified according to the tissue of origin, such as the surface EPITHELIUM, the stromal endocrine cells, and the totipotent GERM CELLS. Cancer of Ovary,Ovarian Cancer,Cancer of the Ovary,Neoplasms, Ovarian,Ovary Cancer,Ovary Neoplasms,Cancer, Ovarian,Cancer, Ovary,Cancers, Ovarian,Cancers, Ovary,Neoplasm, Ovarian,Neoplasm, Ovary,Neoplasms, Ovary,Ovarian Cancers,Ovarian Neoplasm,Ovary Cancers,Ovary Neoplasm
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D012086 Reoperation A repeat operation for the same condition in the same patient due to disease progression or recurrence, or as followup to failed previous surgery. Revision, Joint,Revision, Surgical,Surgery, Repeat,Surgical Revision,Repeat Surgery,Revision Surgery,Joint Revision,Revision Surgeries,Surgery, Revision
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000206 Actuarial Analysis The application of probability and statistical methods to calculate the risk of occurrence of any event, such as onset of illness, recurrent disease, hospitalization, disability, or death. It may include calculation of the anticipated money costs of such events and of the premiums necessary to provide for payment of such costs. Analysis, Actuarial,Actuarial Analyses,Analyses, Actuarial
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age

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