A formula for predicting the risk of a positive second-look laparotomy in epithelial ovarian cancer: Implications for a randomized trial

Mark A. Morgan, Joel S. Noumoff, Stephanie King, John J. Mikuta

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Objective: To develop a formula to predict the risk of a positive second-look laparotomy. Methods: A retrospective review was performed on 89 patients who underwent second-look surgery following a complete clinical remission after cis-platin- or carboplatin-based chemotherapy. Logistic regression was used to develop a formula to predict the probability of a positive second look based on age, stage, grade of tumor, residual disease after initial surgery, and histologic type. Results: We identified three groups based on estimated probabilities: low probability (0.25 or less), intermediate probability (0.26–0.74), and high probability (0.75 or more). The low-probability group had an 8% chance of a positive second look, the high-probability group had an 82% chance of a positive second look, and the intermediate-probability group had the correct outcome predicted only 61% of the time. Survival curves paralleled these results and were significantly different for each group. Conclusions: Using known prognostic factors, a formula can aid in implementation of a randomized clinical trial to test the efficacy of second-look laparotomy. This formula could exclude patients not suitable for randomization and give the investigator a better idea of the expected survival of various subgroups.

Original languageEnglish
Pages (from-to)944-948
Number of pages5
JournalObstetrics and Gynecology
Volume80
Issue number6
StatePublished - Dec 1992

Keywords

  • Combined Modality Therapy
  • Female
  • Humans
  • Laparotomy
  • Life Tables
  • Logistic Models
  • Neoplasm Recurrence, Local/epidemiology
  • Neoplasms, Glandular and Epithelial/drug therapy
  • Ovarian Neoplasms/drug therapy
  • Remission Induction
  • Reoperation
  • Retrospective Studies
  • Risk Factors
  • Survival Rate

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