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Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
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Related Experiment Video

Updated: Feb 10, 2026

Quantitation of Intra-peritoneal Ovarian Cancer Metastasis
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Ovarian cancer statistics, 2018.

Lindsey A Torre1, Britton Trabert2, Carol E DeSantis3

  • 1Scientist, Surveillance and Health Services Research, American Cancer Society, Atlanta, GA.

CA: a Cancer Journal for Clinicians
|May 30, 2018
PubMed
Summary

Ovarian cancer incidence and mortality rates have declined in the US, but significant racial disparities persist, particularly in survival rates for Black women. Further research into causes and early detection is crucial.

Keywords:
epidemiologyepithelial ovarian cancershealth disparitiesovarian neoplasms

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Area of Science:

  • Oncology
  • Epidemiology
  • Cancer Research

Background:

  • Ovarian cancer is a significant health concern in the United States, with substantial incidence and mortality.
  • The American Cancer Society analyzes national data to provide an overview of ovarian cancer trends.
  • Early detection strategies for ovarian cancer are an ongoing area of review.

Purpose of the Study:

  • To present an overview of ovarian cancer occurrence in the United States using recent incidence and mortality data.
  • To review the current status of early detection strategies for ovarian cancer.
  • To highlight racial disparities in ovarian cancer incidence, mortality, and survival.

Main Methods:

  • Utilized incidence data from nationwide population-based cancer registries.
  • Employed mortality data from the National Center for Health Statistics.
  • Reviewed existing literature and data on early detection strategies.

Main Results:

  • Ovarian cancer incidence and mortality rates have shown a declining trend in the US.
  • Significant racial disparities exist, with Non-Hispanic Blacks (NHBs) experiencing lower survival rates compared to Non-Hispanic Whites (NHWs) and Asians/Pacific Islanders (APIs).
  • APIs show higher incidence of specific subtypes like endometrioid and clear cell carcinomas and higher overall survival rates.

Conclusions:

  • Reducing racial disparities and advancing knowledge of etiology and tumorigenesis are key to accelerating progress in ovarian cancer prevention and early detection.
  • Continued monitoring of incidence, mortality, and survival trends is essential.
  • Further research is needed to address the plateau in survival rates for NHBs.