Identifying symptoms of ovarian cancer: a qualitative and quantitative study
2008

Identifying Symptoms of Ovarian Cancer

Sample size: 124 publication 10 minutes Evidence: moderate

Author Information

Author(s): Bankhead C, Collins C, Stokes-Lampard H, Rose P, Wilson S, Clements A, Mant D, Kehoe S, Austoker J

Primary Institution: University of Oxford

Hypothesis

What are the diagnostic factors for ovarian cancer?

Conclusion

Ovarian cancer is not a silent killer, and recognizing the significance of symptoms could lead to earlier referrals.

Supporting Evidence

  • Women with ovarian cancer experienced symptoms before diagnosis.
  • Persistent abdominal distension was significantly associated with ovarian cancer.
  • Many women misinterpreted their symptoms as normal changes.

Takeaway

Women with ovarian cancer often have symptoms before they are diagnosed, but they might not realize these symptoms are serious.

Methodology

The study used qualitative interviews and quantitative analysis of symptoms in women referred for suspected ovarian cancer.

Potential Biases

Potential nonresponse bias and survivor bias due to the timing of interviews.

Limitations

The sample size was limited to manage qualitative data collection, and the model needs further validation.

Participant Demographics

Women aged 20 to 70+, with a median age of 59 for those with cancer and 48 for those without.

Statistical Information

P-Value

0.05

Confidence Interval

95% CI 1.3–20.5

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1111/j.1471-0528.2008.01772.x

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