Literature DB >> 17233861

Feasibility of screening for ovarian cancer using symptoms as selection criteria.

B D Rufford1, I J Jacobs, U Menon.   

Abstract

OBJECTIVE: Retrospective studies have reported that 95% of women with ovarian cancer have symptoms prior to diagnosis and that women with these symptoms are at an increased risk of ovarian cancer. Failure to recognise these symptoms may result in a delay in referral and diagnosis. We assess the feasibility of screening for ovarian cancer using symptoms as selection criteria.
DESIGN: A randomised controlled trial.
SETTING: General practices in East London. POPULATION: Three hundred and ninety GPs.
METHODS: GPs were randomised by practice, and those in the study group were given rapid access to ultrasound and CA125 test for women, >45 years, suffering from symptoms that may be caused by ovarian cancer. MAIN OUTCOME MEASURES: Symptoms leading to referral, ultrasound and CA125 results and ovarian cancer diagnosis.
RESULTS: Seventy nine practices containing 197 GPs were randomised to the study arm. Three hundred and seventeen women were referred, of which 315 were eligible. Women reported the following symptoms: abdominal 87%, gastrointestinal 41% and constitutional 29%. Twenty-three women had abnormal findings on ultrasound: 20 were managed conservatively and 3 surgically. Histology revealed a mucinous cystadenoma, a Brenner tumour and a serous cystadenoma. Incidental findings included endometrial pathology in 13 women and bladder pathology in 2. Ninety five percent of CA125 results were <35 units/ml.
CONCLUSIONS: This pilot study confirms the feasibility of screening for ovarian cancer using symptoms as selection criteria. Specificity was high and patient compliance good. Initial concerns about referral volumes and additional investigations and referrals generated were not confirmed. No ovarian cancers were detected in this pilot study, and this may be due to the size of the cohort.

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Year:  2007        PMID: 17233861     DOI: 10.1111/j.1471-0528.2006.01153.x

Source DB:  PubMed          Journal:  BJOG        ISSN: 1470-0328            Impact factor:   6.531


  10 in total

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Review 3.  In 2014, can we do better than CA125 in the early detection of ovarian cancer?

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5.  Identifying women with suspected ovarian cancer in primary care: derivation and validation of algorithm.

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6.  The double-edged sword of ovarian cancer information for women at increased risk who have previously taken part in screening.

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7.  Global epidemiology, risk factors, and histological types of ovarian cancers in Trinidad.

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8.  Risk of ovarian cancer in women with symptoms in primary care: population based case-control study.

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9.  Estimating the workload associated with symptoms-based ovarian cancer screening in primary care: an audit of electronic medical records.

Authors:  Anita WeyWey Lim; David Mesher; Peter Sasieni
Journal:  BMC Fam Pract       Date:  2014-12-12       Impact factor: 2.497

10.  Refining Ovarian Cancer Test accuracy Scores (ROCkeTS): protocol for a prospective longitudinal test accuracy study to validate new risk scores in women with symptoms of suspected ovarian cancer.

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Journal:  BMJ Open       Date:  2016-08-09       Impact factor: 2.692

  10 in total

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