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Research Data Supporting "The diagnostic performance of CA125 for the detection of ovarian and non-ovarian cancer in primary care: a population-based cohort study"


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Type

Dataset

Change log

Authors

Hamilton, Willie 
Abel, Gary 
Crosbie, Emma J 
Rous, Brian 

Description

This dataset contains the probability of cancer at different CA125 levels derived from logistic regression analysis and supporting the PLOS Medicine publication: "The diagnostic performance of CA125 for the detection of ovarian and non-ovarian cancer in primary care: a population-based cohort study". The dataset is in Excel format. Sheet A provides the probability of ovarian cancer (with associated 95% confidence intervals) for CA125 levels between 1-1000 U/ml. Sheet B provides the probability of invasive ovarian cancer (with associated 95% confidence intervals) for CA125 levels between 1-1000 U/ml. Sheet C provides the probability of all cancer (with associated 95% confidence intervals) for CA125 levels between 1-1000 U/ml. Sheet D provides the probability of ovarian cancer (with associated 95% confidence intervals) for CA125 levels between 1-1000 U/ml for women aged 30, 40, 50, 60, 70 and 80 years of age.

Version

Software / Usage instructions

The data were prepared using STATA V15.1. The data is provided in xls format for ease convenience.

Keywords

CA125, Cancer antigen 125, Ovarian cancer, Primary care, Early cancer detection, Logistic regression

Publisher

Sponsorship
This research arises from the CanTest Collaborative, which is funded by Cancer Research UK [C8640/A23385]. The study was also funded by the National Institute of Health Research (NIHR) School of Primary Care Research [FR17 424]. The funders of this study had no role in the study design, data collection, data analysis, data interpretation, or writing of the report. The views expressed are those of the authors and not necessarily those of the NIHR, the Department of Health and Social Care or Cancer Research UK.
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