Negative / Null Result ReportOpen accessMedicine· cited by 25

Could Ovarian Cancer Prediction Models Improve the Triage of Symptomatic Women in Primary Care? A Modelling Study Using Routinely Collected Data

Garth Funston; Gary Abel; Emma J. Crosbie; William Hamilton; Fiona M Walter · 2021 · Cancers

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

CA125 is widely used as an initial investigation in women presenting with symptoms of possible ovarian cancer. We sought to develop CA125-based diagnostic prediction models and to explore potential implications of implementing model-based thresholds for further investigation in primary care. This retrospective cohort study used routinely collected primary care and cancer registry data from symptomatic, CA125-tested women in England (2011-2014). A total of 29,962 women were included, of whom 279 were diagnosed with ovarian cancer. Logistic regression was used to develop two models to estimate o

Abstract by Garth Funston; Gary Abel; Emma J. Crosbie; William Hamilton; Fiona M Walter, Cancers (2021) — licensed CC BY 4.0.

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