Clinical Factors Associated with Delayed Diagnosis of Ovarian Cancer: Retrospective Cohort Study Using Linked Medical Records

Using linked primary care, hospital and cancer registry data, we show that presenting symptom and existence comorbid long-term conditions offering alternative explanations for symptoms, both influence the diagnostic delay for ovarian cancer.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250587
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical Factors Associated with Delayed Diagnosis of Ovarian Cancer: Retrospective Cohort Study Using Linked Medical Records

Anjum Memon, Elizabeth Ford, Imogen Rogers
Studies in health technology and informatics
Ovarian cancer diagnosis and treatment
article

Clinical Factors Associated with Delayed Diagnosis of Ovarian Cancer: Retrospective Cohort Study Using Linked Medical Records

Anjum Memon, Elizabeth Ford, Imogen Rogers
article en

Abstract

Using linked primary care, hospital and cancer registry data, we show that presenting symptom and existence comorbid long-term conditions offering alternative explanations for symptoms, both influence the diagnostic delay for ovarian cancer.

Studies in health technology and informaticsVol. 327
Brighton and Sussex Medical School (GB)
Good health and well-being
Openalex Percentile: Top 73%
Ovarian cancer diagnosis and treatment
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Clinical Factors Associated with Delayed Diagnosis of Ovarian Cancer: Retrospective Cohort Study Using Linked Medical Records — Anjum Memon, Elizabeth Ford, et al. · Studies in health technology and informatics (2025) | TGRS Research Map | TGRS