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Are There Ethnic Differences in Recorded Features among Patients Subsequently Diagnosed with Cancer? An English Longitudinal Data-Linked Study.
Martins, Tanimola; Ukoumunne, Obioha C; Lyratzopoulos, Georgios; Hamilton, Willie; Abel, Gary.
Afiliação
  • Martins T; Department of Health and Community Sciences, Faculty of Health and Life Sciences, College of Medicine and Health, University of Exeter St Luke's Campus, Magdalen Road, Exeter EX1 2LU, UK.
  • Ukoumunne OC; National Institute for Health and Care Research (NIHR) Applied Research Collaboration (ARC) South West Peninsula (PenARC), Department of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX1 2LU, UK.
  • Lyratzopoulos G; Epidemiology of Cancer Healthcare & Outcomes (ECHO) Group, University College London, 1-19 Torrington Place, London WC1E 7HB, UK.
  • Hamilton W; Department of Health and Community Sciences, Faculty of Health and Life Sciences, College of Medicine and Health, University of Exeter St Luke's Campus, Magdalen Road, Exeter EX1 2LU, UK.
  • Abel G; Department of Health and Community Sciences, Faculty of Health and Life Sciences, College of Medicine and Health, University of Exeter St Luke's Campus, Magdalen Road, Exeter EX1 2LU, UK.
Cancers (Basel) ; 15(12)2023 Jun 07.
Article em En | MEDLINE | ID: mdl-37370710
ABSTRACT
We investigated ethnic differences in the presenting features recorded in primary care before cancer diagnosis.

METHODS:

English population-based cancer-registry-linked primary care data were analysed. We identified the coded features of six cancers (breast, lung, prostate, colorectal, oesophagogastric, and myeloma) in the year pre-diagnosis. Logistic regression models investigated ethnic differences in first-incident cancer features, adjusted for age, sex, smoking status, deprivation, and comorbidity.

RESULTS:

Of 130,944 patients, 92% were White. In total, 188,487 incident features were recorded in the year pre-diagnosis, with 48% (89,531) as sole features. Compared with White patients, Asian and Black patients with breast, colorectal, and prostate cancer were more likely than White patients to have multiple features; the opposite was seen for the Black and Other ethnic groups with lung or prostate cancer. The proportion with relevant recorded features was broadly similar by ethnicity, with notable cancer-specific exceptions. Asian and Black patients were more likely to have low-risk features (e.g., cough, upper abdominal pain) recorded. Non-White patients were less likely to have alarm features.

CONCLUSION:

The degree to which these differences reflect disease, patient or healthcare factors is unclear. Further research examining the predictive value of cancer features in ethnic minority groups and their association with cancer outcomes is needed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article