2024/07/25 by Javiera Martínez-Gutiérrez, Lucas de Mendonça, Philip T. T. Ly +11 · 2 voices
Health Professions · Medicine · #Cancer Risks and Factors #Nutrition and Health in Aging #Obesity and Health Practices
paper · pdf · doi:10.3399/bjgpo.2024.0025
openalex publication_date 2024/07/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
BACKGROUND: Cancer diagnoses often begin with consultations with GPs, but the non-specific nature of symptoms can lead to delayed diagnosis. Unexpected weight loss (UWL) is a common non-specific symptom linked to undiagnosed cancer, yet guidelines for its diagnostic assessment in general practice lack consistency. AIM: To synthesise evidence on the association between UWL and cancer diagnosis, and to review clinical guidelines and recommendations for assessing patients with UWL. DESIGN & SETTING: Systematic search and analysis of studies conducted in primary care. METHOD: Four databases were searched for peer-reviewed literature from 2012 to 2023. Two reviewers conducted all the steps. A narrative review was conducted detailing the evidence for UWL as a risk factor for undiagnosed cancer, existing clinical guidance, and recommended diagnostic approach. RESULTS: We included 25 studies involving 916 092 patients; 92% provided strong evidence of an association between UWL and undiagnosed cancer. The National Institute for Health Care and Excellence (NICE) Cancer Guideline in the UK was frequently cited. General suggestions encompassed regular weight monitoring, family history, risk factor evaluation, additional signs and symptoms, and a comprehensive physical examination. Commonly recommended pathology tests included C-reactive protein (CRP), complete blood count, alkaline phosphatase, and thyroid-stimulating hormone. Immunochemical faecal occult blood test, abdominal ultrasound, and chest X-ray were also prevalent. One large cohort study provided age, sex, and differential diagnosis-specific recommendations. CONCLUSION: This evidence review informs recommendations for investigating patients with UWL and will contribute to a computer decision support tool implementation in primary care, enhance UWL assessment, and potentially facilitate earlier cancer diagnosis.