Delay to elective colorectal cancer surgery and implications for survival: a systematic review and meta‐analysis

Autor: Thomas M. Whittaker, Jack R Kelly, Gethin Williams, J. Froud, Jeremy S. Williamson, A. Fitzpatrick, Mohamed Abdelrazek
Rok vydání: 2021
Předmět:
Zdroj: Colorectal Disease
ISSN: 1463-1318
1462-8910
DOI: 10.1111/codi.15625
Popis: Aim The Covid‐19 pandemic has delayed elective colorectal cancer (CRC) surgery. The aim of this study was to see whether or not this may affect overall survival (OS) and disease‐free survival (DFS). Method A systematic review was carried out according to PRISMA guidelines (PROSPERO ID: CRD42020189158). Medline, EMBASE and Scopus were interrogated. Patients aged over 18 years with a diagnosis of colon or rectal cancer who received elective surgery as their primary treatment were included. Delay to elective surgery was defined as the period between CRC diagnosis and the day of surgery. Meta‐analysis of the outcomes OS and DFS were conducted. Forest plots, funnel plots and tests of heterogeneity were produced. An estimated number needed to harm (NNH) was calculated for statistically significant pooled hazard ratios (HRs). Results Of 3753 articles identified, seven met the inclusion criteria. Encompassing 314 560 patients, three of the seven studies showed that a delay to elective resection is associated with poorer OS or DFS. OS was assessed at a 1 month delay, the HR for six datasets was 1.13 (95% CI 1.02–1.26, p = 0.020) and at 3 months the pooled HR for three datasets was 1.57 (95% CI 1.16–2.12, p = 0.004). The estimated NNH for a delay at 1 month and 3 months was 35 and 10 respectively. Delay was nonsignificantly negatively associated with DFS on meta‐analysis. Conclusion This review recommends that elective surgery for CRC patients is not postponed longer than 4 weeks, as available evidence suggests extended delays from diagnosis are associated with poorer outcomes. Focused research is essential so patient groups can be prioritized based on risk factors in future delays or pandemics.
Databáze: OpenAIRE
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