Zalin-Miller A, Jose S, Knott C, Paley L, Tataru D, Morement H, Toledano MB, Khan SA. Regional variation in routes to diagnosis of cholangiocarcinoma in England from 2006 to 2017. World J Gastroenterol. 2023 Jun 28;29(24):3825-3842. doi: 10.3748/wjg.v29.i24.3825. PMID: 37426314; PMCID: PMC10324535. https://pubmed.ncbi.nlm.nih.gov/37426314/
Abstract:
Aim: To investigate routes to diagnosis of CCA over time, regional variation and influencing factors.
Methods: We linked patient records from the National Cancer Registration Dataset to Hospital Episode Statistics, Cancer Waiting Times and Cancer Screening Programme datasets to define routes to diagnosis and certain patient characteristics for patients diagnosed 2006-2017 in England. We used linear probability models to investigate geographic variation by assessing the proportions of patients diagnosed via TWW referral or EP across Cancer Alliances in England, adjusting for potential confounders. Correlation between the proportion of people diagnosed by TWW referral and EP was investigated with Spearman’s correlation coefficient.
Results: Of 23632 patients diagnosed between 2006-2017 in England, the most common route to diagnosis was EP (49.6%). Non-TWW GP referrals accounted for 20.5% of diagnosis routes, 13.8% were diagnosed by TWW referral, and the remainder 16.2% were diagnosed via an ‘other’ or Unknown route. The proportion diagnosed via a TWW referral doubled between 2006-2017 rising from 9.9% to 19.8%, conversely EP diagnosis route declined, falling from 51.3% to 46.0%. Statistically significant variation in both the TWW referral and EP proportions was found across Cancer Alliances. Age, presence of comorbidity and underlying liver disease were independently associated with both a lower proportion of patients diagnosed via TWW referral, and a higher proportion diagnosed by EP after adjusting for other potential confounders.
Conclusion: There is significant geographic and socio-demographic variation in routes to diagnosis of CCA in England. Knowledge sharing of best practice may improve diagnostic pathways and reduce unwarranted variation.