Regional variation in routes to diagnosis of cholangiocarcinoma in England from 2006 to 2017.


Journal

World journal of gastroenterology
ISSN: 2219-2840
Titre abrégé: World J Gastroenterol
Pays: United States
ID NLM: 100883448

Informations de publication

Date de publication:
28 Jun 2023
Historique:
received: 20 03 2023
revised: 05 05 2023
accepted: 25 05 2023
medline: 11 7 2023
pubmed: 10 7 2023
entrez: 10 7 2023
Statut: ppublish

Résumé

Incidence of cholangiocarcinoma (CCA) is rising, with overall prognosis re-maining very poor. Reasons for the high mortality of CCA include its late presentation in most patients, when curative options are no longer feasible, and poor response to systemic therapies for advanced disease. Late presentation presents a large barrier to improving outcomes and is often associated with diagnosis To investigate routes to diagnosis of CCA over time, regional variation and influencing factors. 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 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 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.

Sections du résumé

BACKGROUND BACKGROUND
Incidence of cholangiocarcinoma (CCA) is rising, with overall prognosis re-maining very poor. Reasons for the high mortality of CCA include its late presentation in most patients, when curative options are no longer feasible, and poor response to systemic therapies for advanced disease. Late presentation presents a large barrier to improving outcomes and is often associated with diagnosis
AIM OBJECTIVE
To investigate routes to diagnosis of CCA over time, regional variation and influencing factors.
METHODS 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
RESULTS 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
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 37426314
doi: 10.3748/wjg.v29.i24.3825
pmc: PMC10324535
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3825-3842

Informations de copyright

©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict-of-interest statement: Zalin-Miller A reports grants from AMMF, during the conduct of the study.

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Auteurs

Amy Zalin-Miller (A)

Department of Analytics, Health Data Insight CIC, Cambridge CB21 5XE, United Kingdom.
National Disease Registration Service, NHS England, London E14 4PU, United Kingdom. amy.zalin@nhs.net.

Sophie Jose (S)

Department of Analytics, Health Data Insight CIC, Cambridge CB21 5XE, United Kingdom.
National Disease Registration Service, NHS England, London E14 4PU, United Kingdom.

Craig Knott (C)

Department of Analytics, Health Data Insight CIC, Cambridge CB21 5XE, United Kingdom.
National Disease Registration Service, NHS England, London E14 4PU, United Kingdom.

Lizz Paley (L)

National Disease Registration Service, NHS England, London E14 4PU, United Kingdom.

Daniela Tataru (D)

National Disease Registration Service, NHS England, London E14 4PU, United Kingdom.

Helen Morement (H)

CEO, AMMF, London CM24 1QW, United Kingdom.

Mireille B Toledano (MB)

MRC Centre for Environment and Health, School of Public Health, Imperial College London, London SW7 2BX, United Kingdom.

Shahid A Khan (SA)

Liver Unit, Division of Digestive Diseases, Imperial College London, London W21NY, United Kingdom.

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