Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018

Background: Large geographical variations in colorectal cancer (CRC) survival rates have been reported across regions. Poorer survival rates were mainly found in socioeconomically deprived areas, highly dense areas, and areas lacking healthcare accessibility. The objective of this study was to ident...

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Published in:Cancer Causes and Control
Main Author: Ramli S.R.; Azhar Z.I.; Raman S.; Yusof S.N.; Mohamad M.
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211916666&doi=10.1007%2fs10552-024-01945-6&partnerID=40&md5=7187de897b0fb0dfc5b0c2d4a9b6f336
id 2-s2.0-85211916666
spelling 2-s2.0-85211916666
Ramli S.R.; Azhar Z.I.; Raman S.; Yusof S.N.; Mohamad M.
Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
2024
Cancer Causes and Control


10.1007/s10552-024-01945-6
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211916666&doi=10.1007%2fs10552-024-01945-6&partnerID=40&md5=7187de897b0fb0dfc5b0c2d4a9b6f336
Background: Large geographical variations in colorectal cancer (CRC) survival rates have been reported across regions. Poorer survival rates were mainly found in socioeconomically deprived areas, highly dense areas, and areas lacking healthcare accessibility. The objective of this study was to identify, compare, and contrast the spatial patterns of 5-year CRC-specific survival rates and identify high-priority areas by districts in Malaysia. Methods: This retrospective cohort study utilized secondary data from the National Cancer Registry. CRC patients (ICD10 C18-21) diagnosed between 2013 and 2018 were selected. Patient addresses were geocoded into districts and states via geospatial data from the National Geospatial Centre, whereas district population density data were gathered from the Population Census of Malaysia. Kaplan‒Meier survival analysis and log-rank test were conducted to determine and compare the 5-year CRC-specific survival rates, and the spatial distribution of CRC survival by district was determined via ArcGIS software. Results: A total of 18,513 CRC patients were registered from 143 districts, with 10,819 deaths occurring during follow-up. The national 5-year CRC-specific survival rate was 42%, with median survival time of 36 months (95% CI: 34.46, 37.54). The eastern region (Kelantan, Terengganu, and Pahang) had the lowest survival (38.0%). Among the 143 districts, eighty-one (56.6%) reported survival rates below the national average while thirty-six (25.2%) were identified as high-priority districts. Conclusion: The differences in CRC survival rates were evident according to geographical location. Area-based targeted interventions to improve CRC detection, management, and access to healthcare are imperative to address cancer survival disparities and help effectively allocate resources. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
Springer Science and Business Media Deutschland GmbH
09575243
English
Article

author Ramli S.R.; Azhar Z.I.; Raman S.; Yusof S.N.; Mohamad M.
spellingShingle Ramli S.R.; Azhar Z.I.; Raman S.; Yusof S.N.; Mohamad M.
Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
author_facet Ramli S.R.; Azhar Z.I.; Raman S.; Yusof S.N.; Mohamad M.
author_sort Ramli S.R.; Azhar Z.I.; Raman S.; Yusof S.N.; Mohamad M.
title Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
title_short Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
title_full Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
title_fullStr Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
title_full_unstemmed Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
title_sort Spatial patterns of colorectal cancer survival rates in Malaysia, 2013–2018
publishDate 2024
container_title Cancer Causes and Control
container_volume
container_issue
doi_str_mv 10.1007/s10552-024-01945-6
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211916666&doi=10.1007%2fs10552-024-01945-6&partnerID=40&md5=7187de897b0fb0dfc5b0c2d4a9b6f336
description Background: Large geographical variations in colorectal cancer (CRC) survival rates have been reported across regions. Poorer survival rates were mainly found in socioeconomically deprived areas, highly dense areas, and areas lacking healthcare accessibility. The objective of this study was to identify, compare, and contrast the spatial patterns of 5-year CRC-specific survival rates and identify high-priority areas by districts in Malaysia. Methods: This retrospective cohort study utilized secondary data from the National Cancer Registry. CRC patients (ICD10 C18-21) diagnosed between 2013 and 2018 were selected. Patient addresses were geocoded into districts and states via geospatial data from the National Geospatial Centre, whereas district population density data were gathered from the Population Census of Malaysia. Kaplan‒Meier survival analysis and log-rank test were conducted to determine and compare the 5-year CRC-specific survival rates, and the spatial distribution of CRC survival by district was determined via ArcGIS software. Results: A total of 18,513 CRC patients were registered from 143 districts, with 10,819 deaths occurring during follow-up. The national 5-year CRC-specific survival rate was 42%, with median survival time of 36 months (95% CI: 34.46, 37.54). The eastern region (Kelantan, Terengganu, and Pahang) had the lowest survival (38.0%). Among the 143 districts, eighty-one (56.6%) reported survival rates below the national average while thirty-six (25.2%) were identified as high-priority districts. Conclusion: The differences in CRC survival rates were evident according to geographical location. Area-based targeted interventions to improve CRC detection, management, and access to healthcare are imperative to address cancer survival disparities and help effectively allocate resources. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.
publisher Springer Science and Business Media Deutschland GmbH
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