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Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer

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DataONE2023-09-13 更新2025-07-19 收录
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Background Understanding the use of invasive procedures (IPs) at the end-of-life (EoL) is important to avoid under- and overtreatment, but epidemiologic analysis is hampered by limited methods to define treatment intent and EoL phase. This study applied novel methods to report IPs at the EoL using a colorectal cancer (CRC) case study. Methods An English population-based cohort of adult patients diagnosed between 2013 and 2015 was used with follow-up to 2018. Procedure intent (curative, non-curative, diagnostic) by cancer site and stage at diagnosis was classified by two surgeons independently. Joinpoint regression modelled weekly rates of IPs for 36 sub-cohorts of patients with incremental survival of 0-36 months. EoL phase was defined by a significant IP rate change before death. Zero-inflated Poisson regression explored associations between IP rates and clinical/sociodemographic variables. Results Of 87,731 patients included, 41,972 (48%) died. 9,492 procedures were classified by inte..., , , # Data from: Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer [https://doi.org/10.5061/dryad.hmgqnk9jq](https://doi.org/10.5061/dryad.hmgqnk9jq) This dataset categorizes OPCS codes according to treatment intent (potentially curative, non-curative, diagnostic and metastectomy) ## Description of the data and file structure This data is structured with in rows corresponding to OPCS codes (version 4) by cancer site (ICD10) and stage (UICC TNM). Each permutation is categorized by two independent colorectal surgical specialists with discrepancies reconciled into a final categorization. ## * ##
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2025-07-17
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