Data Resource Profile: The COloRECTal cancer data repository (CORECT-R)

Downing, Amy; Hall, Peter; Birch, Rebecca; Lemmon, Elizabeth; Affleck, Paul; Rossington, Hannah; Boldison, Emily; Ewart, Paul; Morris, Eva

doi:10.1093/ije/dyab122

Cited by 11 publications

(8 citation statements)

References 17 publications

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“…We included 10,392 patients aged 50-74 and 10,071 patients aged 75-99 years old diagnosed with stage IV colon cancer (ICD-10 code: C18) in England between 2014 and 2017 from the COloRECTal cancer Repository (CORECT-R). The CORECT-R is a national population-based resource that provide information about all patients diagnosed with colorectal cancer in England thanks to the linkage of cancer registry data to a variety of datasets including hospitalisation data from Hospital Episode Statistics (HES) 11 . We sequentially excluded patients with unknown vital status (n=16), unknown survival time (n=17), patients with no record in HES (n=419), and those whose surgery was anterior to the cancer diagnosis (n = 435).…”

Section: Methodsmentioning

confidence: 99%

“…Initially a simulation study was conducted to empirically illustrate the impact of age on the magnitude of ITB under different scenarios when using a time-fixed exposure statistical approach prone to ITB, and to compare the performance of three alternative methods to account for this bias. Then, these methods were applied to estimate the effect of surgery performed within 6 months of diagnosis on one-year overall survival in patients diagnosed with stage IV colon cancer aged 50-74 and separately, in those aged 75-99 in England using data from the CORECT-R resource 11 .…”

Section: Introductionmentioning

confidence: 99%

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Immortal time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer

Pilleron

Maringe

Morris

et al. 2022

Preprint

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Background: In observational studies, the risk of immortal time bias (ITB) increases with the likelihood of early death, itself increasing with age. We investigated how age impacts the magnitude of ITB when estimating the effect of surgery on one-year overall survival (OS) in patients with stage IV colon cancer aged 50-74 and 75-99 in England. Method: Using simulations, we compared estimates from a time-fixed exposure model to three methods addressing ITB: time-varying exposure, delayed entry, and landmark methods. We then estimated the effect of surgery on one-year OS using a national population-based cohort of patients derived from the CORECT-R resource. Results: In simulations, the magnitude of ITB was larger among older patients when their probability of early death increased or treatment was delayed. The bias was corrected using the methods addressing ITB. When applied to CORECT-R data, these methods yielded smaller effects than the time-fixed exposure approach but effects were similar in both age groups. Conclusion: ITB must be addressed in all longitudinal studies, particularly, when investigating the effect of an exposure on an outcome in different groups of people (e.g., age groups) with different distributions of exposure and outcomes.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Immortal time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer

Pilleron

Maringe

Morris

et al. 2022

Preprint

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“…Patients in Yorkshire were identified using the UK Colorectal Cancer Intelligence Hub’s COloRECTal Repository (CORECT-R) by linkage of the data from the national cancer registry (National Cancer Registration and Analysis Service) and inpatient hospital admissions (Hospital Episode Statistics, HES) 19 . Major surgical resection is defined in CORECT-R using a methodology that matches procedure codes within HES to identify all operations used to surgically treat colorectal cancer.…”

Section: Methodsmentioning

confidence: 99%

Differences in the management of patients requiring an emergency resection for colonic cancer in two European populations

et al. 2022

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Background Patients with colonic cancer who require emergency colonic cancer surgery often experience poorer outcomes compared with their elective counterparts. In this setting, several treatments approaches are available. In 2009, Danish guidelines recommended treatment with stent for obstruction in left-sided tumours as a bridge to surgery, if expertise is accessible. The aim of this study was to compare the use of elective and emergency resections for colonic cancer and postoperative mortality in two similar demographic populations. Methods All patients who underwent a major resection for colonic cancer, between 2005 and 2016 in Denmark and Yorkshire (UK) were identified. The proportion undergoing emergency surgery, the proportion receiving a stent procedure before their resection, and 30-day postoperative mortality were compared between the populations. Logistic regression was used to determine changes in the proportion of those undergoing emergency surgery and 30-day postoperative mortality. Results Out of 45 397 patients treated during the study interval, 41 880 were selected. Emergency surgery decreased in Denmark from 16.6 per cent in 2005–07 to 12.9 per cent in 2014–16, but increased in Yorkshire (13.5 per cent to 16.8 per cent). Danish patients with left-sided tumours were less likely to undergo emergency surgery (risk ratio 0.90, 95 per cent c.i. 0.82 to 0.99) and an increase in stent use coincided with a statistically significant decrease in emergency surgery in these patients. Thirty-day postoperative mortality in all resections (elective and emergency) decreased in both populations, but a larger decrease was observed in Denmark (7.7 per cent to 3.0 per cent in Denmark and 7.1 per cent to 3.3 per cent in Yorkshire). Conclusion Patients in Denmark experienced a reduction in the use of emergency resection and increase in stenting procedures, following the policy implemented in some departments of converting potential emergency resections into elective resections.

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“…This may include accessing medical records (including endoscopy reports and histology) and a telephone call to assess whether any adverse events (AEs) or serious adverse events (SAEs) have occurred. No further contact will be required for study participation, although participants will be asked to consent to long‐term (up to 5 years) passive follow‐up of health outcomes through endoscopy data, medical records and national databases such as the National Cancer Registry Database, Hospital Episode Statistics data, National Endoscopy Database [42] and link to the CORECT‐R data repository [43]. Where data are currently anonymized participant consent will be sought to link data when this becomes possible.…”

Section: Methodsmentioning

confidence: 99%

Trial protocol for COLO‐DETECT: A randomized controlled trial of lesion detection comparing colonoscopy assisted by the GI Genius™ artificial intelligence endoscopy module with standard colonoscopy

et al. 2022

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Funding informationCOLO-DETECT is an industry-funded, investigator-led study; funding is through an unrestricted grant awarded from Medtronic Ltd (ERP 2020-12257) covering study delivery, GI Genius™ devices, CTU costs and results analysis costs. The funder will have no role in study design or delivery. COLO-DETECT is sponsored by South Tyneside and Sunderland NHS Foundation Trust, who are the grant holder for the study. Colonoscopies will be conducted on existing NHS lists, incurring no additional costs to the NHS.

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Data Resource Profile: The COloRECTal cancer data repository (CORECT-R)

Cited by 11 publications

References 17 publications

Immortal time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer

Immortal time bias in older vs younger age groups: a simulation study with application to a population-based cohort of patients with colon cancer

Differences in the management of patients requiring an emergency resection for colonic cancer in two European populations

Trial protocol for COLO‐DETECT: A randomized controlled trial of lesion detection comparing colonoscopy assisted by the GI Genius™ artificial intelligence endoscopy module with standard colonoscopy

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