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dc.contributor.authorQuiroga, M
dc.contributor.authorShephard, EA
dc.contributor.authorMounce, LTA
dc.contributor.authorCarney, M
dc.contributor.authorHamilton, WT
dc.contributor.authorPrice, SJ
dc.date.accessioned2021-01-04T07:24:07Z
dc.date.issued2020-12-21
dc.description.abstractBackground Pre-existing conditions interfere with cancer diagnosis by offering diagnostic alternatives, competing for clinical attention or through patient surveillance. Objective To investigate associations between oesophagogastric cancer stage and pre-existing conditions. Methods Retrospective cohort study using Clinical Practice Research Datalink (CPRD) data, with English cancer registry linkage. Participants aged ≥40 years had consulted primary care in the year before their incident diagnosis of oesophagogastric cancer in 01/01/2010–31/12/2015. CPRD records pre-diagnosis were searched for codes denoting clinical features of oesophagogastric cancer and for pre-existing conditions, including those providing plausible diagnostic alternatives for those features. Logistic regression analysed associations between stage and multimorbidity (≥2 conditions; reference category: no multimorbidity) and having ‘diagnostic alternative(s)’, controlling for age, sex, deprivation and cancer site. Results Of 2444 participants provided, 695 (28%) were excluded for missing stage, leaving 1749 for analysis (1265/1749, 72.3% had advanced-stage disease). Multimorbidity was associated with stage [odds ratio 0.63, 95% confidence interval (CI) 0.47–0.85, P = 0.002], with moderate evidence of an interaction term with sex (1.76, 1.08–2.86, P = 0.024). There was no association between alternative explanations and stage (odds ratio 1.18, 95% CI 0.87–1.60, P = 0.278). Conclusions In men, multimorbidity is associated with a reduced chance of advanced-stage oesophagogastric cancer, to levels seen collectively for women.en_GB
dc.description.sponsorshipUSF Health Morsani College of Medicine, Research, Innovation & Scholarly Endeavorsen_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.description.sponsorshipCancer Research UKen_GB
dc.identifier.citationPublished online 21 December 2020en_GB
dc.identifier.doi10.1093/fampra/cmaa132
dc.identifier.grantnumberC8640/A23385en_GB
dc.identifier.urihttp://hdl.handle.net/10871/124270
dc.language.isoenen_GB
dc.publisherOxford University Press (OUP)en_GB
dc.rights© The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectCancer care/oncologyen_GB
dc.subjectcancer epidemiologyen_GB
dc.subjectdoctor–patient relationshipen_GB
dc.subjectelectronic medical recordsen_GB
dc.subjectmedical comorbidityen_GB
dc.subjectprimary careen_GB
dc.titleQuantifying the impact of pre-existing conditions on the stage of oesophagogastric cancer at diagnosis: a primary care cohort study using electronic medical recordsen_GB
dc.typeArticleen_GB
dc.date.available2021-01-04T07:24:07Z
dc.descriptionThis is the final version. Available on open access from Oxford University Press via the DOI in this recorden_GB
dc.descriptionData availability: The anonymized patient data from this study are not available due to legal privacy restrictions enforced by the CPRD. Code lists and symptom libraries are available from the authors by request.en_GB
dc.identifier.eissn1460-2229
dc.identifier.journalFamily Practiceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
exeter.funder::Cancer Research UKen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-12-21
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-12-28T10:00:51Z
refterms.versionFCDVoR
refterms.dateFOA2021-01-04T07:24:10Z
refterms.panelAen_GB


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© The Author(s) 2020. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.