Literature DB >> 33227628

The prevalence of chronic conditions in patients diagnosed with one of 29 common and rarer cancers: A cross-sectional study using primary care data.

Minjoung Monica Koo1, Ruth Swann2, Sean McPhail3, Gary A Abel4, Cristina Renzi5, Greg P Rubin6, Georgios Lyratzopoulos3.   

Abstract

BACKGROUND: Pre-existing chronic conditions (morbidities) influence the diagnosis and management of cancer. The prevalence of specific morbidities in patients diagnosed with common and rarer cancers is inadequately described.
METHODS: Using data from the English National Cancer Diagnosis Audit 2014, we studied 11 pre-existing morbidities recorded as yes/no items by participating general practitioners based on information included in primary care records. We examined the number and type of morbidities across socio-demographic and cancer site strata, and subsequently estimated observed and age/sex standardised prevalence of each morbidity by cancer.
RESULTS: Over three-quarters (77 %; 11,429/14,774) of non-screen-detected patients had at least one chronic condition before diagnosis, while nearly half (47 %) had two or more. Hypertension (39 %) and physical disability (2%) were the most and least common conditions. Male, older and more socio-economically deprived patients were more likely to have at least one morbidity (p < 0.001 for all between variable group comparisons). For most morbidities, the standardised prevalence was similar across different cancers with a few exceptions, including respiratory disease prevalence being greatest among lung cancer patients and diabetes prevalence being greatest among liver, pancreatic, and endometrial cancer patients.
CONCLUSIONS: Most cancer patients have at least one morbidity, while almost one in two have two or more. The findings highlight the need to take certain morbidity- and cancer-site combinations into account when examining associations between morbidity and cancer outcomes.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cancer outcomes; Comorbidities; Epidemiology; Long-term conditions; Oncology

Mesh:

Year:  2020        PMID: 33227628      PMCID: PMC7768190          DOI: 10.1016/j.canep.2020.101845

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  23 in total

1.  Comorbid conditions delay diagnosis of colorectal cancer: a cohort study using electronic primary care records.

Authors:  Luke T A Mounce; Sarah Price; Jose M Valderas; William Hamilton
Journal:  Br J Cancer       Date:  2017-05-11       Impact factor: 7.640

2.  Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study.

Authors:  Chris Salisbury; Leigh Johnson; Sarah Purdy; Jose M Valderas; Alan A Montgomery
Journal:  Br J Gen Pract       Date:  2011-01       Impact factor: 5.386

3.  A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data.

Authors:  Rupert A Payne; Gary A Abel; Colin R Simpson
Journal:  BMJ Open       Date:  2012-04-13       Impact factor: 2.692

4.  Symptom perceptions and help-seeking behaviour prior to lung and colorectal cancer diagnoses: a qualitative study.

Authors:  Sarah McLachlan; Gemma Mansell; Tom Sanders; Sarah Yardley; Daniëlle van der Windt; Lucy Brindle; Carolyn Chew-Graham; Paul Little
Journal:  Fam Pract       Date:  2015-06-22       Impact factor: 2.267

5.  The epidemiology of multimorbidity in primary care: a retrospective cohort study.

Authors:  Anna Cassell; Duncan Edwards; Amelia Harshfield; Kirsty Rhodes; James Brimicombe; Rupert Payne; Simon Griffin
Journal:  Br J Gen Pract       Date:  2018-03-12       Impact factor: 5.386

6.  Effect of pre-existing conditions on bladder cancer stage at diagnosis: a cohort study using electronic primary care records in the UK.

Authors:  Madeline Carney; Myra Quiroga; Luke Mounce; Elizabeth Shephard; Willie Hamilton; Sarah Price
Journal:  Br J Gen Pract       Date:  2020-08-27       Impact factor: 5.386

7.  Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers.

Authors:  Helen Fowler; Aurelien Belot; Libby Ellis; Camille Maringe; Miguel Angel Luque-Fernandez; Edmund Njeru Njagi; Neal Navani; Diana Sarfati; Bernard Rachet
Journal:  BMC Cancer       Date:  2020-01-28       Impact factor: 4.430

8.  Investigation of the international comparability of population-based routine hospital data set derived comorbidity scores for patients with lung cancer.

Authors:  Margreet Lüchtenborg; Eva J A Morris; Daniela Tataru; Victoria H Coupland; Andrew Smith; Roger L Milne; Luc Te Marvelde; Deborah Baker; Jane Young; Donna Turner; Diane Nishri; Craig Earle; Lorraine Shack; Anna Gavin; Deirdre Fitzpatrick; Conan Donnelly; Yulan Lin; Bjørn Møller; David H Brewster; Andrew Deas; Dyfed W Huws; Ceri White; Janet Warlow; Jem Rashbass; Michael D Peake
Journal:  Thorax       Date:  2017-10-27       Impact factor: 9.139

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  6 in total

1.  Prevalence of Cardiovascular Disease in Patients With Potentially Curable Malignancies: A National Registry Dataset Analysis.

Authors:  Nicolò Matteo Luca Battisti; Catherine A Welch; Michael Sweeting; Mark de Belder; John Deanfield; Clive Weston; Michael D Peake; David Adlam; Alistair Ring
Journal:  JACC CardioOncol       Date:  2022-06-21

2.  Do presenting symptoms, use of pre-diagnostic endoscopy and risk of emergency cancer diagnosis vary by comorbidity burden and type in patients with colorectal cancer?

Authors:  Sara Benitez Majano; Georgios Lyratzopoulos; Bernard Rachet; Niek J de Wit; Cristina Renzi
Journal:  Br J Cancer       Date:  2021-11-05       Impact factor: 9.075

3.  Morbidity and measures of the diagnostic process in primary care for patients subsequently diagnosed with cancer.

Authors:  Minjoung M Koo; Ruth Swann; Sean McPhail; Gary A Abel; Cristina Renzi; Greg P Rubin; Georgios Lyratzopoulos
Journal:  Fam Pract       Date:  2022-07-19       Impact factor: 2.290

4.  Role of primary care physician factors on diagnostic testing and referral decisions for symptoms of possible cancer: a systematic review.

Authors:  Victoria Hardy; Adelaide Yue; Stephanie Archer; Samuel William David Merriel; Matthew Thompson; Jon Emery; Juliet Usher-Smith; Fiona M Walter
Journal:  BMJ Open       Date:  2022-01-24       Impact factor: 2.692

Review 5.  Prevention of Chemotherapy-Induced Nausea and Vomiting in the Older Patient: Optimizing Outcomes.

Authors:  Jørn Herrstedt; Sanne Lindberg; Peter Clausager Petersen
Journal:  Drugs Aging       Date:  2021-12-09       Impact factor: 3.923

6.  Identifying ways to improve diabetes management during cancer treatments (INDICATE): protocol for a qualitative interview study with patients and clinicians.

Authors:  Laura Ashley; Saifuddin Kassim; Ian Kellar; Lisa Kidd; Frances Mair; Mike Matthews; Mollie Price; Daniel Swinson; Johanna Taylor; Galina Velikova; Jonathan Wadsley
Journal:  BMJ Open       Date:  2022-02-22       Impact factor: 2.692

  6 in total

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