Evidence map›Paper›PMID 31350467›Full record

ReviewNature reviews. Clinical oncology2019

Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms.

Cristina Renzi, Aradhna Kaushal, Jon Emery, Willie Hamilton, Richard D Neal, Bernard Rachet, Greg Rubin, Hardeep Singh, Fiona M Walter, Niek J de Wit and 1 more

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04764695 (Evaluation of Body Composition and Nutritional Status in Pediatric Patients With Hematological Malignancies), which is not on this map. Cited by 108 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04764695 nacompletednot on this mapstarted 2023, after this paper: background citation

Evaluation of Body Composition and Nutritional Status in Pediatric Patients With Hematological Malignancies

TypeinterventionalSponsorUniversidad de SonoraRan2023 to 2024Enrolled38ConditionsChildhood Cancer, Child Malnutrition, Childhood ObesityArmsD2O dilution technique
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The Impact of Morbidity and Disability on Attendance at Organized Breast Cancer-Screening Programs: A Systematic Review and Meta-Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
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48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Cristina RenziECHO (Epidemiology of Cancer Healthcare and Outcomes) Research Group, Department of Behavioural Science and Health, Institute of Epidemiology & Health Care, University College London, London, UK. c.renzi@ucl.ac.uk.
Aradhna KaushalECHO (Epidemiology of Cancer Healthcare and Outcomes) Research Group, Department of Behavioural Science and Health, Institute of Epidemiology & Health Care, University College London, London, UK.
Jon EmeryCentre for Cancer Research and Department of General Practice, University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia.
Willie HamiltonSt Luke's Campus, University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0003-1611-1373
Richard D NealLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Bernard RachetCancer Survival Group, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Greg RubinInstitute of Health and Society, Sir James Spence Institute, Newcastle University, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, TX, USA.
Fiona M WalterThe Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Niek J de WitJulius Center for Health Sciences and Primary Care, University Medical Center, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0002-0273-8290
Georgios LyratzopoulosECHO (Epidemiology of Cancer Healthcare and Outcomes) Research Group, Department of Behavioural Science and Health, Institute of Epidemiology & Health Care, University College London, London, UK.

Funding

Cancer Research UK 11700Cancer Research UK 18180Cancer Research UK 18525Cancer Research UK 18667Cancer Research UK C8640/A23385
6 · The paper itself

Abstract

An earlier diagnosis is a key strategy for improving the outcomes of patients with cancer. However, achieving this goal can be challenging, particularly for the growing number of people with one or more chronic conditions (comorbidity/multimorbidity) at the time of diagnosis. Pre-existing chronic diseases might affect patient participation in cancer screening, help-seeking for new and/or changing symptoms and clinicians' decision-making on the use of diagnostic investigations. Evidence suggests, for example, that pre-existing pulmonary, cardiovascular, neurological and psychiatric conditions are all associated with a more advanced stage of cancer at diagnosis. By contrast, hypertension and certain gastrointestinal and musculoskeletal conditions might be associated with a more timely diagnosis. In this Review, we propose a comprehensive framework that encompasses the effects of disease-specific, patient-related and health-care-related factors on the diagnosis of cancer in individuals with pre-existing chronic illnesses. Several previously postulated aetiological mechanisms (including alternative explanations, competing demands and surveillance effects) are integrated with newly identified mechanisms, such as false reassurances, or patient concerns about appearing to be a hypochondriac. By considering specific effects of chronic diseases on diagnostic processes and outcomes, tailored early diagnosis initiatives can be developed to improve the outcomes of the large proportion of patients with cancer who have pre-existing chronic conditions.

Indexed as

Chronic DiseaseComorbidityDecision MakingEarly Detection of CancerHumansNeoplasmsPatient ParticipationRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.