Evidence map›Paper›PMID 36428757›Full record

ArticleCancers2022

The Effect of Older Age and Frailty on the Time to Diagnosis of Cancer: A Connected Bradford Electronic Health Records Study.

Charlotte Summerfield, Lesley Smith, Oliver Todd, Cristina Renzi, Georgios Lyratzopoulos, Richard D Neal, Daniel Jones

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

7 authors.

Charlotte SummerfieldAcademic Unit of Primary Care, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-1194-8839
Lesley SmithClinical and Population Science Department, School of Medicine, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-4280-6323
Oliver ToddAcademic Unit for Ageing and Stroke Research, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0001-7212-8095
Cristina RenziEpidemiology of Cancer Healthcare Outcomes (ECHO) Research Group, Research Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK.ORCID 0000-0003-3845-9493
Georgios LyratzopoulosEpidemiology of Cancer Healthcare Outcomes (ECHO) Research Group, Research Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK.ORCID 0000-0002-2873-7421
Richard D NealDepartment of Health and Community Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4PY, UK.ORCID 0000-0002-3544-2744
Daniel JonesAcademic Unit of Primary Care, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0003-3833-6055

Funding

Cancer Research UK 18180Cancer Research UK 31373Cancer Research UK C8640/A23385Cancer Research UK EDDCPJT\100018
6 · The paper itself

Abstract

Over 60% of cancer diagnoses in the UK are in patients aged 65 and over. Cancer diagnosis and treatment in older adults is complicated by the presence of frailty, which is associated with lower survival rates and poorer quality of life. This population-based cohort study used a longitudinal database to calculate the time between presentation to primary care with a symptom suspicious of cancer and a confirmed cancer diagnosis for 7460 patients in the Bradford District. Individual frailty scores were calculated using the electronic frailty index (eFI) and categorised by severity. The median time from symptomatic presentation to cancer diagnosis for all patients was 48 days (IQR 21-142). 23% of the cohort had some degree of frailty. After adjustment for potential confounders, mild frailty added 7 days (95% CI 3-11), moderate frailty 23 days (95% CI 4-42) and severe frailty 11 days (95% CI -27-48) to the median time to diagnosis compared to not frail patients. Our findings support use of the eFI in primary care to identify and address patient, healthcare and system factors that may contribute to diagnostic delay. We recommend further research to explore patient and clinician factors when investigating cancer in frail patients.

Indexed as

cancerdiagnosisfrailtyolder ageprimary care

Identifiers

PMID36428757
PMCPMC9688630

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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.