Evidence map›Paper›PMID 34849768›Full record

ArticleFamily practice2022

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

Minjoung M Koo, Ruth Swann, Sean McPhail, Gary A Abel, Cristina Renzi, Greg P Rubin, Georgios Lyratzopoulos

Abstract read
In one paragraph

Article in Family practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Minjoung M KooEpidemiology of Cancer Healthcare Outcomes (ECHO) Research Group, Research Department of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0001-9832-9872
Ruth SwannEpidemiology of Cancer Healthcare Outcomes (ECHO) Research Group, Research Department of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0003-3789-4979
Sean McPhailNational Disease Registration Service, NHS Digital, Leeds, West Yorkshire, United Kingdom.
Gary A AbelInstitute of Health Research, University of Exeter Medical School, St Luke's Campus, Exeter, United Kingdom.ORCID 0000-0003-2231-5161
Cristina RenziEpidemiology of Cancer Healthcare Outcomes (ECHO) Research Group, Research Department of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0003-3845-9493
Greg P RubinPopulation Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.ORCID 0000-0002-4967-0297
Georgios LyratzopoulosEpidemiology of Cancer Healthcare Outcomes (ECHO) Research Group, Research Department of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0002-2873-7421

Funding

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

Abstract

backgroundThere is uncertainty regarding how pre-existing conditions (morbidities) may influence the primary care investigation and management of individuals subsequently diagnosed with cancer.

methodsWe identified morbidities using information from both primary and secondary care records among 11,716 patients included in the English National Cancer Diagnosis Audit (NCDA) 2014. We examined variation in 5 measures of the diagnostic process (the primary care interval, diagnostic interval, number of pre-referral consultations, use of primary care-led investigations, and referral type) by both primary care- and hospital records-derived measures of morbidity.

resultsMorbidity prevalence recorded before cancer diagnosis was almost threefold greater using the primary care (75%) vs secondary care-derived measure (28%). After adjustment, there was limited variation in the primary care interval and the number of pre-referral consultations by either definition of morbidity. Patients with more severe morbidities were less likely to have had a primary care-led investigation before cancer diagnosis compared with those without any morbidity (adjusted odds ratio, OR [95% confidence interval]: 0.72 [0.60-0.86] for Charlson score 3+ vs 0; joint P < 0.001). Patients with multiple primary care-recorded conditions or a Charlson score of 3+ were more likely to have diagnostic intervals exceeding 60 days (aOR: 1.26 [1.10-1.45] and 1.19 [>1.00-1.41], respectively), and more likely to receive an emergency referral (aOR: 1.60 [1.26-2.02] and 1.61 [1.26-2.06], respectively).

conclusionAmong cancer cases with up to 2 morbidities, there was no evidence of differences in diagnostic processes and intervals in primary care but higher morbidity burden was associated with longer time to diagnosis and higher likelihood of emergency referral.

Indexed as

NeoplasmsHumansMorbidityPrimary Health CareReferral and Consultationcancerchronic diseasediagnosismultimorbidityprimary carerisk assessment

Identifiers

PMID34849768
PMCPMC9295610

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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.