Evidence map›Paper›PMID 38100737›Full record

ArticlePLOS digital health2023

Phenotypes and rates of cancer-relevant symptoms and tests in the year before cancer diagnosis in UK Biobank and CPRD Gold.

Matthew Barclay, Cristina Renzi, Antonis Antoniou, Spiros Denaxas, Hannah Harrison, Samantha Ip, Nora Pashayan, Ana Torralbo, Juliet Usher-Smith, Angela Wood and 1 more

Abstract read
In one paragraph

Article in PLOS digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Matthew BarclayDepartment of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1148-1922
Cristina RenziDepartment of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom.
Antonis AntoniouDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Spiros DenaxasInstitute of Health Informatics, University College London, London, United Kingdom.
Hannah HarrisonDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Samantha IpDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Nora PashayanDepartment of Applied Health Research, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom.
Ana TorralboInstitute of Health Informatics, University College London, London, United Kingdom.
Juliet Usher-SmithDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-8501-2531
Angela WoodDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Georgios LyratzopoulosDepartment of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom.

Funding

Cancer Research UK 18180Cancer Research UK 31373
6 · The paper itself

Abstract

Early diagnosis of cancer relies on accurate assessment of cancer risk in patients presenting with symptoms, when screening is not appropriate. But recorded symptoms in cancer patients pre-diagnosis may vary between different sources of electronic health records (EHRs), either genuinely or due to differential completeness of symptom recording. To assess possible differences, we analysed primary care EHRs in the year pre-diagnosis of cancer in UK Biobank and Clinical Practice Research Datalink (CPRD) populations linked to cancer registry data. We developed harmonised phenotypes in Read v2 and CTV3 coding systems for 21 symptoms and eight blood tests relevant to cancer diagnosis. Among 22,601 CPRD and 11,594 UK Biobank cancer patients, 54% and 36%, respectively, had at least one consultation for possible cancer symptoms recorded in the year before their diagnosis. Adjusted comparisons between datasets were made using multivariable Poisson models, comparing rates of symptoms/tests in CPRD against expected rates if cancer site-age-sex-deprivation associations were the same as in UK Biobank. UK Biobank cancer patients compared with those in CPRD had lower rates of consultation for possible cancer symptoms [RR: 0.61 (0.59-0.63)], and lower rates for any primary care consultation [RR: 0.86 (95%CI 0.85-0.87)]. Differences were larger for 'non-alarm' symptoms [RR: 0.54 (0.52-0.56)], and smaller for 'alarm' symptoms [RR: 0.80 (0.76-0.84)] and blood tests [RR: 0.93 (0.90-0.95)]. In the CPRD cohort, approximately representative of the UK population, half of cancer patients had recorded symptoms in the year before diagnosis. The frequency of non-specific presenting symptoms recorded in the year pre-diagnosis of cancer was substantially lower among UK Biobank participants. The degree to which results based on highly selected biobank cohorts are generalisable needs to be examined in disease-specific contexts.

Identifiers

PMID38100737
PMCPMC10723831

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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.