Evidence map›Paper›PMID 32334389›Full record

ArticleCancer epidemiology2020

Imaging activity possibly signalling missed diagnostic opportunities in bladder and kidney cancer: A longitudinal data-linkage study using primary care electronic health records.

Yin Zhou, Gary A Abel, William Hamilton, Hardeep Singh, Fiona M Walter, Georgios Lyratzopoulos

Abstract read
In one paragraph

Article in Cancer epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic windows in non-neoplastic diseases: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Pooled it
  2. Prediagnostic prescription patterns in pancreatic cancer: a retrospective primary care cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  3. Prediagnostic primary care consultations and imaging in emergency-diagnosed versus referred patients with lung cancer: a population-based linked data study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Identifying opportunities for timely diagnosis of bladder and renal cancer via abnormal blood tests: a longitudinal linked data study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Article
  11. 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

6 authors.

Yin ZhouPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. Electronic address: ykz21@medschl.cam.ac.uk.
Gary A AbelCollege of Medicine and Health, University of Exeter Medical School (Primary Care), Exeter, UK.
William HamiltonCollege of Medicine and Health, University of Exeter Medical School (Primary Care), Exeter, UK.
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX, USA.
Fiona M WalterPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Georgios LyratzopoulosEpidemiology of Cancer Healthcare and Outcomes (ECHO) Research Group, Department of Behavioural Science and Health, University College London, London, UK.

Funding

Decision Making and Clinical Work of Test Result Follow-up in Health IT SettingsR01HS022087 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2013 to 2016
$2.0M
AHRQ HHS R01 HS022087Cancer Research UK 18180Cancer Research UK C18081/A18180Cancer Research UK C8640/A23385Wellcome Trust 203921/Z/16/Z
6 · The paper itself

Abstract

introductionSub-optimal use or interpretation of imaging investigations prior to diagnosis of certain cancers may be associated with less timely diagnosis, but pre-diagnostic imaging activity for urological cancer is unknown.

methodWe analysed linked data derived from primary and secondary care records and cancer registration to evaluate the use of clinically relevant imaging tests pre-diagnosis, in patients with bladder and kidney cancer diagnosed in 2012-15 in England. As pre-diagnostic imaging activity increased from background rate 8 months pre-diagnosis, we used logistic regression to determine factors associated with first imaging test occurring 4-8 months pre-diagnosis, considering that such instances may reflect possible missed opportunities for expediting the diagnosis.

results1963 patients with bladder or kidney cancer had at least one imaging test in the 8 months pre-diagnosis. 420 (21%) of patients had their first imaging test 4-8 months pre-diagnosis, that being ultrasound, CT and X-ray in 48%, 43% and 9% of those cases, respectively. Factors associated with greater risk of a first imaging test 4-8 months pre-diagnosis were kidney cancer, diagnosis at stages other than stage IV, first imaging having been an X-ray, test requested by GP and absence of haematuria before the imaging request.

conclusionAbout 1 in 5 patients with urological cancers receive relevant first imaging investigations 4-8 months prior to diagnosis, which may represent potential missed diagnostic opportunities for earlier diagnosis.

Indexed as

AdultElectronic Health RecordsFemaleHumansKidney NeoplasmsLongitudinal StudiesMalePrimary Health CareUrinary Bladder NeoplasmsBladder cancerDiagnostic delayEarly diagnosisImaging testKidney cancer

Identifiers

PMID32334389
PMCPMC7294227

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Registered trials

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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.