Evidence map›Paper›PMID 33466406›Full record

ArticleCancers2021

Prolonged Diagnostic Intervals as Marker of Missed Diagnostic Opportunities in Bladder and Kidney Cancer Patients with Alarm Features: A Longitudinal Linked Data Study.

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

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Risk prediction models for symptomatic patients with bladder and kidney cancer: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. The microbiota and renal cell carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2024
    Review
  7. Article
  8. 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
  9. 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 at 4 institutions in 2 countries.

Yin ZhouPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0002-8815-1457
Fiona M WalterPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Worts' Causeway, Cambridge CB1 8RN, UK.ORCID 0000-0002-7191-6476
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX 77030, USA.
William HamiltonCollege of Medicine and Health, University of Exeter Medical School (Primary Care), Exeter EX1 1TX, UK.ORCID 0000-0003-1611-1373
Gary A AbelCollege of Medicine and Health, University of Exeter Medical School (Primary Care), Exeter EX1 1TX, UK.
Georgios LyratzopoulosEpidemiology of Cancer Healthcare and Outcomes (ECHO) Research Group, Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK.ORCID 0000-0002-2873-7421
University of Cambridge · GBUniversity of Exeter · GBMichael E. DeBakey VA Medical Center · USUniversity College London · GB

Funding

Cancer Research UK 18180Cancer Research UK C18081/A18180Cancer Research UK C8640/A23385Wellcome Trust 203921/Z/16/Z
6 · The paper itself

Abstract

backgroundIn England, patients who meet National Institute for Health and Care Excellence (NICE) guideline criteria for suspected cancer should receive a specialist assessment within 14 days. We examined how quickly bladder and kidney cancer patients who met fast-track referral criteria were actually diagnosed.

methodsWe used linked primary care and cancer registration data on bladder and kidney cancer patients who met fast-track referral criteria and examined the time from their first presentation with alarm features to diagnosis. Using logistic regression we examined factors most likely to be associated with non-timely diagnosis (defined as intervals exceeding 90 days), adjusting for age, sex and cancer type, positing that such occurrences represent missed opportunity for timely referral, possibly due to sub-optimal guideline adherence.

results28%, 42% and 31% of all urological cancer patients reported no, one or two or more relevant symptoms respectively in the year before diagnosis. Of the 2105 patients with alarm features warranting fast-track assessment, 1373 (65%) presented with unexplained haematuria, 382 (18%) with recurrent urinary tract infections (UTIs), 303 (14%) with visible haematuria, and 45 (2%) with an abdominal mass. 27% overall, and 24%, 45%, 18% and 27% of each group respectively, had a non-timely diagnosis. Presentation with recurrent UTI was associated with longest median diagnostic interval (median 83 days, IQR 43-151) and visible haematuria with the shortest (median 50 days, IQR 30-79). After adjustment, presentation with recurrent UTIs, being in the youngest or oldest age group, female sex, and diagnosis of kidney and upper tract urothelial cancer, were associated with greater odds of non-timely diagnosis.

conclusionMore than a quarter of patients presenting with fast-track referral features did not achieve a timely diagnosis, suggesting inadequate guideline adherence for some patients. The findings highlight a substantial number of opportunities for expediting the diagnosis of patients with bladder or kidney cancers.

Indexed as

bladder cancerdiagnostic timelinessearly diagnosiskidney cancermissed opportunity

Identifiers

PMID33466406
PMCPMC7796444
OpenAlexW3120041633

What OpenQuestion holds

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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.