Evidence map›Paper›PMID 26514369›Full record

ArticleBMC cancer2015

For which cancers might patients benefit most from expedited symptomatic diagnosis? Construction of a ranking order by a modified Delphi technique.

Willie Hamilton, Sally Stapley, Christine Campbell, Georgios Lyratzopoulos, Greg Rubin, Richard D Neal

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.6field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Fivefold Cross-Validation Approach in Evaluating the Robustness of Machine Learning Models for Prediction of Esophageal Cancer.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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  8. Recognising Skin Cancer in Primary Care.Advances in therapy · 2020
    Article
  9. Article
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  11. Diagnosing adult primary brain tumours: can we do better?The British journal of general practice : the journal of the Royal College of General Practitioners · 2017
    Article
  12. Improving early diagnosis of symptomatic cancer.Nature reviews. Clinical oncology · 2016
    Review
  13. 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 5 institutions in 1 country.

Willie HamiltonUniversity of Exeter, College House, St Luke's Campus, Exeter, EX2 4TE, UK. w.hamilton@exeter.ac.uk.
Sally StapleyUniversity of Exeter, College House, St Luke's Campus, Exeter, EX2 4TE, UK. s.a.stapley@exeter.ac.uk.
Christine CampbellCentre for Population Health Sciences, The University of Edinburgh, Medical Quad, Teviot Place, Edinburgh, EH8 9AG, UK. Christine.campbell@ed.ac.uk.
Georgios LyratzopoulosCambridge Centre for Health Services Research, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK. y.lyratzopoulos@ucl.ac.uk.
Greg RubinDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. g.p.rubin@durham.ac.uk.
Richard D NealSchool of Medicine, Pharmacy and Health, University of Durham, Wolfson Research Institute, Queen's Campus, Stockton on Tees, TS17 6BH, UK. r.neal@bangor.ac.uk.
University of Exeter · GBBangor University · GBUniversity College London · GBUniversity of Cambridge · GBUniversity of Edinburgh · GB

Funding

Cancer Research UK 18180
6 · The paper itself

Abstract

backgroundThis study aimed to answer the question 'for which cancers, in a symptomatic patient, does expediting the diagnosis provide an improvement in mortality and/or morbidity?'

methodsAn initial ranking was constructed from previous work identifying 'avoidable deaths' for 21 common cancers in the UK. In a two-round modified Delphi exercise, 22 experts, all experienced across multiple cancers, used an evidence pack summarising recent relevant publications and their own experience to adjust this ranking. Participants also answered on a Likert scale whether they anticipated mortality or morbidity benefits for each cancer from expedited diagnosis.

resultsSubstantial changes in ranking occurred in the Delphi exercise. Finally, expedited diagnosis was judged to provide the greatest mortality benefit in breast cancer, uterine cancer and melanoma, and least in brain and pancreatic cancers. Three cancers, prostate, brain and pancreas, attracted a median answer of 'disagree' to whether they expected mortality benefits from expedited diagnosis of symptomatic cancer.

conclusionsOur results can guide future research, with emphasis given to studying interventions to improve symptomatic diagnosis of those cancers ranked highly. In contrast, research efforts for cancers with the lowest rankings could be re-directed towards alternative avenues more likely to yield benefit, such as screening or treatment.

Indexed as

Delphi TechniqueFemaleHumansMaleMorbidityMortalityNeoplasmsPrognosisUnited Kingdom

Identifiers

PMID26514369
PMCPMC4627396
OpenAlexW1897784500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.