Evidence map›Paper›PMID 28827254›Full record

SynthesisBMJ open2017

Distinguishing variation in referral accuracy from referral threshold: analysis of a national dataset of referrals for suspected cancer.

Christopher D Burton, David J McLernon, Amanda J Lee, Peter Murchie

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022
    Pooled it
  2. Determinants of Physicians' Referrals for Suspected Cancer Given a Risk-Prediction Algorithm: Linking Signal Detection and Fuzzy Trace Theory.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
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  7. Association between use of urgent suspected cancer referral and mortality and stage at diagnosis: a 5-year national cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Article
  8. Abdominal symptoms and cancer in the abdomen: prospective cohort study in European primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    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

4 authors at 2 institutions in 1 country.

Christopher D BurtonAcademic Unit for Primary Medical Care, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0003-0233-2431
David J McLernonInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Amanda J LeeInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Peter MurchieInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
University of Aberdeen · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo distinguish between variation in referral threshold and variation in accurate selection of patients for referral in fast-track referrals for possible cancer. To examine factors associated with threshold and accuracy and model the effects of changing thresholds.

designAnalysis of national data on cancer referrals from general practices in England over a 5-year period. We developed a new method to estimate specificity of referral to complement existing sensitivity. We used bivariate meta-analysis to produce summary measures and described practices in relation to these.

setting5479 general practitioner (GP) practices with data relating to more than 50 cancer cases diagnosed over the 5 years. OUTCOMES: Number of practices whose 95% confidence regions for sensitivity and specificity indicated that they were outliers in terms of either referral threshold or decision accuracy.

results2019 practices (36.8%) were outliers in relation to referral threshold compared with 1205 practices (22%) in relation to decision accuracy. Practice age profile, cancer incidence and deprivation showed a modest association with decision accuracy but not with thresholds. If all practices shared the referral behaviour of those in the highest quintile of age-standardised referral rate, there would be a 3.3% increase in cancers detected through fast-track pathways at the cost of a 36.9% increase in urgent referrals.

conclusionThis new method permits variation in referral to be described more precisely and quality improvement activities to be targeted. Changing referral thresholds without increasing accuracy will result in modest effects on detection rates and a large increase in demand on diagnostic services.

Indexed as

AgedAged, 80 and overEnglandFemaleGeneral PracticeHumansIncidenceMaleNeoplasmsPractice Patterns, Physicians'Referral and ConsultationROC Curvebivariate meta-analysiscancergeneral practiceprimary carereferralvariation

Identifiers

PMID28827254
PMCPMC5629656
OpenAlexW2748789486

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.