Evidence map›Paper›PMID 25697295›Full record

ArticleThe British journal of radiology2015

Diagnostic triage for sarcoma: an effective model for reducing referrals to the sarcoma multidisciplinary team.

A Shah, R Botchu, R U Ashford, W J Rennie

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

A Shah1 Department of Radiology, University Hospitals of Leicester, Leicester, UK.
R Botchu
R U Ashford
W J Rennie
University Hospitals of Leicester NHS Trust · GBRoyal Orthopaedic Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSoft-tissue lesions are common and often benign. Owing to the rarity of soft-tissue sarcomas (STSs), evidence has shown that patients are increasingly referred urgently onto the 2-week wait pathway, which may have a detrimental impact on the management of patients with a proven STS. Imaging plays a vital role in lesion characterization and can be used to triage referrals to reduce the caseload of a sarcoma multidisciplinary team (MDT). In our institution, we established a sarcoma diagnostic triage meeting (SDTM). This study aimed to determine the effectiveness of the SDTM in reducing non-sarcomatous referrals to the main sarcoma MDT.

methodsA retrospective review of the SDTM minutes from July 2011 to June 2012 was performed. Data collected for each case included details of referrer, referral modality and referral outcome.

results165 cases were reviewed. 58% of referrals underwent a core biopsy or surgical excision with 85% benign pathology, the commonest being lipoma. 15% of referrals were sarcomatous lesions and were referred onwards to the main MDT.

conclusionA total of 82% of the patients referred urgently with a suspicious soft-tissue mass was managed by the SDTM and hence not referred onwards to the East Midlands Sarcoma Service MDT. A diagnostic triage is effective in reducing the caseload burden of the main MDT and allowing it to be more effective. ADVANCES IN KNOWLEDGE: Referrals based on imaging can be prioritized by diagnostic triage. Diagnostic triage established in our institution reduced 82% of MDT referrals allowing a more focused MDT discussion on patients with a proven sarcoma.

Indexed as

Referral and ConsultationBiopsyEarly DiagnosisGuideline AdherenceHealth Services ResearchHumansPatient Care TeamRetrospective StudiesSarcomaState MedicineTriageUnited Kingdom

Identifiers

PMID25697295
PMCPMC4628487
OpenAlexW2166991405

What OpenQuestion holds

Textmetadata
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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.