Evidence map›Paper›PMID 17117181›Full record

ArticleBritish journal of cancer2006

Evidence-based guidelines and decision support services: A discussion and evaluation in triple assessment of suspected breast cancer.

V Patkar, C Hurt, R Steele, S Love, A Purushotham, M Williams, R Thomson, J Fox

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05355727 (PROSAIC-DS), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 7% 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.

NCT05355727 naunknown statusnot on this mapstarted 2022, after this paper: background citation

PROSAIC-DS (PROState AI in Cancer - Decision Support): Evaluation of the Deontics AI Platform for Evidence-based Treatment Planning in Multidisciplinary Cancer Care: Increasing Compliance and Streamlining MDTs in Prostate Cancer

TypeinterventionalSponsorGuy's and St Thomas' NHS Foundation TrustRan2022 to 2022Enrolled1,040ConditionsProstate CancerArmsClinical decision support tool recommended outcome
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  11. From practice guidelines to clinical decision support: closing the loop.Journal of the Royal Society of Medicine · 2009
    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

8 authors at 2 institutions in 1 country.

V PatkarAdvanced Computation Laboratory, Cancer Research UK, London WC2A 3PX, UK. vp@acl.icnet.uk
C Hurt
R Steele
S Love
A Purushotham
M Williams
R Thomson
J Fox
Cancer Research UK · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Widespread health service goals to improve consistency and safety in patient care have prompted considerable investment in the development of evidence-based clinical guidelines. Computerised decision support (CDS) systems have been proposed as a means to implement guidelines in practice. This paper discusses the general concept in oncology and presents an evaluation of a CDS system to support triple assessment (TA) in breast cancer care. Balanced-block crossover experiment and questionnaire study. One stop clinic for symptomatic breast patients. Twenty-four practising breast clinicians from United Kingdom National Health Service hospitals. A web-based CDS system. Clinicians made significantly more deviations from guideline recommendations without decision support (60 out of 120 errors without CDS; 16 out of 120 errors with CDS, P < 0.001). Ignoring minor deviations, 16 potentially critical errors arose in the no-decision-support arm of the trial compared with just one (P = 0.001) when decision support was available. Opinions of participating clinicians towards the CDS tool became more positive after they had used it (P < 0.025). The use of decision support capabilities in TA may yield significant measurable benefits for quality and safety of patient care. This is an important option for improving compliance with evidence-based practice guidelines.

Indexed as

Decision Making, Computer-AssistedPractice Guidelines as TopicBreast NeoplasmsCross-Over StudiesEvidence-Based MedicineFemaleHumans

Identifiers

PMID17117181
PMCPMC2360742
OpenAlexW2083303268

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.