Evidence map›Paper›PMID 32299423›Full record

ArticleBMC medicine2020

Clinical utility and cost modelling of the phi test to triage referrals into image-based diagnostic services for suspected prostate cancer: the PRIM (Phi to RefIne Mri) study.

Lois Kim, Nicholas Boxall, Anne George, Keith Burling, Pete Acher, Jonathan Aning, Stuart McCracken, Toby Page, Vincent J Gnanapragasam

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05438524 (The Performance of MRI Prostate in Men With Different Prostate Health Index), which is not on this map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
3.3field-weighted citation impact, top 6% 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.

NCT05438524 completednot on this mapstarted 2021, after this paper: background citation

The Performance of MRI Prostate in Men With Different Prostate Health Index (Phi) Values: Can we Save Some MRI Scans?

TypeobservationalSponsorChinese University of Hong KongRan2021 to 2024Enrolled159ConditionsProstate Cancer
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  4. Systematic Review of Cost-Effectiveness Models in Prostate Cancer: Exploring New Developments in Testing and Diagnosis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022
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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

9 authors at 6 institutions in 1 country.

Lois KimDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Nicholas BoxallDepartment of Urology, Cambridge University Hospitals Trust, Cambridge, UK.
Anne GeorgeUrological Malignancies Programme CRUK & Cambridge Urology Translational Research and Clinical Trials Office, University of Cambridge Box 193, Cambridge Biomedical Campus Cambridge CB20QQ, Cambridge, UK.
Keith BurlingNIHR Cambridge Biomedical Research Centre, Core Biochemical Assay Laboratory, University of Cambridge, Cambridge, UK.
Pete AcherDepartment of Urology, Southend Hospital, Essex, UK.
Jonathan AningDepartment of Urology, North Bristol NHS Trust, Bristol, UK.
Stuart McCrackenDepartment of Urology, South Tyneside and Sunderland NHS Trust, Sunderland, UK.
Toby PageDepartment of Urology, Newcastle Hospitals NHS Trust, Newcastle upon Tyne, UK.
Vincent J GnanapragasamDepartment of Urology, Cambridge University Hospitals Trust, Cambridge, UK. vjg29@cam.ac.uk.
University of Cambridge · GBCambridge University Hospitals NHS Foundation Trust · GBNewcastle upon Tyne Hospital · GBNorth Bristol NHS Trust · GBSouthend Hospital · GBSouth Tyneside and Sunderland NHS Foundation Trust · GB

Funding

Addenbrooke's Charitable Trust, Cambridge University Hospitals 900123
6 · The paper itself

Abstract

backgroundThe clinical pathway to detect and diagnose prostate cancer has been revolutionised by the use of multiparametric MRI (mpMRI pre-biopsy). mpMRI however remains a resource-intensive test and is highly operator dependent with variable effectiveness with regard to its negative predictive value. Here we tested the use of the phi assay in standard clinical practice to pre-select men at the highest risk of harbouring significant cancer and hence refine the use of mpMRI and biopsies.

methodsA prospective five-centre study recruited men being investigated through an mpMRI-based prostate cancer diagnostic pathway. Test statistics for PSA, PSA density (PSAd) and phi were assessed for detecting significant cancers using 2 definitions: ≥ Grade Group (GG2) and ≥ Cambridge Prognostic Groups (CPG) 3. Cost modelling and decision curve analysis (DCA) was simultaneously performed.

resultsA total of 545 men were recruited and studied with a median age, PSA and phi of 66 years, 8.0 ng/ml and 44 respectively. Overall, ≥ GG2 and ≥ CPG3 cancer detection rates were 64% (349/545), 47% (256/545) and 32% (174/545) respectively. There was no difference across centres for patient demographics or cancer detection rates. The overall area under the curve (AUC) for predicting ≥ GG2 cancers was 0.70 for PSA and 0.82 for phi. AUCs for ≥ CPG3 cancers were 0.81 and 0.87 for PSA and phi respectively. AUC values for phi did not differ between centres suggesting reliability of the test in different diagnostic settings. Pre-referral phi cut-offs between 20 and 30 had NPVs of 0.85-0.90 for ≥ GG2 cancers and 0.94-1.0 for ≥ CPG3 cancers. A strategy of mpMRI in all and biopsy only positive lesions reduced unnecessary biopsies by 35% but missed 9% of ≥ GG2 and 5% of ≥ CPG3 cancers. Using PH ≥ 30 to rule out referrals missed 8% and 5% of ≥ GG2 and ≥ CPG3 cancers (and reduced unnecessary biopsies by 40%). This was achieved however with 25% fewer mpMRI. Pathways incorporating PSAd missed fewer cancers but necessitated more unnecessary biopsies. The phi strategy had the lowest mean costs with DCA demonstrating net clinical benefit over a range of thresholds.

conclusionphi as a triaging test may be an effective way to reduce mpMRI and biopsies without compromising detection of significant prostate cancers.

Indexed as

AgedCosts and Cost AnalysisDiagnostic ServicesHumansMagnetic Resonance ImagingMaleProspective StudiesProstatic NeoplasmsReferral and ConsultationTriageBiopsyCambridge prognostic groupsmpMRIProstate cancerProstate health index (phi)

Identifiers

PMID32299423
PMCPMC7164355
OpenAlexW3015431020

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.