Evidence map›Paper›PMID 27748407›Full record

ArticleScientific reports2016

The Prostate Health Index adds predictive value to multi-parametric MRI in detecting significant prostate cancers in a repeat biopsy population.

V J Gnanapragasam, K Burling, A George, S Stearn, A Warren, T Barrett, B Koo, F A Gallagher, A Doble, C Kastner and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Utility of Combining Prostate Health Index and Magnetic Resonance Imaging for the Diagnosis of Prostate Cancer.International journal of urology : official journal of the Japanese Urological Association · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Observational
  19. Nomograms in Urologic Oncology: Lights and Shadows.Journal of clinical medicine · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

V J GnanapragasamAcademic Urology Group, University of Cambridge, Box 279 (S4) Cambridge Biomedical Campus Cambridge CB2 0QQ, UK.
K BurlingCore Biochemical Assay Laboratory, Cambridge University Hospitals Trust, Cambridge CB2 0QQ UK.
A GeorgeAcademic Urology Group, University of Cambridge, Box 279 (S4) Cambridge Biomedical Campus Cambridge CB2 0QQ, UK.
S StearnAcademic Urology Group, University of Cambridge, Box 279 (S4) Cambridge Biomedical Campus Cambridge CB2 0QQ, UK.
A WarrenDepartment of Pathology, Cambridge University Hospitals Trust,Cambridge CB2 0QQ UK.
T BarrettDepartment of Radiology, University of Cambridge, Cambridge CB2 0QQ UK.
B KooDepartment of Radiology, University of Cambridge, Cambridge CB2 0QQ UK.
F A GallagherDepartment of Radiology, University of Cambridge, Cambridge CB2 0QQ UK.
A DobleCamPARI Clinic, Box 41, Clinic 4A, Cambridge University Hospitals Trust, Cambridge CB2 0QQ UK.
C KastnerCamPARI Clinic, Box 41, Clinic 4A, Cambridge University Hospitals Trust, Cambridge CB2 0QQ UK.
R A ParkerEdinburgh Clinical Trials Unit University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh EH89AG UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both multi-parametric MRI (mpMRI) and the Prostate Health Index (PHI) have shown promise in predicting a positive biopsy in men with suspected prostate cancer. Here we investigated the value of combining both tests in men requiring a repeat biopsy. PHI scores were measured in men undergoing re-biopsy with an mpMRI image-guided transperineal approach (n = 279, 94 with negative mpMRIs). The PHI was assessed for ability to add value to mpMRI in predicting all or only significant cancers (Gleason ≥7). In this study adding PHI to mpMRI improved overall and significant cancer prediction (AUC 0.71 and 0.75) compared to mpMRI + PSA alone (AUC 0.64 and 0.69 respectively). At a threshold of ≥35, PHI + mpMRI demonstrated a NPV of 0.97 for excluding significant tumours. In mpMRI negative men, the PHI again improved prediction of significant cancers; AUC 0.76 vs 0.63 (mpMRI + PSA). Using a PHI≥35, only 1/21 significant cancers was missed and 31/73 (42%) men potentially spared a re-biopsy (NPV of 0.97, sensitivity 0.95). Decision curve analysis demonstrated clinically relevant utility of the PHI across threshold probabilities of 5-30%. In summary, the PHI adds predictive performance to image-guided detection of clinically significant cancers and has particular value in determining re-biopsy need in men with a negative mpMRI.

Indexed as

Magnetic Resonance ImagingAgedAged, 80 and overArea Under CurveBiomarkers, TumorBiopsyHumansMaleMiddle AgedPredictive Value of TestsProbabilityProspective StudiesProstateProstatic NeoplasmsReproducibility of ResultsBiomarkers, Tumor

Identifiers

PMID27748407
PMCPMC5066204

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.