Evidence map›Paper›PMID 33471165›Full record

ArticleWorld journal of urology2021

PHI density prospectively improves prostate cancer detection.

Carsten Stephan, Klaus Jung, Michael Lein, Hannah Rochow, Frank Friedersdorff, Andreas Maxeiner

Open access · hybridAbstract readComparative Study
In one paragraph

Article in World journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Article
  7. 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
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  9. Review
  10. Article
  11. Article
  12. 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

6 authors at 3 institutions in 1 country.

Carsten StephanDepartment of Urology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany. carsten.stephan@charite.de.
Klaus JungDepartment of Urology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Michael LeinDepartment of Urology, Sana Hospital, Offenbach, Germany.
Hannah RochowDepartment of Urology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Frank FriedersdorffDepartment of Urology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Andreas MaxeinerDepartment of Urology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Freie Universität Berlin · DECharité - Universitätsmedizin Berlin · DESana Klinikum Offenbach · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the Prostate Health Index (PHI) density (PHID) in direct comparison with PHI in a prospective large cohort.

methodsPHID values were calculated from prostate-specific antigen (PSA), free PSA and [- 2]proPSA and prostate volume. The 1057 patients included 552 men with prostate cancer (PCa) and 505 with no evidence of malignancy (NEM). In detail, 562 patients were biopsied at the Charité Hospital Berlin and 495 patients at the Sana Hospital Offenbach. All patients received systematic or magnetic resonance imaging (MRI)/ultrasound fusion-guided biopsies. The diagnostic accuracy was evaluated by receiver operating characteristic (ROC) curves comparing areas under the ROC-curves (AUC). The decision curve analysis (DCA) was performed with the MATLAB Neural Network Toolbox.

resultsPHID provided a significant larger AUC than PHI (0.835 vs. 0.801; p = 0.0013) in our prospective cohort of 1057 men from 2 centers. The DCA had a maximum net benefit of ~ 5% for PHID vs. PHI between 35 and 65% threshold probability. In those 698 men within the WHO-calibrated PSA grey-zone up to 8 ng/ml, PHID was also significantly better than PHI (AUC 0.819 vs. 0.789; p = 0.0219). But PHID was not different from PHI in the detection of significant PCa.

conclusionsBased on ROC analysis and DCA, PHID had an advantage in comparison with PHI alone to detect any PCa but PHI and PHID performed equal in detecting significant PCa.

Indexed as

AgedHumansMaleMiddle AgedProspective StudiesProstateProstate-Specific AntigenProstatic NeoplasmsTumor BurdenProstate-Specific AntigenDecision curve analysis (DCA)PHI density (PHID)Prostate cancerProstate health index (PHI)

Identifiers

PMID33471165
PMCPMC8510982
OpenAlexW3125619304

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.