Evidence map›Paper›PMID 33674631›Full record

Observational studyScientific reports2021

The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer.

Yu-Hua Fan, Po-Hsun Pan, Wei-Ming Cheng, Hsin-Kai Wang, Shu-Huei Shen, Hsian-Tzu Liu, Hao-Min Cheng, Wei-Ren Chen, Tzu-Hao Huang, Tzu-Chun Wei and 6 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Yu-Hua Fan *Department of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Po-Hsun Pan *Department of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Wei-Ming ChengDepartment of Urology, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Hsin-Kai WangDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Shu-Huei ShenDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsian-Tzu LiuDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Hao-Min ChengCenter for Evidence-Based Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Wei-Ren ChenDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Tzu-Hao HuangDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Tzu-Chun WeiDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
I-Shen HuangDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Chih-Chieh LinDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Eric Y H HuangDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Hsiao-Jen ChungDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
William J S HuangDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan.
Tzu-Ping LinDepartment of Urology, Taipei Veterans General Hospital, No. 201, Section 2, Shipai Road, Taipei, 11217, Taiwan. tplin63@gmail.com.
National Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TWTaipei City Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the performance of the Prostate Health Index (PHI) in magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion prostate biopsy for the detection of clinically significant prostate cancer (csPCa). We prospectively enrolled 164 patients with at least one Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) ≥ 3 lesions who underwent MRI-TRUS fusion prostate biopsy. Of the PSA-derived biomarkers, the PHI had the best performance in predicting csPCa (AUC 0.792, CI 0.707-0.877) in patients with PI-RADS 4/5 lesions. Furthermore, the predictive power of PHI was even higher in the patients with PI-RADS 3 lesions (AUC 0.884, CI 0.792-0.976). To minimize missing csPCa, we used a PHI cutoff of 27 and 7.4% of patients with PI-RADS 4/5 lesions could have avoided a biopsy. At this level, 2.0% of cases with csPCa would have been missed, with sensitivity and NPV rates of 98.0% and 87.5%, respectively. However, the subgroup of PI-RADS 3 was too small to define the optimal PHI cutoff. PHI was the best PSA-derived biomarker to predict csPCa in MRI-TRUS fusion prostate biopsies in men with PI-RADS ≥ 3 lesions, especially for the patients with PI-RADS 3 lesions who gained the most value.

Indexed as

Magnetic Resonance ImagingAgedHumansMaleMiddle AgedProspective StudiesProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigen

Identifiers

PMID33674631
PMCPMC7935887
OpenAlexW3135484654

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.