Evidence map›Paper›PMID 29504080›Full record

ArticleJournal of cancer research and clinical oncology2018

Can Prostate Imaging Reporting and Data System Version 2 reduce unnecessary prostate biopsies in men with PSA levels of 4-10 ng/ml?

Ning Xu, Yu-Peng Wu, Dong-Ning Chen, Zhi-Bin Ke, Hai Cai, Yong Wei, Qing-Shui Zheng, Jin-Bei Huang, Xiao-Dong Li, Xue-Yi Xue

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
–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

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

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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

10 authors.

Ning XuDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Yu-Peng WuDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Dong-Ning ChenDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Zhi-Bin KeDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Hai CaiDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Yong WeiDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Qing-Shui ZhengDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Jin-Bei HuangDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
Xiao-Dong LiDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China. lixiaodong@fjmu.edu.cn.
Xue-Yi XueDepartment of Urology, First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China. xuexueyi@fjmu.edu.cn.ORCID http://orcid.org/0000-0002-6461-7435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the value of Prostate Imaging Reporting and Data System Version 2 (PI-RADS v2) for predicting prostate biopsy results in patients with prostate specific antigen (PSA) levels of 4-10 ng/ml.

methodsWe retrospectively reviewed multi-parameter magnetic resonance images from 528 patients with PSA levels of 4-10 ng/ml who underwent transrectal ultrasound-guided prostate biopsies between May 2015 and May 2017. Among them, 137 were diagnosed with prostate cancer (PCa), and we further subdivided them according to pathological results into the significant PCa (S-PCa) and insignificant significant PCa (Ins-PCa) groups (121 cases were defined by surgical pathological specimen and 16 by biopsy). Age, PSA, percent free PSA, PSA density (PSAD), prostate volume (PV), and PI-RADS score were collected. Logistic regression analysis was performed to determine predictors of pathological results. Receiver operating characteristic curves were constructed to analyze the diagnostic value of PI-RADS v2 in PCa.

resultsMultivariate analysis indicated that age, PV, percent free PSA, and PI-RADS score were independent predictors of biopsy findings, while only PI-RADS score was an independent predictor of S-PCa (P < 0.05). The areas under the receiver operating characteristic curve for diagnosing PCa with respect to age, PV, percent free PSA, and PI-RADS score were 0.570, 0.430, 0.589 and 0.836, respectively. The area under the curve for diagnosing S-PCa with respect to PI-RADS score was 0.732. A PI-RADS score of 3 was the best cutoff for predicting PCa, and 4 was the best cutoff for predicting S-PCa. Thus, 92.8% of patients with PI-RADS scores of 1-2 would have avoided biopsy, but at the cost of missing 2.2% of the potential PCa cases. Similarly, 83.82% of patients with a PI-RADS score ≤ 3 would have avoided biopsy, but at the cost of missing 3.3% of the potential S-PCa cases.

conclusionsPI-RADS v2 could be used to reduce unnecessary prostate biopsies in patients with PSA levels of 4-10 ng/ml.

Indexed as

AgedAged, 80 and overHumansImage-Guided BiopsyLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedMultivariate AnalysisPrognosisProstateProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesROC CurveProstate-Specific AntigenMpMRIPIRADSProstate biopsyProstate cancer

Identifiers

PMID29504080
PMCPMC11813405

What OpenQuestion holds

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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.