Evidence map›Paper›PMID 26682019›Full record

ArticleKorean journal of urology2015

Multiple cores of high grade prostatic intraepithelial neoplasia and any core of atypia on first biopsy are significant predictor for cancer detection at a repeat biopsy.

Tae Sun Kim, Kwang Jin Ko, Seung Jea Shin, Hyun Soo Ryoo, Wan Song, Hyun Hwan Sung, Deok Hyun Han, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon and 5 more

Abstract read
In one paragraph

Article in Korean journal of urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

15 authors.

Tae Sun KimDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kwang Jin KoDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seung Jea ShinDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyun Soo RyooDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Wan SongDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyun Hwan SungDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Deok Hyun HanDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Byong Chang JeongDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seong Il SeoDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seong Soo JeonDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kyu Sung LeeDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sung Won LeeDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyun Moo LeeDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Han Yong ChoiDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hwang Gyun JeonDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the differences in the cancer detection rate and pathological findings on a second prostate biopsy according to benign diagnosis, high-grade prostatic intraepithelial neoplasia (HGPIN), and atypical small acinar proliferation (ASAP) on first biopsy. MATERIALS AND

methodsWe retrospectively reviewed the records of 1,323 patients who underwent a second prostate biopsy between March 1995 and November 2012. We divided the patients into three groups according to the pathologic findings on the first biopsy (benign diagnosis, HGPIN, and ASAP). We compared the cancer detection rate and Gleason scores on second biopsy and the unfavorable disease rate after radical prostatectomy among the three groups.

resultsA total of 214 patients (16.2%) were diagnosed with prostate cancer on a second biopsy. The rate of cancer detection was 14.6% in the benign diagnosis group, 22.1% in the HGPIN group, and 32.1% in the ASAP group, respectively (p<0.001). When patients were divided into subgroups according to the number of positive cores, the rate of cancer detection was 16.7%, 30.5%, 31.0%, and 36.4% in patients with a single core of HGPIN, more than one core of HGPIN, a single core of ASAP, and more than one core of ASAP, respectively. There were no significant differences in Gleason scores on second biopsy (p=0.324) or in the unfavorable disease rate after radical prostatectomy among the three groups (benign diagnosis vs. HGPIN, p=0.857, and benign diagnosis vs. ASAP, p=0.957, respectively).

conclusionsPatients with multiple cores of HGPIN or any core number of ASAP on a first biopsy had a significantly higher cancer detection rate on a second biopsy. Repeat biopsy should be considered and not be delayed in those patients.

Indexed as

AgedBiopsy, NeedleHumansKallikreinsMaleMiddle AgedNeoplasm GradingPrecancerous ConditionsPredictive Value of TestsProstatectomyProstate-Specific AntigenProstatic Intraepithelial NeoplasiaProstatic NeoplasmsRetrospective StudiesKallikreinsKLK3 protein, humanProstate-Specific AntigenBiopsyProstate neoplasmsProstatic intraepithelial neoplasia

Identifiers

PMID26682019
PMCPMC4681756

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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.