Evidence map›Paper›PMID 35756615›Full record

ArticleFrontiers in oncology2022

The Application of Biopsy Density in Transperineal Templated-Guided Biopsy Patients With PI-RADS<3.

Hai Zhu, Xue-Fei Ding, Sheng-Ming Lu, Ning Ding, Shi-Yi Pi, Zhen Liu, Qin Xiao, Liang-Yong Zhu, Yang Luan, Yue-Xing Han and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
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

12 authors at 3 institutions in 1 country.

Hai ZhuDepartment of Urology, Northern Jiangsu People's Hospital, Yangzhou, China.
Xue-Fei DingDepartment of Urology, Northern Jiangsu People's Hospital, Yangzhou, China.
Sheng-Ming LuDepartment of Urology, Northern Jiangsu People's Hospital, Yangzhou, China.
Ning DingOperating Department, Northern Jiangsu People's Hospital, Yangzhou, China.
Shi-Yi PiGraduate School, Dalian Medical University, Dalian, China.
Zhen LiuDepartment of Urology, Northern Jiangsu People's Hospital, Yangzhou, China.
Qin XiaoPathology Department, Northern Jiangsu People's Hospital, Yangzhou, China.
Liang-Yong ZhuDepartment of Urology, Northern Jiangsu People's Hospital, Yangzhou, China.
Yang LuanDepartment of Urology, Northern Jiangsu People's Hospital, Yangzhou, China.
Yue-Xing HanGraduate School, Dalian Medical University, Dalian, China.
Hao-Peng ChenGraduate School, Dalian Medical University, Dalian, China.
Zhong LiuClinical Medical College, Yangzhou University, Yangzhou, China.
Northern Jiangsu People's Hospital · CNDalian Medical University · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In patients with multiparameter magnetic resonance imaging (mpMRI) low-possibility but highly clinical suspicion of prostate cancer, the biopsy core is unclear. Our study aims to introduce the biopsy density (BD; the ratio of biopsy cores to prostate volume) and investigates the BD-predictive value of prostate cancer and clinically significant prostate cancer (csPCa) in PI-RADS<3 patients. Methods: Patients underwent transperineal template-guided prostate biopsy from 2012 to 2022. The inclusion criteria were PI-RADS<3 with a positive digital rectal examination or persistent PSA abnormalities. BD was defined as the ratio of the biopsy core to the prostate volume. Clinical data were collected, and we grouped the patients according to pathology results. Kruskal-Wallis test and chi-square test were used in measurement and enumeration data, respectively. Logistics regression was used to choose the factor associated with positive biospy and csPCa. The receiver operating characteristic (ROC) curve was used to evaluate the ability to predict csPCa. Results: A total of 115 patients were included in our study. Biopsy was positive in 14 of 115 and the International Society of Urological Pathology grade groups 2-5 were in 7 of all the PCa patients. The BD was 0.38 (0.24-0.63) needles per milliliter. Binary logistics analysis suggested that PSAD and BD were correlated with positive biopsy. Meanwhile, BD and PSAD were associated with csPCa. The ROC curve illustrated that BD was a good parameter to predict csPCa (AUC=0.80, 95% CI: 0.69-0.91, p<0.05). The biopsy density combined with PSAD increased the prediction of csPCa (AUC=0.90, 95% CI: 0.85-0.97, p<0.05). The cut-off value of the BD was 0.42 according to the Youden index. Conclusion: In PI-RADS<3 patients, BD and PSAD are related to csPCa. A biopsy density of more than 0.42 needles per millimeter can increase the csPCa detection rate, which should be considered as an alternative biopsy method when we perform prostate biopsy in patients with PI-RADS<3.

Indexed as

clinically significant prostate cancermpMRIPI-RADSprostate cancertransperineal template-guided prostate biopsy

Identifiers

PMID35756615
PMCPMC9214307
OpenAlexW4282036844

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.