Evidence map›Paper›PMID 32198373›Full record

ArticleScientific reports2020

Using clinical parameters to predict prostate cancer and reduce the unnecessary biopsy among patients with PSA in the gray zone.

Junxiao Liu, Biao Dong, Wugong Qu, Jiange Wang, Yue Xu, Shuanbao Yu, Xuepei Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.2field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  12. Diagnostic value ofZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
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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

7 authors at 1 institution in 1 country.

Junxiao Liu *Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Biao Dong *Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wugong QuDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiange WangDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yue XuDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shuanbao YuDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xuepei ZhangDepartment of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. zhangxuepei@263.net.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gold standard for prostate cancer (PCa) diagnosis is prostate biopsy. However, it remines controversial as an invasive mean for patients with PSA levels in the gray zone (4-10 ng/mL). This study aimed to develop strategy to reduce the unnecessary prostate biopsy. We retrospectively identified 235 patients with serum total PSA testing in the gray zone before prostate biopsy between 2014 and 2018. Age, PSA derivates, prostate volume and multiparametric magnetic imaging (mpMRI) examination were assessed as predictors for PCa and clinically significant PCa with Gleason score ≥ 7 (CSPCa). Univariate analysis showed that prostate volume, PSAD, and mpMRI examination were significant predictors of PCa and CSPCa (P < 0.05). The differences of diagnostic accuracy between mpMRI examination (AUC = 0.69) and other clinical parameters in diagnostic accuracy for PCa were not statistically significant. However, mpMRI examination (AUC = 0.79) outperformed prostate volume and PSAD in diagnosis of CSPCa. The multivariate models (AUC = 0.79 and 0.84 for PCa and CSPCa) performed significantly better than mpMRI examination for detection of PCa (P = 0.003) and CSPCa (P = 0.036) among patients with PSA level in the gray zone. At the same level of sensitivity as the mpMRI examination to diagnose PCa, applying the multivariate models could reduce the number of biopsies by 5% compared with mpMRI examination. Overall, our results supported the view that the multivariate model could reduce unnecessary biopsies without compromising the ability to diagnose PCa and CSPCa. Further prospective validation is required.

Indexed as

AgedBiopsyChinaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingProstateProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesProstate-Specific Antigen

Identifiers

PMID32198373
PMCPMC7083895
OpenAlexW3012056506

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.