Evidence map›Paper›PMID 28039477›Full record

ArticleOncotarget2017

Risk assessment models to evaluate the necessity of prostate biopsies in North Chinese patients with 4-50 ng/mL PSA.

Jing Zhao, Shuai Liu, Dexuan Gao, Sentai Ding, Zhihong Niu, Hui Zhang, Zhilong Huang, Juhui Qiu, Qing Li, Ning Li and 3 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

13 authors.

Jing ZhaoDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.
Shuai LiuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.
Dexuan GaoDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.
Sentai DingDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.
Zhihong NiuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.
Hui ZhangDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University (East Branch), Jinan, People's Republic of China.
Zhilong HuangDepartment of Urology, Lanling People's Hospital, Lanling, People's Republic of China.
Juhui QiuDepartment of Urology, Dongying People's Hospital, Dongying, People's Republic of China.
Qing LiDepartment of Urology, Yucheng People's Hospital, Yucheng, People's Republic of China.
Ning LiDepartment of Urology, Guangrao County Hospital of traditional Chinese Medicine, Guangrao, People's Republic of China.
Fang XieDepartment of Urology, Weihai Municipal Hospital, Weihai, People's Republic of China.
Jilei CuiDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.
Jiaju LuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate-specific antigen (PSA) is widely used for prostate cancer screening, but low specificity results in high false positive rates of prostate biopsies.

objectiveTo develop new risk assessment models to overcome the diagnostic limitation of PSA and reduce unnecessary prostate biopsies in North Chinese patients with 4-50 ng/mL PSA.

methodsA total of 702 patients in seven hospitals with 4-10 and 10-50 ng/mL PSA, respectively, who had undergone transrectal ultrasound-guided prostate biopsies, were assessed. Analysis-modeling stage for several clinical indexes related to prostate cancer and renal function was carried out. Multiple logistic regression analyses were used to develop new risk assessment models of prostate cancer for both PSA level ranges 4-10 and 10-50 ng/mL. External validation stage of the new models was performed to assess the necessity of biopsy.

resultsThe new models for both PSA ranges performed significantly better than PSA for detecting prostate cancers. Both models showed higher areas under the curves (0.937 and 0.873, respectively) compared with PSA alone (0.624 and 0.595), at pre-determined cut-off values of 0.1067 and 0.6183, respectively. Patients above the cut-off values were recommended for immediate biopsy, while the others were actively observed. External validation of the models showed significantly increased detection rates for prostate cancer (4-10 ng/mL group, 39.29% vs 17.79%, p=0.006; 10-50 ng/mL group, 71.83% vs 50.0%, p=0.015).

conclusionsWe developed risk assessment models for North Chinese patients with 4-50 ng/mL PSA to reduce unnecessary prostate biopsies and increase the detection rate of prostate cancer.

Indexed as

Decision Support TechniquesImage-Guided BiopsyUnnecessary ProceduresAgedArea Under CurveChinaChi-Square DistributionClinical Decision-MakingHumansKallikreinsLogistic ModelsMaleMiddle AgedMultivariate AnalysisNomogramsOdds RatioKallikreinsKLK3 protein, humanProstate-Specific AntigenbiopsyNorth Chinaprostate cancerPSArisk assessment model

Identifiers

PMID28039477
PMCPMC5354782

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LicenceCC BY
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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.