Evidence map›Paper›PMID 23564045›Full record

ArticleAsian journal of andrology2013

Prostate volume as an independent predictor of prostate cancer in men with PSA of 10-50 ng ml(-1).

Ping Tang, Xiao-Long Jin, Matthew Uhlman, Yu-Rong Lin, Xiang-Rong Deng, Bin Wang, Ke-Ji Xie

Open access · goldAbstract read
In one paragraph

Article in Asian journal of andrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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 4 institutions in 2 countries.

Ping TangDepartment of Urology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou 510180, China.
Xiao-Long Jin
Matthew Uhlman
Yu-Rong Lin
Xiang-Rong Deng
Bin Wang
Ke-Ji Xie
Guangzhou Medical University · CNGuangzhou First People's Hospital · CNSouthern Medical University · CNUniversity of Iowa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate volume (PV) has been shown to be associated with prostate cancer (PCa) detection rates in men with a prostate-specific antigen (PSA) in the 'grey zone' (2.0-10.0 ng ml(-1)). However, the PSA 'grey zone' in Asian men should be higher because the incidence of PCa in Asian men is relatively low. Therefore, we evaluated the association between PV and PCa detection rates in men with PSAs measuring 10-50 ng ml(-1). Men who underwent a 13-core prostatic biopsy with PV documentation participated in the study. A multivariate stepwise regression was used to evaluate whether the PV at time of prostate biopsy could predict the risk of PCa. The rates of PCa among men in different PSA ranges, stratified by PV medians (<60 and ≥60 ml), were calculated. There were 261 men included in the final analysis. PV was the strongest predictor of PCa risk (odds ratio, 0.02; P<0.001) compared to other variables. The PCa rates in men with PVs measuring <60 and ≥60 ml in the 10-19.9 ng ml(-1) PSA group were 40.6% and 15.1%, respectively, while the rates for men with PSAs measuring 20-50 ng ml(-1) were 65.1% and 26.8%. PV is an independent predictor of PCa in men with PSA measuring 10-50 ng ml(-1). In clinical practice, particularly for those countries with lower incidences of PCa, PV should be considered when counselling patients with PSAs measuring 10-50 ng ml(-1) regarding their PCa risks.

Indexed as

AgedAsian PeopleBiopsyHumansMaleMultivariate AnalysisOdds RatioOrgan SizePredictive Value of TestsProstateProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesRisk AssessmentProstate-Specific Antigen

Identifiers

PMID23564045
PMCPMC3739650
OpenAlexW2058538166

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.