Evidence map›Paper›PMID 29264129›Full record

ArticleAsian journal of urology2015

Configuration and validation of a novel prostate disease nomogram predicting prostate biopsy outcome: A prospective study correlating clinical indicators among Filipino adult males with elevated PSA level.

Michael E Chua, Patrick P Tanseco, Jonathan S Mendoza, Josefino C Castillo, Marcelino L Morales, Saturnino L Luna

Abstract read
In one paragraph

Article in Asian journal of urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Michael E ChuaInstitute of Urology, St. Luke's Medical Center-Quezon City and Global City, NCR, Philippines.
Patrick P TansecoInstitute of Urology, St. Luke's Medical Center-Quezon City and Global City, NCR, Philippines.
Jonathan S MendozaInstitute of Urology, St. Luke's Medical Center-Quezon City and Global City, NCR, Philippines.
Josefino C CastilloInstitute of Urology, St. Luke's Medical Center-Quezon City and Global City, NCR, Philippines.
Marcelino L MoralesInstitute of Urology, St. Luke's Medical Center-Quezon City and Global City, NCR, Philippines.
Saturnino L LunaInstitute of Urology, St. Luke's Medical Center-Quezon City and Global City, NCR, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo configure and validate a novel prostate disease nomogram providing prostate biopsy outcome probabilities from a prospective study correlating clinical indicators and diagnostic parameters among Filipino adult male with elevated serum total prostate specific antigen (PSA) level.

methodsAll men with an elevated serum total PSA underwent initial prostate biopsy at our institution from January 2011 to August 2014 were included. Clinical indicators, diagnostic parameters, which include PSA level and PSA-derivatives, were collected as predictive factors for biopsy outcome. Multiple logistic-regression analysis involving a backward elimination selection procedure was used to select independent predictors. A nomogram was developed to calculate the probability of the biopsy outcomes. External validation of the nomogram was performed using separate data set from another center for determination of sensitivity and specificity. A receiver-operating characteristic (ROC) curve was used to assess the accuracy in predicting differential biopsy outcome.

resultsTotal of 552 patients was included. One hundred and ninety-one (34.6%) patients had benign prostatic hyperplasia, and 165 (29.9%) had chronic prostatitis. The remaining 196 (35.5%) patients had prostate adenocarcinoma. The significant independent variables used to predict biopsy outcome were age, family history of prostate cancer, prior antibiotic intake, PSA level, PSA-density, PSA-velocity, echogenic findings on ultrasound, and DRE status. The areas under the receiver-operating characteristic curve for prostate cancer using PSA alone and the nomogram were 0.688 and 0.804, respectively.

conclusionThe nomogram configured based on routinely available clinical parameters, provides high predictive accuracy with good performance characteristics in predicting the prostate biopsy outcome such as presence of prostate cancer, high Gleason prostate cancer, benign prostatic hyperplasia, and chronic prostatitis.

Indexed as

Benign prostatic hyperplasiaNomogramProstate cancerProstatitis

Identifiers

PMID29264129
PMCPMC5730747

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