Evidence map›Paper›PMID 30105509›Full record

ReviewCurrent urology reports2018

Improving the Specificity of PSA Screening with Serum and Urine Markers.

James T Kearns, Daniel W Lin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  7. Review
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  9. Article
  10. Screening for Prostate Cancer.The Medical clinics of North America · 2020
    Review
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  13. Review
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  20. Personalized medicine-concepts, technologies, and applications in inflammatory skin diseases.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2019
    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

2 authors at 2 institutions in 1 country.

James T KearnsDepartment of Urology, University of Washington School of Medicine, 1959 NE Pacific, Box 356510, Seattle, WA, 98195, USA. jkearns1@uw.edu.
Daniel W LinDepartment of Urology, University of Washington School of Medicine, 1959 NE Pacific, Box 356510, Seattle, WA, 98195, USA.
Fred Hutch Cancer Center · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewProstate cancer remains a significant public health burden. In order to decrease the morbidity and mortality associated with prostate cancer, serum prostate-specific antigen (PSA) screening has been used since the 1990s. However, there is concern for overdiagnosis of prostate cancer with widespread PSA screening, which could lead to overtreatment and its attendant morbidities. RECENT

findingsIn order to avoid unnecessary biopsy and downstream effects including treatment of insignificant prostate cancer, a number of tests have been proposed to improve upon PSA screening. Increasing the specificity of prostate cancer screening above that of PSA testing should reduce the incidence of unnecessary prostate biopsy. However, an increase in specificity is associated with a decrease in sensitivity, so these tests must be balanced with the concern for missing the diagnosis of potentially significant disease. In this context, we present a review of six common biomarkers proposed to improve the specificity of prostate cancer screening-free PSA, prostate health index, 4Kscore, PCA3, Select MDx, and ExoDx Prostate(Intelliscore).

Indexed as

Biomarkers, TumorHumansMaleProstate-Specific AntigenProstatic NeoplasmsSensitivity and SpecificityBiomarkers, TumorProstate-Specific AntigenBiomarkersProstate cancerPSA screening

Identifiers

PMID30105509
OpenAlexW2885626395

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.