Evidence map›Paper›PMID 23318363›Full record

ReviewNature reviews. Urology2013

Aberrant PSA glycosylation--a sweet predictor of prostate cancer.

Sarah Gilgunn, Paul J Conroy, Radka Saldova, Pauline M Rudd, Richard J O'Kennedy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

118 citing papers in PubMed, 240 citations in OpenAlex.

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  9. [Molecular imprinting strategies and advances targeting biomembranes].Se pu = Chinese journal of chromatography · 2026
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58 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Sarah GilgunnSchool of Biotechnology, Dublin City University, Dublin 9, Ireland.
Paul J Conroy
Radka Saldova
Pauline M Rudd
Richard J O'Kennedy
Dublin City University · IENational Institute for Bioprocessing Research and Training · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer--the most commonly diagnosed cancer in men worldwide--can have a substantial effect on quality of life, regardless of the route the cancer takes. The serum PSA assay is the current gold standard option for diagnosing prostate cancer. However, a growing body of evidence suggests that PSA screening for prostate cancer results in extensive overdiagnosis and overtreatment. It is increasingly evident that the potential harm from overdiagnosis (in terms of unnecessary biopsies) must be weighed against the benefit derived from the early detection and treatment of potentially fatal prostate cancers. Rapid screening methods have been used to analyse glycosylation patterns on glycoproteins in large cohorts of patients, enabling the identification of a new generation of disease biomarkers. Changes to the expression status of certain glycan structures are now widely thought to be common features of tumour progression. In light of this development, much research has focused on the potential role of altered PSA glycosylation patterns in discriminating between significant and insignificant prostate cancers, with the aim of developing a more reliable diagnostic tool than the current serum PSA test.

Indexed as

Amino Acid SequenceAnimalsBiomarkers, TumorEarly Detection of CancerGlycosylationHumansMaleMolecular Sequence DataPredictive Value of TestsProstate-Specific AntigenProstatic NeoplasmsBiomarkers, TumorProstate-Specific Antigen

Identifiers

PMID23318363
OpenAlexW2000671183

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.