Evidence map›Paper›PMID 31722940›Full record

Observational studyBMJ open2019

Observational study comparing the accuracy/variability between the ERSPC and the PCPT risk calculators for the prediction of significant prostate cancer in patients with PSA <10 ng/mL.

Enrique Gomez Gomez, Juan José Salamanca Bustos, Julia Carrasco Valiente, Jose Luis Fernandez Rueda, Ana Blanca, José Valero Rosa, Ines Bravo Arrebola, Javier Marquez López, Juan Manuel Jimenez Vacas, Raul Luque and 1 more

Erratum issuedOpen access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Enrique Gomez GomezUrology, Hospital Universitario Reina Sofia, Cordoba, Spain enrique.gomez.gomez.sspa@juntadeandalucia.es.
Juan José Salamanca BustosUrology, Hospital Universitario Reina Sofia, Cordoba, Spain.
Julia Carrasco ValienteUrology, Hospital Universitario Reina Sofia, Cordoba, Spain.
Jose Luis Fernandez RuedaInnovation and Methodology, Maimonides Institute for Biomedical Research of Cordoba, Cordoba, Spain.
Ana BlancaGenitourinary Diseases, Maimonides Institute for Biomedical Research of Cordoba, Cordoba, Spain.
José Valero RosaUrology, Hospital Universitario Reina Sofia, Cordoba, Spain.
Ines Bravo ArrebolaUrology, Hospital Universitario Reina Sofia, Cordoba, Spain.
Javier Marquez LópezUrology, Hospital Universitario Reina Sofia, Cordoba, Spain.
Juan Manuel Jimenez VacasOncobesity and Metabolism, Maimonides Institute for Biomedical Research of Cordoba, Cordoba, Spain.
Raul LuqueOncobesity and Metabolism, Maimonides Institute for Biomedical Research of Cordoba, Cordoba, Spain.
Maria José Requena TapiaUrology, Hospital Universitario Reina Sofia, Cordoba, Spain.
Hospital Universitario Reina Sofía · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESUniversity of Córdoba · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRisk calculators (RCs) are easy-to-use tools considering available clinical variables that could help to select those patients with risk of prostate cancer (PCa) who should undergo a prostate biopsy.

objectiveTo perform a comparison for the prediction of significant PCa (SigPCa) between the European Randomised Study of Screening for PCa (ERSPC) and the PCa Prevention Trial (PCPT) RCs in patients with prostate-specific antigen (PSA) between 3 and 10 ng/mL through an evaluation of the accuracy/variability between two consecutive PSA values.

settingAn observational study in a major university hospital in the south of Spain. METHODS AND

participantsAn observational study was performed in patients who underwent a prostate biopsy. SigPCa probabilities were calculated with the two PSA measures using ERSPC3/4+digital rectal examination and PCPT v2+free PSA RCs. The prediction of SigPCa was determined by the area under the receiver operating characteristic curve (AUC). Calibration, discrimination and decision curve analysis were studied. The variability between both RCs' agreement was compared using Cohen's kappa coefficient.

results510 patients were analysed (87 diagnosed with SigPCa). The median PSA values were 5.3 and 5 ng/mL for PSA1 and PSA2, respectively. Both RCs overestimated the risk in the case of high-risk probabilities. Discriminative ability for SigPCa was similar between models with an AUC=0.73 (0.68-0.79) for ERSPC-RC versus 0.73 (0.67-0.79) for PCPT-RC. ERSPC-RC showed less variability than PCPT-RC, with a constant agreement (k=0.7-0.8) for usual range of clinical decision-making. Remarkably, a higher number of biopsies would be avoided using the ERSPC-RC, but more SigPCa would be missed along all the risk probabilities.

conclusionsBoth RCs performed similar in the prediction of SigPCa. However, ERSPC-RC seems to be more stable for intraindividual PSA variations.

Indexed as

Decision Support TechniquesAgedBiopsyEarly Detection of CancerHumansMaleMiddle AgedPredictive Value of TestsProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesRisk AssessmentProstate-Specific AntigenERSPCPCPTrisk calculator variabilitysignificant prostate cancer

Identifiers

PMID31722940
PMCPMC6858159
OpenAlexW2986101453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.