Evidence map›Paper›PMID 38555411›Full record

ArticleProstate cancer and prostatic diseases2024

The diagnostic yield of the Meares & Stamey test can be significantly improved by symptom-based patient selection and the experience of the test performer.

Tommaso Cai, Irene Tamanini, Katia Odorizzi, Luca Gallelli, Massimiliano Lanzafame, Sandra Mazzoli, Paolo Lanzafame, Orietta Massidda, Alessandro Palmieri, Florian M E Wagenlehner and 2 more

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Article in Prostate cancer and prostatic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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, 4 citations in OpenAlex.

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4 · The record

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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

12 authors at 8 institutions in 3 countries.

Tommaso CaiDepartment of Urology, Santa Chiara Regional Hospital, Trento, Italy. ktommy@libero.it.ORCID 0000-0002-7234-3526
Irene TamaniniDepartment of Urology, Santa Chiara Regional Hospital, Trento, Italy.
Katia OdorizziDepartment of Urology, Santa Chiara Regional Hospital, Trento, Italy.
Luca GallelliDepartment of Health Science, School of Medicine, University of Catanzaro, Catanzaro, Italy.
Massimiliano LanzafameDepartment of Infectious Diseases, Santa Chiara Regional Hospital, Trento, Italy.
Sandra MazzoliMicrobiology Unit and STDs Centre, Santa Maria Annunziata Hospital, Firenze, Italy.
Paolo LanzafameDepartment of Microbiology, Santa Chiara Regional Hospital, Trento, Italy.
Orietta MassiddaDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.ORCID 0000-0001-8823-2372
Alessandro PalmieriDepartment of Urology, University of Naples, Federico II, Naples, Italy.
Florian M E WagenlehnerClinic for Urology, Pediatric Urology and Andrology, Justus Liebig University, Giessen, Germany.ORCID 0000-0002-2909-0797
Truls E Bjerklund JohansenInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Cosimo De NunzioDepartment of Urology, Sant'Andrea Hospital, Sapienza University, Rome, Italy.ORCID 0000-0002-2190-512X
Ospedale Santa Chiara · ITAzienda Ospedaliera Sant'Andrea · ITJustus-Liebig-Universität Gießen · DEOslo University Hospital · NOOspedale Santa Maria Annunziata · ITUniversity of Naples Federico II · ITUniversity of Oslo · NOUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven if Meares-Stamey 4-glass (M&S) test is regarded a decisive tool for diagnosing prostatitis its use is only rarely performed in everyday clinical practice. Here, we analyze if the diagnostic yield of the M&S test could be improved by a pre-test categorization of patients due to undergo a M&S test.

methodsAll clinical and microbiological data of patients who underwent M&S test in two urological centers from January 2004 to December 2021 were analyzed in this retrospective cohort study. One center has a dedicated staff member for the study of prostatitis (Cohort I), while the other center is a general urological unit (Cohort II). All patients were divided into 3 groups on the basis of the assembled data: patients with symptoms related to prostatitis only (Group I), patients with symptoms related to both prostatitis and BPH (Group II), patients with symptoms related to BPH only (Group III). The rates of positive microbiological results in each group were compared.

resultsIn the whole period, 9347 patients were analyzed and categorized as follows: Group I, 1884; Group II, 5151; Group III, 2312. Three-thousand and eight-hundred twenty-three patients showed positive culture results (40.9%). The most common isolated species was Escherichia coli (49.7%), followed by Enteroccus spp. (31.8%). The rates of positive M&S tests in the different symptom groups were: Group I, 1532 (81.4%); Group II, 1494 (29.0%); Group III, 797 (34.4%). The overall rate of positive M&S tests in each urology center showed that the center with a staff member who is dedicated to prostatitis studies (Cohort I) had a significantly higher rate of positive M&S tests than the general urological department (Cohort II) (64.3% vs 31.4%; p < 0.001).

conclusionsSymptom-based patient selection and dedicated staff members will increase the diagnostic yield of the M&S test and reduce the number of unnecessary tests.

Indexed as

Patient SelectionProstatitisAdultAgedHumansMaleMiddle AgedProstatic HyperplasiaRetrospective Studies

Identifiers

PMID38555411
OpenAlexW4393338115

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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.