Evidence map›Paper›PMID 42145455›Full record

ArticleBJUI compass2026

Perioperative antibiotic prophylaxis, prostate size and transperineal prostate biopsy.

Maxwell Louis Sandberg, Robert Smith, Randall Bissette, Madeline Sandberg, Gregory Russell, Alejandro Rodriguez, Matvey Tsivian

Abstract read
In one paragraph

Article in BJUI compass, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Maxwell Louis SandbergWake Forest University School of Medicine Winston Salem North Carolina USA.
Robert SmithMedical University of South Carolina Charleston South Carolina USA.
Randall BissetteWake Forest University School of Medicine Winston Salem North Carolina USA.
Madeline SandbergUniversity of Michigan-Ann Arbor Ann Arbor Michigan USA.
Gregory RussellDepartment of Biostatistics Wake Forest University School of Medicine Winston Salem North Carolina USA.
Alejandro RodriguezWake Forest University School of Medicine Winston Salem North Carolina USA.
Matvey TsivianMedical University of South Carolina Charleston South Carolina USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Transperineal prostate biopsy (TPPB) is increasingly used for prostate cancer diagnosis due to low postoperative infection rates. However, the necessity of perioperative antibiotics remains debated. Although infectious complications such as urinary tract infections (UTIs) are uncommon, acute urinary retention (AUR) is a recognized complication. This study compared infection rates between patients undergoing TPPB with versus without perioperative antibiotics and evaluated rates of AUR and its association with prostate size. Methods: We conducted a multi-institutional retrospective review of patients who underwent TPPB from 2012 to 2025. Patients were stratified by receipt of perioperative antibiotics (second- or third-generation cephalosporin) versus no antibiotics. Infection was defined as fever ≥38.3°C with or without UTI symptoms or a positive urine culture (>10 Results: A total of 904 patients were included (771 antibiotics and 133 no antibiotics). Eighteen patients (2.0%) developed infection, with no significant difference based on antibiotic usage ( Conclusions: Perioperative antibiotics did not reduce infection rates following TPPB. Larger prostate volume is associated with an increased risk of AUR after TPPB.

Indexed as

infectionMRIprostate biopsyprostate cancertransperinealurinary retention

Identifiers

PMID42145455
PMCPMC13176779

What OpenQuestion holds

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Registered trials

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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.