Evidence map›Paper›PMID 38020524›Full record

ArticleEuropean urology open science2023

Comparative Effectiveness Randomized Clinical Trial Using Next-generation Microbial Sequencing to Direct Prophylactic Antibiotic Choice Before Urologic Stone Lithotripsy Using an Interprofessional Model.

Michael A Liss, Kelly R Reveles, Craig D Tipton, Jonathan Gelfond, Timothy Tseng

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in European urology open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04404855 (Randomized Clinical Trial Using Next Generation Microbial Sequencing to Direct Antibiotic Selection Before Kidney Stone Lithotripsy Using an Interprofessional Model), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

NCT04404855 nacompletednot on this map

Randomized Clinical Trial Using Next Generation Microbial Sequencing to Direct Antibiotic Selection Before Kidney Stone Lithotripsy Using an Interprofessional Model

TypeinterventionalSponsorThe University of Texas Health Science Center at San AntonioRan2019 to 2022Enrolled240ConditionsKidney Stone, Renal Stone, Infection, BacterialArmsNGS + Antibiotic Recommendation, Standard of Care treatment
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Infection Prophylaxis in Urological Diagnostic and Surgical Procedures - A narrative review and recommendations.International braz j urol : official journal of the Brazilian Society of Urology
    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

5 authors at 2 institutions in 1 country.

Michael A LissDepartment of Urology, University of Texas Health San Antonio, San Antonio, TX, USA.
Kelly R RevelesCollege of Pharmacy, University of Texas, Austin, TX, USA.
Craig D TiptonRTL Genomics, MicroGen DX, Lubbock, TX, USA.
Jonathan GelfondDepartment of Population Sciences, University of Texas Health San Antonio, San Antonio, TX, USA.
Timothy TsengDepartment of Urology, University of Texas Health San Antonio, San Antonio, TX, USA.
The University of Texas Health Science Center at San Antonio · USTexas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Next-generation sequencing (NGS) methods for microbial profiling have increased sensitivity to detect urinary pathogens. Objective: To determine whether NGS microbial profiling can be used to guide antibiotic prophylaxis and reduce infection compared with the standard of care. Design setting and participants: A prospective randomized controlled clinical trial of patients undergoing urologic stone interventions at an academic health center from December 2019 to January 2022 was conducted. Urine was collected at the preoperative visit for standard culture and intervention NGS diagnostics. Evaluable patients were culture negative, met 2-wk follow-up, and did not cancel surgery. Of 240 individuals (control = 121, intervention = 119), 83 control and 74 intervention patients were evaluable. Intervention: Microbial findings (paired quantitative polymerase chain reaction and NGS) were sent to an infectious disease pharmacist to recommend prophylactic antimicrobial regimen. Outcome measurements and statistical analysis: The primary outcome was postoperative urinary infection within the follow-up period (Fisher's exact test). The primary outcome was analyzed by modified intent-to-treat (mITT) and per-protocol analyses. Secondary endpoints considered included positive culture concordance, antibiotic use, and adverse events. Additional post hoc analyses investigated factors contributing to infection (univariate logistic regression). Results and limitations: The intervention significantly reduced postsurgical urinary infection risk by 7.1% (-0.73%, 15%) compared with the standard of care in the mITT analysis (1.4% vs 8.4%, Conclusions: Urinary microbial NGS-guided antibiotic prophylaxis before endoscopic urologic stone lithotripsy improves antibiotic selection to reduce healthcare-associated urinary infections; however, treatment efficacy may be limited by the ability to adhere to the recommended protocol. Patient summary: We investigated whether microbial DNA sequencing could improve the selection of antibiotics before kidney stone surgery in patients not known to have any bacteria in the urine on standard culture. We found that using microbe DNA to guide antibiotic choices decreased postoperative infection rate and may encourage individualized use of available antibiotics.

Indexed as

InfectionKidney stoneLithotripsyMicrobiomeNext-generation sequencing

Identifiers

PMID38020524
PMCPMC10658407
OpenAlexW4387150613

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.