Evidence map›Paper›PMID 31691136›Full record

ArticleInternational urology and nephrology2020

The clinical rate of antibiotic change following empiric treatment for suspected urinary tract infections.

Jonathan Dokter, Lauren E Tennyson, Laura Nguyen, Esther Han, Larry T Sirls

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Article in International urology and nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Multidrug Resistance ofOpen forum infectious diseases · 2023
    Article
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  4. Article
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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.

Jonathan DokterOakland University William Beaumont School of Medicine, Rochester, MI, USA.
Lauren E TennysonDepartment of Urology, Female Pelvic Medicine and Reconstructive Surgery, Beaumont Health, 3535 W. 13 Mile Road, Suite 438, Royal Oak, MI, 48073, USA. Lauren.tennyson@beaumont.org.
Laura NguyenDepartment of Urology, McMaster University, Hamilton, ON, Canada.
Esther HanDepartment of Urology, Female Pelvic Medicine and Reconstructive Surgery, Beaumont Health, 3535 W. 13 Mile Road, Suite 438, Royal Oak, MI, 48073, USA.
Larry T SirlsDepartment of Urology, Female Pelvic Medicine and Reconstructive Surgery, Beaumont Health, 3535 W. 13 Mile Road, Suite 438, Royal Oak, MI, 48073, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the rate of antibiotic change in an outpatient setting following empiric treatment of culture proven UTI and to identify risk factors associated with change.

methodsPatients with suspected UTI and urine culture were reviewed (January 2016-June 2016). Those with a positive culture were categorized by whether or not they were treated empirically. Empiric treatment was evaluated for associations with clinical-demographic data, symptoms and urinalysis (UA). Antibiotic change was evaluated with clinical-demographic data, urine culture, and resistance patterns.

results916 urine cultures (636 patients) were included. 391 (43%) cultures were positive, and 164 (42%) were treated empirically. Clinical-demographic data did not differ between groups. Those treated empirically had more documented UTI symptoms (93 vs 58%, P < 0.001), and UA abnormalities including positive nitrites (51 vs 29%, P < 0.001), 3 + leukocyte esterase (27 vs 19%, P = 0.002) and 3 + blood (13 vs 4%, P = 0.005). Of those treated empirically, 42/164 (26%) required an antibiotic change, and this was associated with immunosuppression (12 vs 2%, P = 0.027) resistance to > 3 antibiotics (33 vs 20%, P = 0.039) and also resistance to fluoroquinolone (50 vs 30%, P = 0.016), monobactam (19 vs 7% P = 0.042) and TMP-SMX (52 vs 19%, P < 0.001).

conclusionsAlmost one-quarter of patients treated empirically required antibiotic change. This was driven largely by bacterial resistance. New technologies allowing rapid bacterial identification and sensitivity may improve patient care.

Indexed as

Anti-Bacterial AgentsDrug SubstitutionUrinary Tract InfectionsDrug Resistance, MicrobialEarly DiagnosisFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedOutcome Assessment, Health CareQuality ImprovementRisk FactorsUrinalysisAnti-Bacterial AgentsAntibioticsAntimicrobial resistanceEmpiric treatmentUrinary tract infection

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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.