Evidence map›Paper›PMID 32423953›Full record

ArticleAntimicrobial agents and chemotherapy2020

Antimicrobial Susceptibility and Cross-Resistance Patterns among Common Complicated Urinary Tract Infections in U.S. Hospitals, 2013 to 2018.

Marya D Zilberberg, Brian H Nathanson, Kate Sulham, Andrew F Shorr

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. TheInternational journal of molecular sciences · 2026
    Review
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  7. Mapping Antimicrobial Resistance inDiagnostics (Basel, Switzerland) · 2025
    Article
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  10. Article
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  12. JAC-antimicrobial resistance · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Marya D ZilberbergEviMed Research Group, LLC, Goshen, Massachusetts, USA evimedgroup@gmail.com.
Brian H NathansonOptiStatim, LLC, Longmeadow, Massachusetts, USA.
Kate SulhamSpero Therapeutics, Cambridge, Massachusetts, USA.
Andrew F ShorrWashington Hospital Center, Washington, DC, USA.
MedStar Washington Hospital Center · USOptim Design (United States) · USSpero Therapeutics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the face of increasing rates of antimicrobial resistance in complicated urinary tract infections (cUTIs), clinicians need to understand cross-resistance patterns among commonly encountered pathogens. We performed a multicenter, retrospective cohort study in the Premier database of approximately 180 hospitals, from 2013 to 2018. Using an ICD-9/10-based algorithm, we identified all adult patients hospitalized with cUTIs and included those with a positive blood or urine culture. We examined the microbiology and susceptibilities to common cUTI antimicrobials (3rd-generation cephalosporin [C3], fluoroquinolones [FQ], trimethoprim-sulfamethoxazole [TMP/SMZ], fosfomycin [FFM], and nitrofurantoin [NFT]) singly and in groups of two. Among 28,057 organisms from 23,331 patients, the 3 most common pathogens were

Indexed as

Anti-Infective AgentsUrinary Tract InfectionsAdultAnti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliHospitalsHumansMicrobial Sensitivity TestsRetrospective StudiesAnti-Bacterial AgentsAnti-Infective Agentsantimicrobial resistancecomplicated UTIcross-resistancehospitalization

Identifiers

PMID32423953
PMCPMC7526848
OpenAlexW3024858639

What OpenQuestion holds

Textmetadata
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.