Evidence map›Paper›PMID 40583998›Full record

ArticleJAC-antimicrobial resistance2025

Comparative

Ava J Dorazio, Ellen G Kline, Kevin M Squires, Marissa P Griffith, Yohei Doi, Ryan K Shields

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Resistance ofPathogens (Basel, Switzerland) · 2025
    Pooled it
  2. Article
  3. ConsistentAntimicrobial agents and chemotherapy · 2026
    Article
  4. Review
  5. Article
  6. [Beta-lactams and beta-lactamase inhibitors-current developments].Innere Medizin (Heidelberg, Germany) · 2025
    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

6 authors.

Ava J DorazioDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.
Ellen G KlineDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.
Kevin M SquiresDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.
Marissa P GriffithDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.
Yohei DoiDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-9620-2525
Ryan K ShieldsDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0001-9794-5665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the Methods: Standardized susceptibility testing by broth microdilution was performed to determine MICs for imipenem, meropenem and sulbactam alone, and for combinations including sulbactam/avibactam, sulbactam/durlobactam, sulbactam/avibactam/meropenem, sulbactam/avibactam/imipenem, sulbactam/durlobactacm/meropenem and sulbactam/durlobactam/imipenem. Whole-genome sequencing was also performed to compare MICs to key resistance determinants, including mutations in penicillin-binding proteins (PBPs). Results: Median sulbactam/durlobactam and sulbactam/avibactam MICs were 2 and 16 mg/L, respectively. Imipenem potentiated the Conclusions: These data show that imipenem potentiates sulbactam-based combinations to a greater extent than meropenem; however, future studies are needed to define how these data should be applied in clinical practice.

Identifiers

PMID40583998
PMCPMC12205954

What OpenQuestion holds

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LicenceCC BY
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.