Evidence map›Paper›PMID 42192725›Full record

ReviewAntibiotics (Basel, Switzerland)2026

Beyond β-Lactams: Defining the Role of Eravacycline in Multidrug-Resistant and Metallo-β-Lactamase-Producing Infections.

Jacob M Keck

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 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

1 author.

Jacob M KeckDepartment of Pharmacy, University of Arkansas for Medical Sciences (UAMS), Little Rock, AR 72205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global spread of multidrug-resistant (MDR) Gram-negative pathogens has significantly narrowed therapeutic options for serious infections. MDR organisms frequently harbor multiple resistance mechanisms, such as β-lactamases and non-β-lactam determinants, which limit the activity of many β-lactam/β-lactamase inhibitor combinations and complicate the clinical utility of newer agents such as cefiderocol and aztreonam-avibactam. These challenges highlight the need for mechanistically distinct, non-β-lactam therapies capable of maintaining activity in MDR settings. Eravacycline is a fully synthetic fluorocycline antibiotic that inhibits bacterial protein synthesis through high-affinity binding to the 30S ribosomal subunit, a mechanism unaffected by β-lactamase-mediated resistance. Structural modifications at key positions confer stability against common tetracycline resistance mechanisms, including efflux pumps and ribosomal protection proteins. In vitro surveillance studies consistently demonstrate potent activity against a broad range of MDR Gram-negative pathogens, notably carbapenem-resistant Enterobacterales and isolates harboring metallo-β-lactamases. The clinical efficacy and safety of eravacycline have been established in pivotal Phase 3 trials for complicated intra-abdominal infections. Although highly resistant phenotypes were underrepresented in these trials, emerging real-world data describe off-label use in MDR Gram-negative infections, often as salvage or step-down therapy. These experiences suggest acceptable clinical outcomes and favorable tolerability in complex, high-risk patients. This review synthesizes mechanistic, microbiologic, pharmacologic, and clinical evidence supporting eravacycline's potential role in the management of MDR Gram-negative infections.

Indexed as

eravacyclinemultidrug-resistant (MDR) pathogensNew Delhi metallo-β-lactamase (NDM)

Identifiers

PMID42192725
PMCPMC13203371

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.