Evidence map›Paper›PMID 42713537›Full record

ReviewLe infezioni in medicina2026

Avibactam-based combinations for the treatment of multidrug resistant Gram-negative bacilli infections.

Giusy Tiseo, Alessandro Russo, Michele Bartoletti, Mario Tumbarello, Marco Falcone

Abstract readReview
In one paragraph

Review in Le infezioni in medicina, 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

5 authors.

Giusy TiseoInfectious Diseases Unit, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy.
Alessandro RussoDepartment of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Catanzaro, Italy; Infectious and Tropical Disease Unit, "Renato Dulbecco" Hospital, Catanzaro, Italy.
Michele BartolettiDepartment of Biomedical Sciences, Humanitas University, Pieve, 20090, Italy.
Mario TumbarelloInfectious and Tropical Disease Unit, "Santa Maria delle Scotte" University of Siena, Siena, Italy.
Marco FalconeInfectious Diseases Unit, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The approach to multidrug-resistant (MDR) Gram-negative bacilli (GNB) infections has changed following the introduction of avibactam-based β-lactam/β-lactamase inhibitor combinations. Ceftazidime/avibactam has become a cornerstone for the treatment of infections caused by KPC-producing Enterobacterales, whereas the recent availability of aztreonam/avibactam has provided the first targeted option against metallo-β-lactamase (MBL)-producing Enterobacterales. At the same time, the emergence of KPC variants, the increasing dissemination of MBLs and the growing complexity of resistance mechanisms have made both empirical and targeted therapeutic decisions increasingly challenging. This narrative review summarizes the current evidence regarding the microbiological activity, clinical efficacy and optimal place in therapy of avibactam-based combinations. Ceftazidime/avibactam is a cornerstore for the treatment of KPC infections, and significantly modified the outcome of patients with KPC infections during the last decade. Robust observational studies demonstrated its clinical efficacy and safety. It may also represent a carbapenem-sparing option for treating infections due to difficult-to-treat ESBL- and OXA-48-producing Enterobacterales. Moreover, its activity against MDR

Indexed as

avibactam β-lactam/β-lactamase inhibitor combinationsGram-negative bacillimultidrug-resistance

Identifiers

PMID42713537
PMCPMC13552554

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.