Evidence map›Paper›PMID 41868017›Full record

ReviewInfection and drug resistance2026

Real-World Evidence and Multidrug Resistant Infections: How Can We Leverage RWE to Improve Patient Outcome with the Novel Beta-Lactam and Beta-Lactam/Beta-Lactamase Inhibitor Combinations.

Milo Gatti, Federico Pea

Abstract readReview
In one paragraph

Review in Infection and drug resistance, 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

2 authors.

Milo GattiDepartment of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy.ORCID 0000-0003-3018-3779
Federico PeaDepartment of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy.ORCID 0000-0002-6966-7167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translating findings emerged from pivotal trials of novel beta-lactams into real-world clinical practice represents a major concern. Real-world evidence assessing the efficacy of novel beta-lactams in different clinical scenarios may provide some benefits in selecting proper place in therapy. This review aims to perform a critical reappraisal of the issues emerged from pivotal trials of novel beta-lactams and leveraging real-world evidence supporting proper place in therapy in the treatment of multidrug-resistant Gram-negative infections. A comprehensive literature search was performed on PubMed-MEDLINE from January 2015 to September 2025 for identifying pivotal trials and real-world evidence concerning the use of cefiderocol and of novel beta-lactam/beta-lactamase inhibitor combination (BL/BLIc) including those of tomorrow (ie, ceftolozane-tazobactam, ceftazidime-avibactam, meropenem-vaborbactam, imipenem-relebactam, cefepime-enmetazobactam, cefepime-taniborbactam, cefepime-zidebactam, sulbactam-durlobactam, aztreonam-avibactam). Critical issues emerged from pivotal trials in terms of potential appropriate place in therapy of each included agent were summarized. Four different therapeutic algorithms were proposed according to the pattern of antibiotic susceptibility of the pathogens, the genotype of resistance, and pharmacokinetic/pharmacodynamic (PK/PD) features of selected agents: a) extended-spectrum beta-lactamase (ESBL)-producing

Indexed as

multidrug-resistant gram-negative infectionsnovel beta-lactam/beta-lactamase inhibitor combinationsPK/PD optimizationplace in therapyreal-world evidencetherapeutic algorithms

Identifiers

PMID41868017
PMCPMC13003780

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.