Evidence map›Paper›PMID 42192746›Full record

ArticleAntibiotics (Basel, Switzerland)2026

Severe Mycoplasma pneumoniae Pneumonia During the 2023-2024 European Re-Emergence: Why Severity Does Not Predict Macrolide Resistance.

Enrico Perugini, Ludovica Ferrari, Marco Iannetta, Barbara Bartolini, Valentina Dimartino, Marco Favaro, Carla Fontana, Loredana Sarmati

Abstract readCase Reports
In one paragraph

Article 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

8 authors.

Enrico PeruginiInfectious Diseases Unit, Department of System Medicine, Tor Vergata University, 00133 Rome, Italy.ORCID 0009-0001-5093-0893
Ludovica FerrariDepartment of Infectious Diseases, Galliera Hospital, 16128 Genoa, Italy.
Marco IannettaInfectious Diseases Unit, Department of System Medicine, Tor Vergata University, 00133 Rome, Italy.ORCID 0000-0002-6938-8627
Barbara BartoliniNational Institute for Infectious Diseases "Lazzaro Spallanzani"-IRCCS, 00149 Rome, Italy.ORCID 0000-0003-3882-3996
Valentina DimartinoNational Institute for Infectious Diseases "Lazzaro Spallanzani"-IRCCS, 00149 Rome, Italy.ORCID 0000-0002-4729-577X
Marco FavaroDepartment Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Carla FontanaNational Institute for Infectious Diseases "Lazzaro Spallanzani"-IRCCS, 00149 Rome, Italy.ORCID 0000-0003-2198-1947
Loredana SarmatiInfectious Diseases Unit, Department of System Medicine, Tor Vergata University, 00133 Rome, Italy.ORCID 0000-0003-1452-0333

Funding

Ministry of Health Ricerca Corrente Linea 3, Progetto 2
6 · The paper itself

Abstract

backgroundFollowing a significant decline during the 2020-2021 SARS-CoV-2 pandemic,

methodsWe report a severe MP pneumonia occurring during the 2023-2024 resurgence and evaluate macrolide resistance through a rapid two-step workflow (Real Time-PCR screening for A2063G/A2064G followed by confirmatory 23S rRNA sequencing), to assess whether severity predicts resistance and to support antibiotic stewardship.

resultsThe patient developed acute hypoxic respiratory failure (PaO

conclusionsSevere MP pneumonia can occur despite the absence of macrolide resistance. During MP re-emergence, clinical severity should not be used to infer macrolide resistance. Integrating nucleic acid amplification test (NAAT) diagnosis with rapid genotyping/confirmatory 23S rRNA sequencing can prevent misclassification, reduce unwarranted broad-spectrum escalation, and strengthen antimicrobial stewardship decisions.

Indexed as

antimicrobial stewardshipmacrolide-resistant mutationsMycoplasma pneumoniaereal-time PCRsevere pneumonia

Identifiers

PMID42192746
PMCPMC13203136

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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.