Evidence map›Paper›PMID 40502405›Full record

ArticleLancet regional health. Americas2025

Invasive pneumococcal disease in Argentina: a snapshot from a retrospective observational study on serotypes, antimicrobial resistance, and the potential impact of the COVID-19 pandemic (2018-2022).

Jonathan Zintgraff, Paula Gagetti, Nahuel Sánchez Eluchans, Paulina Marchetti, María Alicia Moscoloni, Lucia Irazu, Claudia S Lara, Argentina Spn Working Group, Alejandra Corso

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

9 authors.

Jonathan ZintgraffServicio Bacteriología Clínica, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Paula GagettiServicio Antimicrobianos, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Nahuel Sánchez EluchansServicio Bacteriología Clínica, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Paulina MarchettiServicio Bacteriología Clínica, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
María Alicia MoscoloniServicio Bacteriología Clínica, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Lucia IrazuInstituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Claudia S LaraServicio Bacteriología Clínica, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.
Argentina Spn Working Group
Alejandra CorsoServicio Antimicrobianos, Departamento de Bacteriología, Instituto Nacional de Enfermedades Infecciosas (INEI)-ANLIS ''Dr. Carlos G. Malbrán", Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We conducted a national laboratory-based surveillance study analysing 1304 Findings: A significant decrease in isolates was observed in 2020, followed by a resurgence beginning in 2021, peaking in 2022. The most prevalent serotypes in children (<5 years) over the past five years included 3 (11%; 54/494), 24F (8%; 39/494), 19A (7%; 35/494), 12F (6%; 30/494), and 14/23B (4%; 20/494). In adults (≥18 years), the leading serotypes were 3 (17%; 92/542), 8 (14%; 76/542), 7F (5%; 27/542), 9N (4%; 22/542), and 19A (4%; 22/542). Notably, antimicrobial resistance levels were significant, with children showing higher resistance rates (26% multidrug resistance) compared to adults (8%), Among PCV13 serotypes, 19A was predominantly associated with multidrug resistance, while non-PCV13 serogroup 24 was prevalent among resistant isolates. Interpretation: The fluctuations in serotype circulation, particularly among children under five, suggest evolving dynamics post-COVID-19. Although it remains uncertain if these changes are directly linked to the pandemic or reflect broader trends, the data highlight an urgent need for continued surveillance and potential adaptations in vaccination strategies. Funding: No funding was received for this study.

Indexed as

AdultsAntimicrobial resistanceConjugate vaccinesInvasive pneumococcal diseasePaediatricsPneumococcal serotypesStreptococcus pneumoniae

Identifiers

PMID40502405
PMCPMC12152759

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.