Evidence map›Paper›PMID 42319655›Full record

ArticleIndian pediatrics2026

Nirsevimab Implementation and Primary Management of Lower Respiratory Tract Infections in Infants in Spain: A Quasi-Experimental Study.

María Medina Muñoz, Soledad Gallego Campillo, Yolanda Martín Peinador, Lucía Vigara Rey

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Article in Indian pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

María Medina MuñozDepartment of Pediatrics, Centro de Salud Montesa, Primary Care, C/Montesa 38, 28006, Madrid, Spain. mariamedina90@gmail.com.ORCID http://orcid.org/0009-0006-2844-5206
Soledad Gallego CampilloCentro de Salud Goya, Primary Care, Madrid, Spain.
Yolanda Martín PeinadorCentro de Salud Goya, Primary Care, Madrid, Spain.
Lucía Vigara ReyCentro de Salud Goya, Primary Care, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLower respiratory tract infections (LRTIs) are a common cause of primary care visits in infants. This study was done to evaluate the course of LRTIs before-and-after the introduction of nirsevimab and to identify the associated risk factors.

methodsThis was a quasi-experimental, before-and-after study, comparing two cohorts of infants followed during their first year of life, before (April-December 2017-2018) and after (April-December 2023-2024) following the introduction of nirsevimab. Clinical, epidemiological, and healthcare-related variables were analyzed.

resultsA total of 729 infants were included (n = 327 in 2017-2018; n = 402 in 2023-2024); 91.0% of infants in the second period received nirsevimab. The overall incidence of LRTIs did not differ between the two periods (26.3% vs. 23.9%; P = 0.453). Following the introduction of nirsevimab, diagnoses and follow-up in primary care increased (+ 35.3% and + 28.4%, respectively; both P < 0.001). No differences were observed in clinical severity (P = 0.301), emergency department referrals (P = 1.000), pharmacological treatment (P = 0.791), recurrences (P = 0.110), or hospitalizations (P = 1.000). In multivariable analysis, LRTI occurrence was independently associated with male sex, daycare attendance, school-aged siblings, passive smoking exposure, and lack of nirsevimab immunoprophylaxis.

conclusionsThe introduction of nirsevimab did not affect the severity of LRTI and was accompanied by a greater proportion of cases managed in primary care.

Indexed as

BronchiolitisMonoclonal antibodyPneumoniaPrimary health careRespiratory syncytial virus infections

Identifiers

PMID42319655

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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.