Evidence map›Paper›PMID 39497019›Full record

ArticleInfluenza and other respiratory viruses2024

Respiratory Diagnoses Year-Round: Unraveling the Multifaceted Pediatric Infection Cycles.

Marcin Piotr Walkowiak, Jarosław Walkowiak, Dariusz Walkowiak

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

3 authors.

Marcin Piotr WalkowiakDepartment of Preventive Medicine, Poznan University of Medical Sciences, Poznań, Poland.ORCID 0000-0002-2862-7687
Jarosław WalkowiakDepartment of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Poznań, Poland.
Dariusz WalkowiakDepartment of Organization and Management in Health Care, Poznan University of Medical Sciences, Poznań, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study is to analyze the annual cycle of pediatric medically attended respiratory illnesses. STUDY

designData on 141 million pediatric respiratory visits from the years 2010-2019 were obtained from the Polish National Healthcare Fund. To identify underlying patterns and trends within the aggregated data, techniques like seasonal-trend decomposition using LOESS (STL) and principal component analysis (PCA) were applied.

resultsA strongly recurring pattern was observed. Following the annual minimum in late summer, there was a sudden surge in upper respiratory infections in early September. Subsequently, overall visits declined gradually, while the share of lower respiratory infections increased, particularly during the influenza peaks from January to March. Afterwards, visits declined steadily, with an additional peak of tonsillopharyngitis noted in midsummer. Dimensionality reduction of diagnoses implied the existence of two major groups of co-occurring diagnoses, the proportions of which change over the year: one smaller but more severe, peaking during the influenza season, and the second dominating with lower severity. Age differences in diagnoses were observed, with babies showing upper respiratory infections likely diagnosed with the common cold rather than a more specific upper respiratory infection.

conclusionWhile enhancing surveillance strategies is indeed a desirable long-term goal, it is worth noting that despite the variability observed in the onset of the influenza season, the infection cycles generally follow a relatively fixed pattern. This consistency provides a foundation for effective planning and underscores the potential for proactive measures to mitigate the impact of seasonal outbreaks.

Indexed as

Influenza, HumanRespiratory Tract InfectionsSeasonsAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalePolandpediatricprimary carerespiratory infectionsseasonalitysyndromic surveillancetonsillitis

Identifiers

PMID39497019
PMCPMC11534662

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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.