Evidence map›Paper›PMID 39327060›Full record

ArticleBMJ paediatrics open2024

Spatiotemporal analysis of the association between Kawasaki disease incidence and PM

Kota Yoneda, Daisuke Shinjo, Naoto Takahashi, Kiyohide Fushimi

Abstract read
In one paragraph

Article in BMJ paediatrics open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Review
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.

Kota YonedaHealth Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, Bunkyo-ku, Japan.ORCID http://orcid.org/0000-0003-1605-5340
Daisuke ShinjoHealth Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, Bunkyo-ku, Japan dshinjo.hci@tmd.ac.jp.ORCID http://orcid.org/0000-0002-7495-7409
Naoto TakahashiDepartment of Pediatrics, The University of Tokyo Hospital, Bunkyo-ku, Japan.
Kiyohide FushimiHealth Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, Bunkyo-ku, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKawasaki disease (KD) is an acute vasculitis primarily affecting children. While some studies suggest a link between KD and PM

methodsIn this retrospective analysis, we used the Japanese administrative claims database to identify the incidence of KD in children under age 5 in 335 secondary medical care areas across Japan before (from July 2014 to December 2019) and during (from January 2020 to December 2021) the COVID-19 pandemic. For each of these periods, we developed hierarchical Bayesian models termed conditional autoregressive (CAR) models that can address the spatiotemporal clustering of KD to investigate the association between the monthly incidence of KD and exposure to PM

resultsIn the before-pandemic and during-pandemic periods, 55 289 and 14 023 new cases of KD were identified, respectively. The CAR models revealed that only 12-month exposure to PM

conclusionsAnnual exposure to PM

Indexed as

Air PollutantsCOVID-19Environmental ExposureMucocutaneous Lymph Node SyndromeParticulate MatterSpatio-Temporal AnalysisAir PollutionBayes TheoremChild, PreschoolDatabases, FactualFemaleHumansIncidenceInfantJapanMaleAir PollutantsParticulate MatterChild HealthCOVID-19EpidemiologyStatistics

Identifiers

PMID39327060
PMCPMC11428985

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.