Evidence map›Paper›PMID 39625646›Full record

ReviewCurrent rheumatology reports2024

An Update on Kawasaki Disease.

Anurag Ratan Goel, Ali Yalcindag

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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  9. Review
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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

2 authors.

Anurag Ratan GoelDepartment of Internal Medicine, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
Ali YalcindagDivision of Rheumatology, Department of Pediatrics, The Warren Alpert Medical School of Brown University, Providence, RI, USA. ali_yalcindag@brown.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo summarize advances in research on the epidemiology, pathogenesis, diagnosis, and treatment of Kawasaki Disease (KD), a systemic inflammatory illness of unknown etiology that affects children globally. RECENT

findingsThe epidemiology of KD was affected by the COVID-19 pandemic and advances in molecular immunology and machine learning have enabled research into its pathogenesis. There is ongoing research into agents that can be used to intensify initial treatment and accumulating evidence supporting the use of certain rescue regimens for refractory disease over others. There is promise surrounding a new coronary artery aneurysm prediction model. Research into the post-acute morbidity of KD continues. The COVID-19 pandemic temporarily reduced the incidence of KD. The NLRP3 inflammasome plays a key role in KD pathogenesis. Intensified initial treatment benefits high-risk patients, yet no intensification regimen shows superiority over another. Corticosteroids, infliximab, or combination therapy with IVIg plus another agent may be superior rescue regimens compared to IVIg alone for refractory KD. The Son score, developed in North America, predicted coronary artery lesions in Japanese and Italian cohorts. Patients with a history of KD may carry long-term physical and emotional burdens that persist into adulthood yet appear to have typical neurocognitive development. Successful transition to adult healthcare presents a challenge.

Indexed as

COVID-19Mucocutaneous Lymph Node SyndromeHumansImmunoglobulins, IntravenousSARS-CoV-2Immunoglobulins, IntravenousCoronary artery aneurysmCorticosteroidInfliximabIntravenous immunoglobulinKawasaki Disease

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.