Evidence map›Paper›PMID 36263040›Full record

ArticleFrontiers in immunology2022

Single center blind testing of a US multi-center validated diagnostic algorithm for Kawasaki disease in Taiwan.

Ho-Chang Kuo, Shiying Hao, Bo Jin, C James Chou, Zhi Han, Ling-Sai Chang, Ying-Hsien Huang, Kuoyuan Hwa, John C Whitin, Karl G Sylvester and 9 more

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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, 6 citations in OpenAlex.

  1. Diagnosis, Progress, and Treatment Update of Kawasaki Disease.International journal of molecular sciences · 2023
    Review
  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

19 authors at 5 institutions in 2 countries.

Ho-Chang KuoKawasaki Disease Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Shiying HaoSchool of Medicine, Stanford University, Stanford, CA, United States.
Bo JinSchool of Medicine, Stanford University, Stanford, CA, United States.
C James ChouSchool of Medicine, Stanford University, Stanford, CA, United States.
Zhi HanSchool of Medicine, Stanford University, Stanford, CA, United States.
Ling-Sai ChangKawasaki Disease Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Ying-Hsien HuangKawasaki Disease Center, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Kuoyuan HwaCenter for Biomedical Industry, Department of Molecular Science and Engineering, National Taipei University of Technology, Taipei, Taiwan.
John C WhitinSchool of Medicine, Stanford University, Stanford, CA, United States.
Karl G SylvesterSchool of Medicine, Stanford University, Stanford, CA, United States.
Charitha D ReddySchool of Medicine, Stanford University, Stanford, CA, United States.
Henry ChubbSchool of Medicine, Stanford University, Stanford, CA, United States.
Scott R CeresnakSchool of Medicine, Stanford University, Stanford, CA, United States.
John T KanegayePediatrics, University of California San Diego, San Diego, CA, United States.
Adriana H TremouletPediatrics, University of California San Diego, San Diego, CA, United States.
Jane C BurnsPediatrics, University of California San Diego, San Diego, CA, United States.
Doff McElhinneySchool of Medicine, Stanford University, Stanford, CA, United States.
Harvey J CohenSchool of Medicine, Stanford University, Stanford, CA, United States.
Xuefeng B LingSchool of Medicine, Stanford University, Stanford, CA, United States.
Stanford University · USUniversity of California, San Diego · USChang Gung University · TWKaohsiung Chang Gung Memorial Hospital · TWNational Taipei University of Technology · TW

Funding

An automated system to differentiate Kawasaki disease from febrile illness with real life clinical datasets in New York CityR41TR004351 · NCATS · HBI SOLUTIONS INC. · PI SCHILLING, JAMES W · 2022 to 2022
$346k
NCATS NIH HHS R41 TR004351
6 · The paper itself

Abstract

Background: Kawasaki disease (KD) is the leading cause of acquired heart disease in children. The major challenge in KD diagnosis is that it shares clinical signs with other childhood febrile control (FC) subjects. We sought to determine if our algorithmic approach applied to a Taiwan cohort. Methods: A single center (Chang Gung Memorial Hospital in Taiwan) cohort of patients suspected with acute KD were prospectively enrolled by local KD specialists for KD analysis. Our previously single-center developed computer-based two-step algorithm was further tested by a five-center validation in US. This first blinded multi-center trial validated our approach, with sufficient sensitivity and positive predictive value, to identify most patients with KD diagnosed at centers across the US. This study involved 418 KDs and 259 FCs from the Chang Gung Memorial Hospital in Taiwan. Findings: Our diagnostic algorithm retained sensitivity (379 of 418; 90.7%), specificity (223 of 259; 86.1%), PPV (379 of 409; 92.7%), and NPV (223 of 247; 90.3%) comparable to previous US 2016 single center and US 2020 fiver center results. Only 4.7% (15 of 418) of KD and 2.3% (6 of 259) of FC patients were identified as indeterminate. The algorithm identified 18 of 50 (36%) KD patients who presented 2 or 3 principal criteria. Of 418 KD patients, 157 were infants younger than one year and 89.2% (140 of 157) were classified correctly. Of the 44 patients with KD who had coronary artery abnormalities, our diagnostic algorithm correctly identified 43 (97.7%) including all patients with dilated coronary artery but one who found to resolve in 8 weeks. Interpretation: This work demonstrates the applicability of our algorithmic approach and diagnostic portability in Taiwan.

Indexed as

Mucocutaneous Lymph Node SyndromeAlgorithmsChildFeverHumansInfantPredictive Value of TestsTaiwanalgorithmdiagnosisfebrile illnessinflammatory diseaseKawasaki disease

Identifiers

PMID36263040
PMCPMC9575935
OpenAlexW4300861638

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.