Evidence map›Paper›PMID 32232677›Full record

ArticleWorld journal of pediatrics : WJP2020

Prediction of intravenous immunoglobulin resistance in Kawasaki disease in children.

Shu Wu, Ying Liao, Yan Sun, Chun-Yu Zhang, Qing-You Zhang, Hui Yan, Jian-Guang Qi, Xue-Qin Liu, Yong-Hong Chen, Yu-Li Wang and 3 more

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In one paragraph

Article in World journal of pediatrics : WJP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
5.5field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  11. Nomogram to predict severeFrontiers in pediatrics · 2026
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  17. [Development of a predictive scoring model for non-response to intravenous immunoglobulin in Kawasaki disease].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Article
  18. 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

13 authors at 2 institutions in 1 country.

Shu WuDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Ying LiaoDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Yan SunDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Chun-Yu ZhangDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Qing-You ZhangDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Hui YanDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Jian-Guang QiDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Xue-Qin LiuDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Yong-Hong ChenDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Yu-Li WangDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Xue-Ying LiDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Hong-Fang JinDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China.
Jun-Bao DuDepartment of Pediatrics, Peking University First Hospital, No. 1 Xi'an Men Street, Xicheng District, Beijing, China. junbaodu1@126.com.
Peking University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to explore predictive measures for intravenous immunoglobulin (IVIG) resistance in children with Kawasaki disease (KD).

methodsPatients diagnosed with KD were enrolled in this study. Univariate analysis and multiple logistic regression were utilized to analyze the clinical features and laboratory results prior to IVIG-treatment of the two groups. Independent predictors of IVIG resistance were analyzed, and a predictive model for KD children with IVIG resistance was constructed.

resultsA total of 277 children with KD, 180 boys and 97 girls, aged 2-128 (median 23) months, were enrolled in the study. Compared with the IVIG-responsive group, the IVIG-resistant group had higher levels of the peripheral neutrophil count, mean platelet volume, mean platelet volume-to-lymphocyte ratio and C-reactive protein, and total serum bilirubin, but lower levels of peripheral lymphocyte count, serum albumin and serum prealbumin. Age (in months), peripheral neutrophil count, lymphocyte count and mean platelet volume and serum albumin were independent indicators for IVIG resistance by multivariate logistic regression analysis. A logistic regression model and a scoring system were set up, where cut-off values of - 0.46 and 6.5 points yielded sensitivities of 83.9% and 77.4%, and specificities of 74.8% and 61.0%, respectively. The areas under the curve (AUC) were 0.808 in the logistic regression model, and 0.750 in the scoring system.

conclusionOur model for predicting IVIG-resistant children with KD, involving age (months), peripheral neutrophil count, lymphocyte count and mean platelet volume and serum albumin prior to IVIG-treatment, is helpful for clinical prediction of children with IVIG-resistant KD.

Indexed as

Drug ResistanceAdolescentChildChild, PreschoolErythrocyte CountFemaleHumansImmunoglobulins, IntravenousInfantLeukocyte CountMaleMucocutaneous Lymph Node SyndromeNeutrophilsPredictive Value of TestsSerum AlbuminImmunoglobulins, IntravenousSerum AlbuminIntravenous immunoglobulinKawasaki diseasePredictionResistance

Identifiers

PMID32232677
OpenAlexW3013393413

What OpenQuestion 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 OpenQuestion graph.