Evidence map›Paper›PMID 39040113›Full record

ArticleFrontiers in immunology2024

Novel predictors of intravenous immunoglobulin resistance in patients with Kawasaki disease: a retrospective study.

Cong Yi, Yu-Neng Zhou, Jun Guo, Jia Chen, Xiang She

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Article in Frontiers in immunology, 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

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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

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

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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

5 authors.

Cong YiDepartment of Pediatrics, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China.
Yu-Neng ZhouDepartment of Pediatrics, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China.
Jun GuoDepartment of Pediatrics, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China.
Jia ChenDepartment of Pediatrics, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China.
Xiang SheDepartment of Pediatrics, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to investigate the predictive value of systemic immune inflammation index (SII), systemic inflammatory response index (SIRI), and pan-immune inflammation value (PIV) in predicting intravenous immunoglobulin (IVIG) resistance in children diagnosed with Kawasaki disease (KD). Methods: The clinical data of pediatric patients diagnosed with Kawasaki disease and admitted to our hospital between January 2006 and December 2022 were retrospectively analyzed. Results: In total, 771 children diagnosed with KD were included in this study, 86 (11.2%) of whom were diagnosed with IVIG resistance. The correlation between SII, SIRI, PIV and IVIG resistance was evaluated using univariate testing, binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis. Our study found that the SII, SIRI, and PIV were independent risk factors (p=0.001, p<0.001, and p=0.02, respectively). The area under the ROC curve (AUC) values of the SII, SIRI, and PIV were 0.626 (95% confidence interval (CI): 0.553-0.698, p<0.001), 0.571 (95% CI: 0.500-0.642, p=0.032), and 0.568 (95% CI: 0.495-0.641, p=0.040), respectively, and the cutoff values were 2209.66, 3.77, and 1387.825, respectively. Conclusion: The SII, SIRI, and PIV have potential value in predicting IVIG resistance in patients with KD.

Indexed as

Drug ResistanceImmunoglobulins, IntravenousMucocutaneous Lymph Node SyndromeChildChild, PreschoolFemaleHumansInfantMalePrognosisRetrospective StudiesRisk FactorsROC CurveImmunoglobulins, Intravenousintravenous immunoglobulin resistanceKawasaki diseasepan-immune inflammation valuesystemic immune inflammation indexsystemic inflammation response index

Identifiers

PMID39040113
PMCPMC11260624

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