Evidence map›Paper›PMID 34173835›Full record

ArticlePediatric cardiology2021

Verification of "Japanese Scoring Systems" to Predict IVIG Resistance and Identification of Predictors for IVIG Resistance in Thai Children with Kawasaki Disease.

Jirayut Jarutach, Supaporn Roymanee, Kanjarut Wongwaitaweewong

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Article in Pediatric cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Jirayut JarutachDivision of Cardiology, Department of Pediatrics, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, 90110, Thailand. jirayuthpedc@gmail.com.ORCID http://orcid.org/0000-0002-6086-2054
Supaporn RoymaneeDivision of Cardiology, Department of Pediatrics, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, 90110, Thailand.
Kanjarut WongwaitaweewongDivision of Cardiology, Department of Pediatrics, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, 90110, Thailand.
Prince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to assess the validity of using the Kobayashi, Sano and Egami scoring systems to predict the intravenous immunoglobulin (IVIG) resistance of Kawasaki disease (KD) and to identify the predictors of IVIG resistance in our Thai population. A retrospective study involving 130 KD patients who were admitted between January 2005 and April 2018 was performed. We found that 17 (13%) KD patients did not respond to the first IVIG dose. The three scoring systems have good specificity (80.8%, 74% and 92.1%, respectively) but low sensitivity (0%, 33.3% and 22.2%, respectively). Multivariate analysis suggested that a body temperature greater than 40.2 °C (odds ratio of 3.80, P value = 0.03), a neutrophil percentage greater than 74% (odds ratio of 3.82, P value = 0.03) and serum albumin less than 3 g/L (odds ratio of 5.09, P value = 0.01) were predictors of IVIG resistance. Our study cannot conclude that the three Japanese scoring systems are not suitable for predicting IVIG resistance in the Thai population due to study limitations. However, a high-grade fever (≥ 40.2 °C), neutrophil predominance ≥ 74% and hypoalbuminemia (serum albumin level < 3 g/L) were predictors of IVIG resistance in Thai KD patients.

Indexed as

Immunoglobulins, IntravenousMucocutaneous Lymph Node SyndromeChildDrug ResistanceHumansInfantRetrospective StudiesRisk AssessmentThailandImmunoglobulins, IntravenousIntravenous immunoglobulin resistanceKawasaki diseasePredictorRisk score

Identifiers

PMID34173835
OpenAlexW3175350402

What OpenQuestion holds

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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.