Evidence map›Paper›PMID 35989868›Full record

ArticleInternational journal of clinical practice2022

Predictors for Intravenous Immunoglobulin Resistance in Patients with Kawasaki Disease.

Wei Li, Li Zhang, Zhouping Wang, Xiufang He, Huimei Lin, Yanfei Wang, Jia Yuan, Xiaofei Xie, Xu Zhang, Youzhen Qin and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. 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

11 authors at 2 institutions in 1 country.

Wei LiDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0001-7864-455X
Li ZhangDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0003-0712-0112
Zhouping WangDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0003-3449-7687
Xiufang HeDepartment of Pediatric Cardiovascular, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0003-2510-8061
Huimei LinDepartment of Medical Record, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.
Yanfei WangDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0002-4797-7498
Jia YuanDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0002-3678-0251
Xiaofei XieDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0002-8118-1346
Xu ZhangDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0001-8783-8890
Youzhen QinDepartment of Pediatric Cardiovascular, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0003-3097-9216
Ping HuangDepartment of Cardiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510120, China.ORCID https://orcid.org/0000-0002-6003-9658
Guangzhou Women and Children Medical Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Between 10 and 20% of Kawasaki disease (KD) patients are resistant to treatment with initial intravenous immunoglobulin (IVIG) and have a high risk of developing coronary artery lesions. Some studies have been conducted to identify predictive factors. However, the results are controversial. This study aims to identify the risk factors for IVIG-resistant KD patients in a Chinese population. Methods: We performed a retrospective analysis of medical records of consecutive KD patients from two medical centers in South China from January 2015 to December 2017. A total of 1281 KD patients were eligible for inclusion in this study and maintained follow-up for over 12 months. The KD patients were divided into two groups based on IVIG response. Clinical characteristics and laboratory variables were compared between the two groups. Multivariate logistic regression analysis was performed to identify the risk factors of IVIG resistance in KD patients. Results: Of the 1281 KD patients, 141 (11.0%) cases who were IVIG resistant to adjunctive therapies for primary treatment were classified as group 1. The remaining patients were in group 2 ( Conclusions: Patients presenting with coronary artery lesions in the acute phase and elevated C-reactive protein levels before IVIG treatment might be a useful and important value for predicting IVIG resistance in KD. Risk assessment based on coronary artery lesions and C-reactive protein levels prior to the treatment may improve the outcome of IVIG resistance.

Indexed as

Drug ResistanceImmunoglobulins, IntravenousMucocutaneous Lymph Node SyndromeCoronary Artery DiseaseCoronary VesselsC-Reactive ProteinFemaleHumansMaleRetrospective StudiesC-Reactive ProteinImmunoglobulins, Intravenous

Identifiers

PMID35989868
PMCPMC9365590
OpenAlexW4289637868

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.