Evidence map›Paper›PMID 31929600›Full record

ArticlePloS one2020

Predictive factors of first dosage intravenous immunoglobulin-related adverse effects in children.

Jun Kubota, Shin-Ichiro Hamano, Atsuro Daida, Erika Hiwatari, Satoru Ikemoto, Yuko Hirata, Ryuki Matsuura, Daishi Hirano

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Comment on Wei et al.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Beyond Single Cutoffs: Gestational and Postnatal Age-Specific Interpretation of Neonatal Laboratory Markers.Pediatrics international : official journal of the Japan Pediatric Society
    Review
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

8 authors at 2 institutions in 1 country.

Jun KubotaDivision of Neurology, Saitama Children's Medical Center, Saitama, Japan.ORCID 0000-0002-1891-4746
Shin-Ichiro HamanoDivision of Neurology, Saitama Children's Medical Center, Saitama, Japan.
Atsuro DaidaDivision of Neurology, Saitama Children's Medical Center, Saitama, Japan.
Erika HiwatariDivision of Neurology, Saitama Children's Medical Center, Saitama, Japan.
Satoru IkemotoDepartment for Child Health and Human Development, Saitama Children's Medical Center, Saitama, Japan.
Yuko HirataDivision of Neurology, Saitama Children's Medical Center, Saitama, Japan.
Ryuki MatsuuraDivision of Neurology, Saitama Children's Medical Center, Saitama, Japan.
Daishi HiranoDepartment of Pediatrics, The Jikei University School of Medicine, Tokyo, Japan.
Saitama Children's Medical Center · JPJikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntravenous immunoglobulin (IVIG) therapy is used in the treatment of various diseases, and IVIG-related adverse effects (IVIG-AEs) vary from mild to severe. However, the mechanisms underlying IVIG-AEs and the potential predictive factors are not clear. This study investigated whether certain IVIG-AEs can be predicted before IVIG administration. STUDY DESIGN AND

methodsThis retrospective cohort study at the Division of Neurology, Saitama Children's Medical Center included patients enrolled from 2008 to 2018 who were < 18 years old and received IVIG for the first time. IVIG-AEs were classified according to the Common Terminology Criteria for Adverse Events version 5.0.

resultsA total of 104 patients fulfilled the inclusion criteria. The rate of IVIG-AEs was 37.5% (39/104). The most frequent IVIG-AEs were fever (41.0% [16/39]) and headache (38.5% [15/39]). AEs were below grade 2 in all except one patient and there were no grade 4 AEs. High serum total protein (TP) level was significantly related to the occurrence of IVIG-AEs (odds ratio, 14.8; 95% confidence interval, 2.4-90.5; P < 0.01). The optimal cutoff TP level was 6.7 g/dL. Although low WBC count and immunoglobulin G level may be predictive risk factors of IVIG-AEs, it was not confirmed in this study.

conclusionIVIG-AEs occurred in 37.5% of cases, and most were mild. TP was the best predictive risk factor of IVIG-AEs before IVIG administration. These results may aid in elucidating the mechanism underlying IVIG-AEs.

Indexed as

ChildChild, PreschoolExanthemaFemaleFeverHeadacheHumansImmunoglobulins, IntravenousIncidenceInfantMaleNauseaProtective FactorsRetrospective StudiesVomitingImmunoglobulins, Intravenous

Identifiers

PMID31929600
PMCPMC6957294
OpenAlexW3000511876

What OpenQuestion holds

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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.