Evidence map›Paper›PMID 24404399›Full record

ArticleAllergy, asthma & immunology research2014

Autologous immunoglobulin therapy in patients with severe recalcitrant atopic dermatitis: a preliminary report.

Dong-Ho Nahm, Su-Mi Cho, Myoung-Eun Kim, Yeo-Jin Kim, Sook-Yeong Jeon

Open access · hybridAbstract read
In one paragraph

Article in Allergy, asthma & immunology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 16 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

5 authors at 1 institution in 1 country.

Dong-Ho NahmDepartment of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.
Su-Mi ChoDepartment of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.
Myoung-Eun KimDepartment of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.
Yeo-Jin KimDepartment of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.
Sook-Yeong JeonYonsei-Ajou Pediatric Clinic, Gwang-Ju, Korea.
Ajou University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of severe recalcitrant atopic dermatitis (AD) is a challenging issue for clinicians and patients. We hypothesized that repeated intramuscular injections of autologous immunoglobulin (autologous immunoglobulin therapy: AIGT) might induce clinical improvements in patients with AD by stimulation of the active immune response to antigen-binding-site of pathogenic antibodies. We tried AIGT in 3 adult patients with severe recalcitrant AD whose clinical conditions could not be effectively controlled by medical treatments (including oral cyclosporine) for more than 2 years. Autologous immunoglobulin was purified from the autologous plasma by affinity chromatography using Protein A. The patients were treated by an intramuscular injection of 50 mg of autologous immunoglobulin twice a week for 4 weeks. A clinical severity score of AD (SCORAD value) showed a decrease greater than 30% at 8 weeks after the initiation of AIGT compared with the baseline before the initiation of AIGT in all 3 patients with severe recalcitrant AD. No significant side effects from treatment were observed. Further studies with larger numbers of patients are required to evaluate the clinical usefulness of AIGT for AD.

Indexed as

atopicDermatitisimmunoglobulintreatment

Identifiers

PMID24404399
PMCPMC3881407
OpenAlexW2017064817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.