Evidence map›Paper›PMID 33361680›Full record

ArticleInternal medicine (Tokyo, Japan)2021

Utility of Basophil Activation Test in a Case of Daisaikoto- and Yokukansan-induced Lung Injury.

Tomoko Kawahara, Munehiro Yamaguchi, Chisato Onitsuka, Tomoyuki Kimura, Tetsuya Homma, Hironori Sagara

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 73% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Tomoko KawaharaDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Japan.
Munehiro YamaguchiDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Japan.
Chisato OnitsukaDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Japan.
Tomoyuki KimuraDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Japan.
Tetsuya HommaDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Japan.
Hironori SagaraDivision of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Japan.
Showa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced lung injury is defined as a respiratory disorder. The usefulness of the basophil activation test (BAT) for drug allergy-related cases was recently reported. The patient was an 82-year-old woman who had been taking Daisaikoto and Yokukansan (herbal medicines) 3 months before developing dry cough. She was admitted to our hospital with an initial diagnosis of pneumonia with elevated serum LDH, KL-6, and IgE. Chest CT showed bilateral ground-glass opacities. Her bronchoalveolar lavage fluid showed increased eosinophils. Finally, a BAT was positive for both medications. Based on the findings, the patient was diagnosed with Daisaikoto- and Yokukansan-induced lung injury. The current case suggests that the BAT may be useful for the diagnosis of drug-induced lung injury.

Indexed as

Drugs, Chinese HerbalLung InjuryAged, 80 and overBasophilsFemaleHumansdaisaikotoDrugs, Chinese HerbalYi-Gan SanBATDLSTdrug-induced lung injuryherbal medicineKampo

Identifiers

PMID33361680
PMCPMC8188028
OpenAlexW3114949658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.