Evidence map›Paper›PMID 36213635›Full record

ArticleFrontiers in medicine2022

Kimura disease, a rare cause of inguinal lymphadenopathy: A case report.

Xianwen Hu, Xue Li, Changwei Yang, Dandan Li, Jiong Cai, Pan Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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  4. Characteristics ofBMC medical imaging · 2024
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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

6 authors at 2 institutions in 1 country.

Xianwen HuDepartment of Nuclear Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Xue LiDepartment of Nuclear Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Changwei YangDepartment of Nuclear Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Dandan LiDepartment of Obstetrics, Zunyi Hospital of Traditional Chinese Medicine, Zunyi, China.
Jiong CaiDepartment of Nuclear Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Pan WangDepartment of Nuclear Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Zunyi Medical University · CNFirst People’s Hospital of Zunyi · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kimura's disease (KD) is a rare chronic granulomatous disease of unknown etiology that mainly involves damage to lymph nodes, soft tissues, and salivary glands. The clinical symptoms are mainly painless subcutaneous soft tissue masses, often involving head and neck lymph nodes and salivary glands, and are mainly characterized by diffuse eosinophilic infiltration, lymphocyte, and vascular proliferation. There are few reports in the literature that KD affects only inguinal lymph nodes. We report in this study a 41-year-old male patient who presented to the hospital for medical help with soft tissue masses in the groin. Magnetic resonance imaging (MRI) showed multiple abnormal soft tissue nodules around the iliac vessels in the left groin, and a contrast-enhanced scan showed obvious homogeneous enhancement. Diffusion-weighted imaging showed limited movement of water molecules and showed an obvious high signal. Fluoro18-labeled deoxyglucose positron emission tomography/computed tomography (

Indexed as

flfluoro18-labeled deoxyglucoseinguinal lymphadenopathyKimura’s diseasemagnetic resonance imagingPET/CT

Identifiers

PMID36213635
PMCPMC9537629
OpenAlexW4297003962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.