Evidence map›Paper›PMID 33489328›Full record

ArticleJournal of ophthalmology2020

Clinical Analysis of Castleman's Disease of the Lacrimal Gland.

Dongping Li, Dongrun Tang, Fengyuan Sun

Open access · goldAbstract read
In one paragraph

Article in Journal of ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 8 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

3 authors at 1 institution in 1 country.

Dongping LiEye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin 300384, China.ORCID https://orcid.org/0000-0002-6188-9929
Dongrun TangEye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin 300384, China.
Fengyuan SunEye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin 300384, China.ORCID https://orcid.org/0000-0001-8552-4388
Tianjin International Joint Academy of Biomedicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the clinical manifestations, imaging characteristics, and pathological characteristics of Castleman's disease of the lacrimal gland, enhance the knowledge of the disease, and improve the level of its diagnosis and treatment.

methodsIn the retrospective study, the data of 5 patients diagnosed with Castleman's disease of the lacrimal gland in Tianjin Medical University Eye Hospital from 2014 to 2018 were analyzed, and the relevant literature was reviewed.

resultsAll the 5 patients were confirmed by pathological examination. Clinical manifestations were characterized by mass occupying lesions in the lacrimal gland area, without obvious pain, accompanied by eyelid swelling and ptosis, as well as space-occupying symptoms. Imaging examination showed that there was a soft tissue mass in the enlarged lacrimal gland area, and the mass was rich in blood flows while showing no obvious specificity, which could invade the surrounding muscles. All patients underwent surgical resection. Pathological results showed that 1 case was of the hyaline-vascular type, 3 cases were of the plasma cell type, and 1 case showed malignant transformation to plasma cell tumor.

conclusionCastleman's disease of the lacrimal gland is a rare orbital lymphoproliferative disease lacking specificity in clinical manifestations and imaging examination. As there are difficulties in differentiating the disease from orbital inflammatory pseudotumor and orbital lymphoma, its diagnosis still depends on pathological examination. The disease is mainly treated with surgical resection, and the pathological type is determined postoperatively.

Identifiers

PMID33489328
PMCPMC7803145
OpenAlexW3107270164

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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.