Evidence map›Paper›PMID 37220596›Full record

ArticleJournal of surgical case reports2023

Castleman disease: a case report of an unusual adrenal incidentaloma and literature review.

Sarah Aldosari, Bassam Altalhi, Nesreen Albisher, Shamayel Mohammed, Alaa Alhazmi, Saif Alsobhi

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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.

Sarah AldosariDepartment of Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Bassam AltalhiDepartment of Surgery, Almoosa Specialist Hospital, Alahsa, Saudi Arabia.
Nesreen AlbisherDepartment of Surgery, Almoosa Specialist Hospital, Alahsa, Saudi Arabia.
Shamayel MohammedPathology & Laboratory Medicine Department, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Alaa AlhazmiDepartment of Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Saif AlsobhiDepartment of Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
King Faisal Specialist Hospital & Research Centre · SASaad Specialist Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adrenal incidentaloma (AI) is an incidental detection of an adrenal mass on an image not performed for a suspected adrenal problem. AI has become a commonly encountered lesion that requires further investigations for evidence of hormonal hypersecretion or malignancy potential. According to guidelines, surgical intervention is the standard of care for unilateral AI. We report on a case of a 64-year-old female who presented with a nonfunctional adrenal mass associated with compressive symptoms, which was revealed to be a mixed hyaline vascular and plasma cell variant Castleman disease (CD) after surgical resection. Although hyaline vascular variant and plasma cell variant of CD has been identified in adrenal glands, this is the first report of a mixed hyaline vascular and plasma cell variant in an adrenal mass.

Indexed as

AdrenalectomyAdrenal incidentalomaCase reportCastleman diseasePathological classification

Identifiers

PMID37220596
PMCPMC10200125
OpenAlexW4377192572

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.