Evidence map›Paper›PMID 38264589›Full record

ArticleJournal of medical ultrasound

Hepatic Sarcoidosis: Lesson Based on a Case Report.

Renato Farina, Mariangela Clemenza, Santo Riccardo Borzì, Antonio Basile

Abstract readCase Reports
In one paragraph

Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Renato FarinaDepartment of Surgical and Medical Sciences, Advanced Technologies GF Ingrassia, University of Catania, Catania, Italy.
Mariangela ClemenzaDepartment of Surgical and Medical Sciences, Advanced Technologies GF Ingrassia, University of Catania, Catania, Italy.
Santo Riccardo BorzìDepartment of Surgical and Medical Sciences, Advanced Technologies GF Ingrassia, University of Catania, Catania, Italy.
Antonio BasileDepartment of Surgical and Medical Sciences, Advanced Technologies GF Ingrassia, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoidosis is a multisystemic disease of unknown etiology that can involve lungs, abdominal organs, and lymph nodes. The incidence of sarcoidosis is highest between the ages of 20 and 40 years, and it affects both sexes equally. The most frequent localization is in the lungs, and about half of the affected patients are generally asymptomatic but can involve in small percentages of various other parts such as the biliary tract, pancreas, stomach, and urinary tract. Hepatic and splenic localization is infrequent, and lesions are often mistaken for metastases due to their morphologic similarity. The histological lesion of sarcoidosis is a noncaseous granuloma always associated with high levels of angiotensin-converting enzyme, hypercalcemia, hypercalciuria, and, in a significant percentage of cases (35%-40%), liver enzyme alteration. The pathological evolution of granulomas is fibrosis, and the most severe cases of hepatic sarcoidosis can develop into cirrhosis or portal hypertension. Imaging is essential for lesion localization and is represented by ultrasound, computed tomography (CT), magnetic resonance imaging, and positron emission tomography/CT. The differential diagnosis is very difficult and is almost always histological. We describe a case of hepatic sarcoidosis in an asymptomatic patient with elevated liver enzymes.

Indexed as

Computed tomographyhepatic sarcoidosismagnetic resonance imagingsarcoidosisultrasound

Identifiers

PMID38264589
PMCPMC10802865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.