Evidence map›Paper›PMID 32051795›Full record

ArticleCureus2020

Macroscopic Appearance of Giant Adrenal Myelolipoma During Laparoscopy: An Adjunct in Differential Diagnosis.

Antonios Katsimantas, Dimitrios Filippou, Argiro Melloy, Spyridon Paparidis, Nikolaos Ferakis

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 40% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  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

5 authors at 3 institutions in 2 countries.

Antonios KatsimantasUrology, Mediterraneo Hospital, Glyfada, GRC.
Dimitrios FilippouSurgery, National and Kapodistrian University of Athens School of Medicine, Athens, GRC.
Argiro MelloyHistopathology, General Hospital of the Greek Red Cross "Korgialeneio-Benakeio", Athens, GRC.
Spyridon PaparidisUrology, Korgialenio-Benakio Hellenic Red Cross Hospital, Athens, GRC.
Nikolaos FerakisUrology, Korgialenio-Benakio Hellenic Red Cross Hospital, Athens, GRC.
Hellenic Red Cross · GRHospital HLA Mediterráneo · ESNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant adrenal myelolipoma is a rare, benign, sizable, mesenchymal tumor. Preoperative differential diagnosis from retroperitoneal liposarcoma may be challenging. A 66-year-old female patient was admitted because of a sizable tumor at the right retroperitoneal space, incidentally discovered during abdominal ultrasonography for screening purpose. Preoperative imaging studies were indicative for the diagnosis of a giant adrenal myelolipoma (11.7 × 12.9 cm in size); however, a retroperitoneal liposarcoma could not be excluded. We decided to proceed with tumor's surgical removal by using laparoscopic transperitoneal approach and three-dimensional high-definition camera. Intraoperatively, the tumor did not infiltrate surrounding tissues and was surrounded by a thin capsule under which there were sparse, orange-colored spots that resembled adrenal cortex. This finding reinforced the initial and most possible diagnosis of adrenal myelolipoma and we easily enucleated the mass. Postoperative course was uneventful, and the patient demonstrated no recurrence on imaging six months postoperatively. Histology confirmed the diagnosis of giant adrenal myelolipoma, measuring 16.5 x 15 x 6.5 cm.

Indexed as

adrenal myelolipomalaparoscopyretroperitoneal tumor

Identifiers

PMID32051795
PMCPMC7001128
OpenAlexW3000416622

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.