Evidence map›Paper›PMID 33845451›Full record

ArticleEndocrinology, diabetes & metabolism case reports2021

Giant bilateral adrenal lipoma in a patient with congenital adrenal hyperplasia.

Tina Kienitz, Jörg Schwander, Ulrich Bogner, Michael Schwabe, Thomas Steinmüller, Marcus Quinkler

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Tina KienitzEndocrinology in Charlottenburg, Stuttgarter Platz 1, Berlin, Germany.
Jörg SchwanderEndocrinology in Charlottenburg, Stuttgarter Platz 1, Berlin, Germany.
Ulrich BognerEndocrinology in Charlottenburg, Stuttgarter Platz 1, Berlin, Germany.
Michael SchwabePathology, DRK-Kliniken Westend, Berlin, Germany.
Thomas SteinmüllerDepartment of Abdominal and Endocrine Surgery, DRK-Kliniken Westend, Berlin, Germany.
Marcus QuinklerEndocrinology in Charlottenburg, Stuttgarter Platz 1, Berlin, Germany.
DRK Kliniken Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryApart from adrenal myelolipomas, adrenal lipomatous tumors are rare and only seldom described in the literature. We present the case of a 50-year-old man, with a classical form of congenital adrenal hyperplasia (CAH), which was well treated with prednisolone and fludrocortisone. The patient presented with pollakisuria and shortness of breath while bending over. On MRI, fat-equivalent masses were found in the abdomen (14 × 19 × 11 cm on the right side and 10 × 11 × 6 cm on the left side). The right adrenal mass was resected during open laparotomy and the pathohistological examination revealed the diagnosis of an adrenal lipoma. Symptoms were subdued totally postoperatively. This is the first report of a bilateral adrenal lipoma in a patient with CAH that we are aware of. LEARNING POINTS: Macronodular hyperplasia is common in patients with congenital adrenal hyperplasia (CAH). Solitary adrenal tumors appear in approximately 10% of adult CAH patients and are often benign myelolipomas. The Endocrine Society Clinical Practice Guideline does not recommend routine adrenal imaging in adult CAH patients. Adrenal imaging should be performed in CAH patients with clinical signs for an adrenal or abdominal mass. Adrenal lipoma is rare and histopathological examinations should rule out a differentiated liposarcoma.

Identifiers

PMID33845451
PMCPMC8052563
OpenAlexW3146439454

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.