Evidence map›Paper›PMID 24696734›Full record

ReviewInternational journal of clinical and experimental pathology2014

Sertoli-Leydig cell tumor with heterologous element: a case report and a review of the literature.

Longwen Chen, Cairo Dana Tunnell, Giovanni De Petris

Open access · greenAbstract readCase ReportsReview
In one paragraph

Review in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 17 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 2 institutions in 1 country.

Longwen ChenDepartment of Laboratory Medicine and Pathology, Mayo Clinic Arizona Scottsdale, Arizona, USA.
Cairo Dana TunnellDepartment of Pathology, Medical Center of Central Georgia Macon, Georgia, USA.
Giovanni De PetrisDepartment of Laboratory Medicine and Pathology, Mayo Clinic Arizona Scottsdale, Arizona, USA.
Mayo Clinic in Arizona · USNavicent Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The patient was a 19-year-old female who presented with a chief complaint of progressive pelvic pain. Preoperative ultrasound of the right ovary revealed an ovarian torsion as the cause of the patient's progressive pain. Laparoscopy confirmed the torsion and revealed a right ovary measuring 10 cm in greatest diameter. Intraoperative incision into the ovary revealed a simple ovarian cystic mass measuring 3.0 x 1.5 x 0.8 cm. A solid component within the cyst was identified. Histological sections of the cystic mass demonstrated mononuclear and hyperchromatic Sertoli cells with a trabecular growth pattern. Clusters of medium-sized epithelioid cells with abundant eosinophilic cytoplasm consistent with Leydig cells were also identified between the trabeculae of Sertoli cells. In addition, focal areas of intestinal type mucinous epithelium were identified embedded within the trabeculae of Sertoli cells. Immunohistochemical studies revealed that the Sertoli cells were positive for calretinin (bright) while the Leydig cells were positive for calretinin (dim), inhibin, CAM5.2 and AE1&3. CEA showed positivity mainly of the intraluminal contents of the mucinous type intestinal epithelium. The patient had an uneventful post-operative course and was disease-free for 3 years.

Indexed as

Biomarkers, TumorFemaleHumansSertoli-Leydig Cell TumorYoung AdultBiomarkers, Tumorheterologous elementsmucinous epitheliumSertoli-Leydig cell tumor

Identifiers

PMID24696734
PMCPMC3971324
OpenAlexW1535388681

What OpenQuestion holds

Textmetadata
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.