Evidence map›Paper›PMID 26430671›Full record

ArticleObstetrics & gynecology science2015

Adult granulosa cell tumor presenting with massive ascites, elevated CA-125 level, and low (18)F-fluorodeoxyglucose uptake on positron emission tomography/computed tomography.

Ji Young Tak, Gun Oh Chong, Ji Y Park, Seung Jeong Lee, Yoon Hee Lee, Dae Gy Hong

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Obstetrics & gynecology science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Adult-type granulosa cell tumor of the ovary.American journal of cancer research · 2022
    Review
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.

Ji Young TakDepartment of Obstetrics and Gynecology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.
Gun Oh ChongDepartment of Obstetrics and Gynecology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.
Ji Y ParkDepartment of Pathology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.
Seung Jeong LeeDepartment of Obstetrics and Gynecology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.
Yoon Hee LeeDepartment of Obstetrics and Gynecology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.
Dae Gy HongDepartment of Obstetrics and Gynecology, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adult granulosa cell tumors (AGCTs) presenting with massive ascites and elevated serum CA-125 levels have rarely been described in the literature. An ovarian mass, massive ascites, and elevated serum CA-125 levels in postmenopausal women generally suggest a malignant ovarian tumor, particularly advanced epithelial ovarian cancer. AGCT has low (18)F-fluorodeoxyglucose uptake on positron emission tomography/computed tomography due to its low metabolic activity. In the present report, we describe a case of an AGCT with massive ascites, elevated serum CA-125 level, and low (18)F-fluorodeoxyglucose uptake on positron emission tomography/computed tomography.

Indexed as

18F-fluorodeoxyglucoseAdult granulosa cell tumorCA-125Massive ascitesPositron emission tomography/computed tomography

Identifiers

PMID26430671
PMCPMC4588851

What OpenQuestion holds

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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.