Evidence map›Paper›PMID 40292550›Full record

ReviewThe Journal of international medical research2025

Spontaneous ovarian hyperstimulation syndrome mimicking ovarian cancer in a nonpregnant woman: A case report and literature review.

Setare Akhavan, Morteza Daraei, Faeze Salahshour, Mina Sadat Mosavat

Abstract readCase ReportsReview
In one paragraph

Review in The Journal of international medical research, 2025. 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. 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.

Setare AkhavanVali-e-Asr Reproductive Health Research Center, Family Health Research Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Iran.
Morteza DaraeiInternal Medicine Department of Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Iran.
Faeze SalahshourDepartment of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Iran.
Mina Sadat MosavatVali-e-Asr Reproductive Health Research Center, Family Health Research Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Iran.ORCID 0009-0006-1379-7436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous ovarian hyperstimulation syndrome is an extremely rare condition, especially in nonpregnant women who do not exhibit exogenous ovarian stimulation. Herein, we present a case of spontaneous ovarian hyperstimulation syndrome in a 28-year-old nonpregnant woman who presented with life-threatening multiorgan dysfunction. Initial imaging studies and tumor marker assessment suggested the presence of a malignant ovarian tumor, posing substantial diagnostic challenges. The patient underwent emergency surgery due to severe hemorrhagic shock. Intraoperative findings revealed irregular and deformed ovaries; however, histologic examination showed luteinizing hemorrhagic cysts, leading to a diagnosis of spontaneous ovarian hyperstimulation syndrome. This case highlights the importance of considering spontaneous ovarian hyperstimulation syndrome in the differential diagnosis of ovarian enlargement with ascites, even in the absence of pregnancy or ovarian stimulation. It also underscores the critical role of expert radiological interpretation in such complex cases.

Indexed as

Ovarian Hyperstimulation SyndromeOvarian NeoplasmsAdultDiagnosis, DifferentialFemaleHumansOvarycase reportmultiorgan failureovarian cystsovarian hemorrhageSpontaneous ovarian hyperstimulation syndrome

Identifiers

PMID40292550
PMCPMC12038210

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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.