Evidence map›Paper›PMID 36107540›Full record

ArticleMedicine2022

Uterine tumor resembling ovarian sex cord tumor: A rare case report.

Xue-Ying Wang, Mao-Chun Zhang, Jiao Chen, Jiang-Hua Huang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2022. 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
0.7field-weighted citation impact, top 28% 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, 4 citations in OpenAlex.

  1. Review
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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

4 authors at 2 institutions in 1 country.

Xue-Ying WangDepartment of Ultrasound, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan ProvinceChina.ORCID 0000-0001-8288-88050000-0001-8288-8805
Mao-Chun ZhangDepartment of Obstetrics and Gynecology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan ProvinceChina.
Jiao ChenDepartment of Obstetrics and Gynecology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan ProvinceChina.
Jiang-Hua HuangDepartment of Ultrasound, the Second Clinical Medical College of North Sichuan Medical College, Nanchong, Sichuan ProvinceChina.
Affiliated Hospital of North Sichuan Medical College · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleA uterine tumor resembling an ovarian sex cord tumor (UTROSCT) is a clinically rare disease with an unclear origin and biological behavior. PATIENT CONCERNS: We present a case of UTROSCT in a 42-year-old woman who presented with abnormally increased menstrual volume for 2 years. DIAGNOSES: Initially, only ultrasound examination was performed to diagnose uterine fibroids, and then the tumor was surgically removed and sent for pathological examination. The patient was ultimately diagnosed with UTROSCT mainly based on pathological immunohistochemical examination and was further diagnosed with low malignant potential for recurrence based on genetic testing. INTERVENTIONS AND OUTCOMES: The patient underwent hysterectomy and bilateral adnexectomy, and no adjuvant radiotherapy or chemotherapy was performed after the surgery. Follow-up to date has indicated that she is in good condition. LESSONS: UTROSCT is a rare disease that requires pathological immunohistochemical examination to confirm the diagnosis and genetic testing when necessary so that a clear diagnosis can inform better decision-making regarding treatment measures.

Indexed as

Sex Cord-Gonadal Stromal TumorsUterine NeoplasmsAdultFemaleHumansOvaryRare DiseasesUterus

Identifiers

PMID36107540
PMCPMC9439761
OpenAlexW4294301105

What OpenQuestion holds

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LicenceCC BY
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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.