Evidence map›Paper›PMID 41426205›Full record

ArticleTherapeutic advances in urology

Successful treatment of a complex Skene's gland cyst: a case report.

Yingfei Chen, Yi Wang, Guihua Chen, Jialiang Shao, Xiang Wang

Abstract readCase Reports
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yingfei ChenDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi WangDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guihua ChenDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jialiang ShaoDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 85 Wujin Road, Hongkou District, Shanghai 200080, China.
Xiang WangDepartment of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 85 Wujin Road, Hongkou District, Shanghai 200080, China.ORCID https://orcid.org/0000-0001-5538-4310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to offer important diagnostic insights and a sensible treatment plan for such challenging situations by presenting an incredibly unusual example of Skene's gland cyst. We described a 39-year-old woman who suffered dysuria for 20 years with an acute exacerbation. Her sexual life was normal, and she did not exhibit any other significant clinical symptoms. However, positron emission tomography/computed tomography (PET/CT) and imaging tests gave contradictory results, with the former creating a high suspicion of malignancy, while the latter indicated a benign tumor. After a multidisciplinary discussion, a cautious treatment approach was adopted. Finally, the patient underwent a diagnostic puncture, and bacteriology detection, along with histological analysis, ultimately confirmed the diagnosis of a Skene's gland cyst. Following needle puncture biopsy and subsequent antibiotic therapy, follow-up assessments revealed that the mass disappeared. Importantly, the patient's clinical symptoms completely resolved, and no complications were observed. This case highlighted that puncture biopsy coupled with drainage was a safe and efficacious method, especially when faced with the challenge of diagnosing and treating paraurethral cystic masses.

Indexed as

diagnose strategyneedle puncture biopsySkene’s gland cyst

Identifiers

PMID41426205
PMCPMC12715133

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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.