Evidence map›Paper›PMID 37461790›Full record

ArticleCureus2023

Early-Stage, BRCA-Associated Ovarian Cancer Detected by Papanicolaou Smear: A Case Report.

Yun-Han Su, Hsiu-Wei Su, Chih-Ku Liu, Chien-Hsing Lu, Shih-Tien Hsu

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. 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
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Yun-Han SuDepartment of Obstetrics, Gynecology & Women's Health, Taichung Veterans General Hospital, Taichung, TWN.
Hsiu-Wei SuDepartment of Obstetrics, Gynecology & Women's Health, Taichung Veterans General Hospital, Taichung, TWN.
Chih-Ku LiuDepartment of Obstetrics, Gynecology & Women's Health, Taichung Veterans General Hospital, Taichung, TWN.
Chien-Hsing LuDepartment of Obstetrics, Gynecology & Women's Health, Taichung Veterans General Hospital, Taichung, TWN.
Shih-Tien HsuDepartment of Obstetrics, Gynecology & Women's Health, Taichung Veterans General Hospital, Taichung, TWN.
China Medical University · TWNational Chung Hsing University · TWTaichung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically known as a "silent killer", ovarian cancer is often diagnosed at an advanced stage. We describe an unusual case of stage I, ovarian, high-grade serous carcinoma detected by a routine Papanicolaou (PAP) smear, with no abnormal physical, imaging, or laboratory findings. A 53-year-old woman with newly diagnosed triple-negative breast cancer received a screening Pap smear, which showed malignant cells not coming from the breast or uterine cervix. Pelvic examination, cervical biopsy, and gynecologic ultrasonography found no abnormality. Endometrial curettage yielded free-floating adenocarcinoma cells. The immunohistochemical stain result indicated ovary or fallopian tube cancer. Complete cytoreductive surgery was performed, and high-grade serous carcinoma of bilateral ovaries, FIGO stage IB, was diagnosed. Although extremely rare, when malignant cells not originating from the uterine cervix are detected on a Pap smear, it may lead to an early diagnosis of ovarian cancers, and this warrants further comprehensive workup.

Indexed as

abnormal pap smearcancer screeningearly cancer detectiongynecological pathologyovarian cancer

Identifiers

PMID37461790
PMCPMC10349685
OpenAlexW4380853995

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.