Evidence map›Paper›PMID 33951981›Full record

ReviewThe Journal of international medical research2021

Anaplastic carcinoma showing rhabdoid features combined with ovarian mucinous borderline cystadenoma: a case report and literature review.

Tingting Sun, Liming Tian, Yunyun Guo, Yu Zheng, Linglong Ouyang, Xianbin Zhang, Yingrong Lai, Guofen Yang

Open access · goldAbstract readCase ReportsReview
In one paragraph

Review in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Tingting SunDepartment of Gynecology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Liming TianDepartment of Gynecology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Yunyun GuoDepartment of Gynecology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Yu ZhengDepartment of Gynecology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Linglong OuyangDepartment of Gynecology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Xianbin ZhangDepartment of General Surgery, Shenzhen University General Hospital, Shenzhen, China.
Yingrong LaiDepartment of Pathology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.
Guofen YangDepartment of Gynecology, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China.ORCID https://orcid.org/0000-0002-1199-4624
Sun Yat-sen University · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaplastic carcinoma in an ovarian tumor (ACOT) is rare. There have been a few controversial cases illustrating the clinical characteristics and prognostic factors of ACOT, which are not well known. A 60-year-old Chinese woman presented with a large pelvic tumor. A transvaginal ultrasound examination showed a large single ovarian cystic tumor with mural nodules and ascites. A gross ovarian mass with a size of approximately 20 × 10×15 cm

Indexed as

CarcinomaCystadenomaCystsOvarian NeoplasmsFemaleHumansMiddle AgedNeoplasm Recurrence, LocalAnaplastic carcinomachemotherapyimmunohistochemistrymural noduleovarian mucinous borderline cystadenomaovarian neoplasm

Identifiers

PMID33951981
PMCPMC8113938
OpenAlexW3159162378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.