Evidence map›Paper›PMID 32846779›Full record

Observational studyMedicine2020

Clinical features of 18 perivascular epithelioid cell tumor cases.

Rongfei Jia, Ling Jiang, Yuhong Zhou, Yan Wang, Xi Guo, Yuan Ji, Xiang Ni, Xiaoyan Yang

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 10 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

8 authors at 3 institutions in 1 country.

Rongfei JiaDepartment of Oncology, Central Hospital of Xuhui District.
Ling JiangDepartment of Oncology, Central Hospital of Xuhui District.
Yuhong ZhouDepartment of Oncology.
Yan WangDepartment of Oncology.
Xi GuoDepartment of Oncology.
Yuan JiDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiang NiDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoyan YangDepartment of Oncology, Central Hospital of Xuhui District.
Shanghai Xuhui Central Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the biological behavior and clinical characteristics of perivascular epithelioid cell tumor (PEComa).Eighteen PEComa patients admitted to Zhongshan Hospital and the Central Hospital of Xuhui District in China from January 2006 to October 2018 were included. All patients were diagnosed based on pathological findings and treated with surgical resection or medication.Among the 18 patients, 1 underwent lymph node biopsy for multiple enlarged lymph nodes and 17 underwent mass resection. The median disease-free survival was 22 months after the first resection and over 12 months following a second resection. Treatment with mechanistic target of rapamycin (mTOR) inhibitors was effective for patients with unresectable or metastatic lesions. The median progression-free survival was approximately 13 months.Surgery is the predominant treatment approach for PEComa and patients can benefit from multiple operations. mTOR inhibitors are considered for patients with multiple lesions or intolerance to surgery. Anti-angiogenetic drugs can be selected when mTOR inhibitors fail to control the illness.

Indexed as

AdultFemaleHumansMaleMiddle AgedPerivascular Epithelioid Cell NeoplasmsYoung Adult

Identifiers

PMID32846779
PMCPMC7447485
OpenAlexW3063198454

What OpenQuestion holds

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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.