Evidence map›Paper›PMID 33718224›Full record

ArticleFrontiers in oncology2021

Tumor Molecular Features Predict Endometrial Cancer Patients' Survival After Open or Minimally Invasive Surgeries.

Yibo Dai, Jingyuan Wang, Luyang Zhao, Zhiqi Wang, Jianliu Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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, 10 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Yibo DaiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Jingyuan WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Luyang ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Zhiqi WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Jianliu WangDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Cancer Genome Atlas (TCGA) project shed light on the vital role of tumor molecular features in predicting endometrial cancer patients' prognosis. This study aims to investigate the survival impact of surgical approaches on patients with different genetic alterations.

methods473 endometrial cancer patients from TCGA database were selected. To analyze the prognostic impact of surgical approach, survival analyses were conducted in patients with different molecular features. Finally, a simplified molecular stratification model was established to select patients suitable for open or minimally invasive surgery (MIS).

resultsIn our cohort, 291 patients received open surgery and 182 received MIS. Molecular features influenced patients' survival after different surgical approaches. Based on survival analyses, three molecular subtypes were generated, with subtype 1 harboring

conclusionThe molecular features of endometrial cancer are associated with patients' prognosis after different surgical approaches. MIS should be recommended in patients with

Indexed as

endometrial neoplasmsminimally invasive surgical proceduresmolecular featuresrecurrencesurvival

Identifiers

PMID33718224
PMCPMC7952993
OpenAlexW3135871185

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.