Evidence map›Paper›PMID 34018370›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2021

[Using Immunohistochemical Markers and Clinicopathological Factors to Predict the Prognostic Survival of Different Types of Endometrial Cancer Recurrence].

Zhen Huang, Peng Jiang, Ming-Zhu Jia, Ling Li, Ying Deng, Li Lai, Zhuo-Ying Hu

Open access · greenAbstract read
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Observational
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

7 authors at 1 institution in 1 country.

Zhen HuangDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
Peng JiangDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
Ming-Zhu JiaDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
Ling LiDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
Ying DengDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
Li LaiDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
Zhuo-Ying HuDepartment of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo probe for factors that can be used effectively to predict the prognostic survival of patients with endometrial cancer recurrence.

methodsThe clinicopathological data of 473 patients with stage Ⅰ to Ⅲ endometrial cancer who underwent standard surgical treatment from October 2013 to May 2019 were retrospectively collected, and post-operative recurrence of the patients were followed up. Overall recurrence includes local recurrence and poor prognosis recurrence. The endpoint indicators of this study are the recurrence-free survival (RFS) and overall survival (OS) of patients with overall recurrence, local recurrence, and poor prognosis recurrence (PPR). The Kaplan-Meier survival curve was used to evaluate the OS and RFS of patients. Cox proportional-hazards model was used to identify factors affecting the prognostic survival of patients with endometrial cancer recurrence.

resultsAmong the 473 patients, 406 did not experience recurrence. A total of 67 patients, accounting for 14.2%, had recurrence. Among them, 27 had local recurrence, accounting for 5.7%, while 40 had poor prognosis recurrence, accounting for 8.5%. The median follow-up time of patients with recurrence was 38 months. The survival curve showed that the RFS and OS of the patients in the recurrence-free group remained unchanged, while the patients in the recurrence group, regardless of whether they had overall recurrence, local recurrence or PPR, experienced a decrease in RFS and OS(

conclusionFIGO stage Ⅲ, increased Ki-67 expression, and decreased ER expression can increase patients' risk of postoperative recurrence, and FIGO stage Ⅲ and decreased expression of PR can increase the risk of death in patients with recurrence.

Indexed as

Endometrial NeoplasmsNeoplasm Recurrence, LocalFemaleHumansNeoplasm StagingPrognosisRetrospective StudiesClinicopathological factorsEndometrial cancerImmunohistochemical indicatorsPoor prognosis recurrence

Identifiers

PMID34018370
PMCPMC10409198
OpenAlexW3162381530

What OpenQuestion holds

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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.