Evidence map›Paper›PMID 35145981›Full record

ArticleFrontiers in medicine2021

Prognostic Value of Ki-67 Index in Patients With Endometrial Stromal Sarcoma.

Yu Meng, Quan Quan, Fenfen Zhang, Yao Liu, Siling Ren, Xiaoling Mu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
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  8. High-grade endometrial stromal sarcoma withGynecologic oncology reports · 2023
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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

6 authors.

Yu MengDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Quan QuanDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fenfen ZhangDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yao LiuDepartment of Obstetrics and Gynecology, Chengdu First People Hospital, Chengdu, China.
Siling RenDepartment of Obstetrics, Chongqing Fuling District Maternal and Child Health Care, Chongqing, China.
Xiaoling MuDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Ki-67 index is used to evaluate cell proliferation activity, which is related to tumor progression, metastasis, and prognosis. We aimed to explore the prognostic value of Ki-67 index in endometrial stromal sarcoma and to explore the optimal cut-off value of Ki-67 index for predicting recurrent endometrial stromal sarcoma.

methodsA total of 82 patients with endometrial stromal sarcoma who were treated in our hospital were collected. Clinicopathological data of these patients were retrospectively analyzed. Ki-67 index was detected by the immunohistochemical method. Receiver operating characteristic curve and the Youden index were performed to determine the optimal cut-off value of Ki-67 index for predicting recurrent endometrial stromal sarcoma. The Cox regression was performed to analyze risk factors affecting prognosis of endometrial stromal sarcoma. The Kaplan-Meier method and Log-rank test were performed to analyze the survival of patients.

resultsThe optimal cut-off value of Ki-67 index for predicting recurrent endometrial stromal sarcoma was 35%. The results of univariate analysis showed that high Ki-67 index (≥35%) was statistically significantly bound up with shorter progress free survival and overall survival. The results of multivariate analysis showed that Ki-67 index (

conclusionsA Ki-67 index cut-off of 35% was optimal for predicting recurrent endometrial stromal sarcoma. Ki-67 index may be a useful prognostic marker in endometrial stromal sarcoma.

Indexed as

endometrial stromal sarcomaKi-67predictprognosisrecurrence

Identifiers

PMID35145981
PMCPMC8821648

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