Evidence map›Paper›PMID 35117616›Full record

ArticleTranslational cancer research2020

Prognosis of stage III cervical cancer: a two-way outcome study.

Huihui Zhou, Qi Li, Chunyan Xu, Hong Liang, Yanan Wang, Yani Duan, Min Song, Yaoxian Wang, Hong Jin, Tong Wang

Abstract read
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Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Huihui ZhouInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Qi LiDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Chunyan XuInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Hong LiangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Yanan WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Yani DuanInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Min SongDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Yaoxian WangDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Hong JinDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin 150081, China.
Tong WangInstitute of Keshan Disease, Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the second most common female malignancy worldwide, and the prognosis of patients with the locally advanced stage is poor, with a high risk of recurrent. This study aimed to explore the effect factors that influence the overall survival (OS), progression-free survival (PFS), and quality of life in patients with stage III cervical cancer.

methodsA two-way follow-up method was utilized to collect information from patients with stage III cervical cancer. Survival analyses were performed by the Kaplan-Meier method and Cox regression model. Multiple linear regression was used to analyze the factors related to quality of life.

resultsFour hundred and sixty subjects were enrolled in this study. The median follow-up time was 28 months (range, 1-51 months). The 3-year OS and PFS rates were 69.0% and 55.0%, respectively. Primiparous age above 30 years, age at diagnosis below 40 years, lymph node metastasis, non-squamous cell carcinoma, and larger tumors were risk factors of OS and PFS, while the protective factors were weight loss, good mental status, and standardized treatment. The quality of life was better in patients with the following characteristics: younger age at diagnosis, active review according to medical orders, and earlier return to society.

conclusionsPrimiparous age above 30 years was a poor prognostic factor for OS, PFS, and quality of life. The common factors relevant to prognosis were confirmed to be significant.

Indexed as

prognosisquality of liferisk factorsStage III cervical cancersurvival analysis

Identifiers

PMID35117616
PMCPMC8798898

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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.