Evidence map›Paper›PMID 37986077›Full record

ArticleWorld journal of surgical oncology2023

Comparison of clinical characteristics and prognosis in endometrial carcinoma with different pathological types: a retrospective population-based study.

Gong Zhang, Fangfang Nie, Weinan Zhao, Pin Han, Jing Wen, Xiaoran Cheng, Weijia Wu, Qianwen Liu, Yi Sun, Yuanpei Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.0field-weighted citation impact, top 8% 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.

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3 · Its place in the literature

Who cites it

4 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

12 authors at 2 institutions in 1 country.

Gong Zhang *Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Fangfang Nie *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Weinan Zhao *Department of Obstetrics and Gynecology, Xuchang Central Hospital, Xuchang, Henan, China.
Pin HanDepartment of Obstetrics and Gynecology, Luoyang Maternal and Child Health Care Hospital, Luoyang, Henan, China.
Jing WenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xiaoran ChengDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Weijia WuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Qianwen LiuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yi SunDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuanpei WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuchen LiuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Fang RenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. renfang@foxmail.com.
First Affiliated Hospital of Zhengzhou University · CNXuzhou Central Hospital · CN

Funding

Scientific Research and Innovation Team of The First Affiliated Hospital of Zhengzhou University ZYCXTD2023004the Health Commission of Henan Province 222300420091
6 · The paper itself

Abstract

backgroundEndometrial carcinoma (EC) is the second most common gynecological malignancy, and the differences between different pathological types are not entirely clear. Here, we retrospectively collected eligible EC patients to explore their differences regarding clinical characteristics and prognosis.

methodsFive hundred seventy EC patients from the First Affiliated Hospital of Zhengzhou University were included. Prognostic factors were measured using the univariate/multivariate Cox models. Overall survival (OS) and progression-free survival (PFS) were the primary and secondary endpoints, respectively.

resultsIn total, 396 patients with uterine endometrioid carcinoma (UEC), 106 patients with uterine serous carcinoma (USC), 34 patients with uterine mixed carcinoma (UMC), and 34 patients with uterine clear cell carcinoma (UCCC) were included. Comparison of baseline characteristics revealed patients diagnosed with UEC were younger, had more early clinical stage, and had lower incidence of menopause and lymph node metastasis. Compared to UEC, other pathological EC obtained more unfavorable OS (UCCC: HR = 12.944, 95%CI = 4.231-39.599, P < 0.001; USC: HR = 5.958, 95%CI = 2.404-14.765, P < 0.001; UMC: HR = 1.777, 95%CI = 0.209-15.114, P = 0.599) and PFS (UCCC: HR = 8.696, 95%CI = 1.972-38.354, P = 0.004; USC: HR = 4.131, 95%CI = 1.243-13.729, P = 0.021; UMC: HR = 5.356, 95%CI = 0.935-30.692, P = 0.060). Compared with UEC patients, the OS of UCCC patients in stage I-II and USC patients in stage III-IV were significantly worse, while UMC patients in stage I-II favored poorer PFS. The OS of UCCC patients receiving no postoperative adjuvant therapy or chemotherapy alone were significantly worse.

conclusionsThe baseline characteristics of UEC and other rare EC types varied greatly, and the prognostic significance of different pathological types on EC patients depended on clinical tumor stages and therapeutic options.

Indexed as

CarcinomaEndometrial NeoplasmsUterine NeoplasmsFemaleHumansNeoplasm StagingPrognosisRetrospective StudiesEndometrial carcinomaPrognosisUterine clear cell carcinomaUterine endometrioid carcinomaUterine serous carcinoma, Uterine mixed carcinoma

Identifiers

PMID37986077
PMCPMC10662672
OpenAlexW4388839924

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.