Evidence map›Paper›PMID 38482453›Full record

ArticleTranslational cancer research2024

A postoperative tumor-specific death prediction model for patients with endometrial cancer: a retrospective study.

Hailong Chen, Weiwei Yan, Dechang Xu, Qi Wang, Ying Yu, Jing Huang, Qian Zhou, Wei Xiao, David Lukanovic, Fabio Barra and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2024. 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
0.6field-weighted citation impact, top 34% 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. Article
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 6 institutions in 3 countries.

Hailong Chen *Department of Gynecomatology, Ganzhou Cancer Hospital, Ganzhou, China.
Weiwei Yan *Department of Obstetrics and Gynecology, The First People's Hospital of Jiangxia District Wuhan City, Wuhan, China.
Dechang XuDepartment of Gynecomatology, Ganzhou Cancer Hospital, Ganzhou, China.
Qi WangDepartment of Gynecomatology, Ganzhou Cancer Hospital, Ganzhou, China.
Ying YuDepartment of Gynecomatology, Ganzhou Cancer Hospital, Ganzhou, China.
Jing HuangDepartment of Gynecomatology, Ganzhou Cancer Hospital, Ganzhou, China.
Qian ZhouDepartment of Vascular Hernia Surgery, Ganzhou People's Hospital, Ganzhou, China.
Wei XiaoDepartment of Gynecomatology, Ganzhou Cancer Hospital, Ganzhou, China.
David LukanovicDivision of Gynecology and Obstetrics, Ljubljana University Medical Center, Ljubljana, Slovenia.
Fabio BarraUnit of Obstetrics and Gynecology, P.O. "Ospedale del Tigullio"-ASL4, Metropolitan Area of Genoa, Genoa, Italy.
Alberto IzzottiUnit of Mutagenesis and Cancer Prevention, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Feizhou JiangDepartment of Obstetrics and Gynecology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China.
Ganzhou People's Hospital · CNLjubljana University Medical Centre · SIOspedale Policlinico San Martino · ITPresidio Ospedaliero · ITSoochow University · CNThe First People's Hospital of Jiangxia District · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometrial cancer (EC) is an epithelial malignancy occurring in the endometrium, with a 5-year mortality rate of above 10%. However, there is currently a lack of studies exploring the potential of a predictive model of tumor-specific death after surgery in these patients. Methods: From January 2015 to December 2017, data related to 482 patients with EC admitted to the Dushu Lake Hospital Affiliated to Soochow University were analyzed. Patients were divided into death (n=62) and survival (n=420) groups according to whether tumor-specific death occurred at 5 years postoperatively or not. The clinical characteristics of the two groups were compared, and the risk factors for tumor-specific death in patients with EC 5 years after surgery were investigated by logistics regression analysis. A nomogram prediction model was established according to the relevant risk factors. Results: Tumor size, Ki-67 positive rate, Federation International of Gynecology and Obstetrics (FIGO) stage, and the rate of vascular tumor thrombus between the two groups (P<0.05) were found to be the statistically significant factors. Positive Ki-67, tumor size >3.35 cm, stage III, and vascular tumor thrombus were factors that influenced the tumor-specific death at 5 years after surgery (P<0.05). The predictive model obtained an area under the receiver operating characteristic (ROC) curves in the training and verification sets of 0.847 [95% confidence interval (CI): 0.779-0.916] and 0.886 (95% CI: 0.803-0.969), respectively. Conclusions: The nomogram prediction model, which was established in this study, was proved to be valuable in predicting tumor-specific death 5 years after the surgery in patients with EC.

Indexed as

Endometrial cancer (EC)nomogrampredictive modelstumor-specific death

Identifiers

PMID38482453
PMCPMC10928644
OpenAlexW4391590188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.