Evidence map›Paper›PMID 35814421›Full record

ArticleFrontiers in oncology2022

Association of Tumor Size With Prognosis in Patients With Resectable Endometrial Cancer: A SEER Database Analysis.

Xuefei Hou, Suru Yue, Jie Liu, Zhiqing Qiu, Liming Xie, Xueying Huang, Shasha Li, Liren Hu, Jiayuan Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 7 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

9 authors at 1 institution in 1 country.

Xuefei HouClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Suru YueClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jie LiuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zhiqing QiuDepartment of Pharmacy, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Liming XieDepartment of Pharmacy, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xueying HuangClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Shasha LiClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Liren HuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Jiayuan WuClinical Research Service Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the relationship between tumor size (Ts) and prognosis in endometrial cancer (EC). A total of 52,208 patients with EC who underwent total hysterectomy were selected from the Surveillance, Epidemiology, and End Results Program database. Overall survival (OS) and endometrial cancer-specific survival (ESS) were chosen as survival outcomes. The Cox proportional hazards model was used to explore the effect of Ts on prognosis. The restricted cubic splines based on the Cox regression model were used to determine the nonlinear relationship between Ts and survival. When Ts was analyzed as a categorical variable, the risk of death increased with Ts, with the highest risk in patients with Ts > 9 cm with regard to all-cause death (ACD) (hazard ratio [HR] 1.317; 95% confidence interval [CI], 1.196-1.450;

Indexed as

death riskendometrial cancerprognosisSEER databasetumor size

Identifiers

PMID35814421
PMCPMC9259839
OpenAlexW4283324283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.