Evidence map›Paper›PMID 32774497›Full record

ArticleOncology letters2020

Decreased secretoglobin family 2A member 1expression is associated with poor outcomes in endometrial cancer.

Hongyu Zhou, Xuan Zou, Haoran Li, Tianjiao Li, Lihua Chen, Xi Cheng

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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 at 1 institution in 1 country.

Hongyu ZhouDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Xuan ZouDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Haoran LiDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Tianjiao LiDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Lihua ChenDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Xi ChengDepartment of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China.
Fudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer is the most common malignancies in developed countries. The present study aimed to identify the role of secretoglobin family 2A member 1 (SCGB2A1) expression in uteri corpus endometrial carcinoma (UCEC) from The Cancer Genome Atlas (TCGA) database, and determine the SCGB2A1-associated downstream signaling pathways. The clinicopathological characteristics and gene expression data were downloaded from TCGA database. The Kaplan-Meier method and Cox multivariate model were used for survival analysis. Logistic regression was used to analyze the association between the clinicopathological features and SCGB2A1 expression. For validation, data of SCGB2A1 mRNA expression and protein expression were obtained and then survival analysis was performed for 47 patients with endometrial cancer from the Fudan University Shanghai Cancer Center (FUSCC). In TCGA dataset,

Indexed as

biomarkerprognosissecretoglobin family 2A member 1The Cancer Genome Atlasuteri corpus endometrial carcinoma

Identifiers

PMID32774497
PMCPMC7406884
OpenAlexW3042662922

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.