Evidence map›Paper›PMID 29593653›Full record

ArticleFrontiers in endocrinology2018

Identification of Metabolomic Biomarkers for Endometrial Cancer and Its Recurrence after Surgery in Postmenopausal Women.

Yannick Audet-Delage, Lyne Villeneuve, Jean Grégoire, Marie Plante, Chantal Guillemette

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  13. Cervicovaginal Metabolome and Tumor Characteristics for Endometrial Cancer Detection and Risk Stratification.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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

5 authors at 3 institutions in 1 country.

Yannick Audet-DelageCentre Hospitalier Universitaire (CHU) de Québec Research Center, Faculty of Pharmacy, Laval University, Québec, QC, Canada.
Lyne VilleneuveCentre Hospitalier Universitaire (CHU) de Québec Research Center, Faculty of Pharmacy, Laval University, Québec, QC, Canada.
Jean GrégoireGynecologic Oncology Service, CHU de Québec, Department of Obstetrics, Gynecology, and Reproduction, Faculty of Medicine, Laval University, Québec, QC, Canada.
Marie PlanteGynecologic Oncology Service, CHU de Québec, Department of Obstetrics, Gynecology, and Reproduction, Faculty of Medicine, Laval University, Québec, QC, Canada.
Chantal GuillemetteCentre Hospitalier Universitaire (CHU) de Québec Research Center, Faculty of Pharmacy, Laval University, Québec, QC, Canada.
Centre hospitalier universitaire de Québec · CAThe Society of Gynecologic Oncology of Canada · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is the most frequent gynecological cancer in developed countries. Most EC occurs after menopause and is diagnosed as endometrioid (type I) carcinomas, which exhibit a favorable prognosis. In contrast, non-endometrioid (type II) carcinomas such as serous tumors have a poor prognosis. Our goal was to identify novel blood-based markers associated with EC subtypes and recurrence after surgery in postmenopausal women. Using mass spectrometry-based untargeted metabolomics, we examined preoperative serum metabolites among control women (

Indexed as

blood-based biomarkersendometrial cancermass spectrometrymetabolomicsrecurrence

Identifiers

PMID29593653
PMCPMC5857535
OpenAlexW2792231744

What Socratic 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 Socratic graph.