Evidence map›Paper›PMID 25544793›Full record

ArticleDisease markers2014

ZEB1 expression in endometrial biopsy predicts lymph node metastases in patient with endometrial cancer.

Gang Feng, Xiangming Wang, Xiaozhi Cao, Lijuan Shen, Jiansheng Zhu

Abstract read
In one paragraph

Article in Disease markers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Gang FengClinical Genetics Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241001, China.
Xiangming WangDepartment of Pathology, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241001, China.
Xiaozhi CaoDepartment of Pathology, The Second Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241001, China.
Lijuan ShenDepartment of Pathology, Wuhu Hospital of Traditional Chinese Medicine, Wuhu, Anhui 241001, China.
Jiansheng ZhuMolecular Pathological Laboratory, Maternal and Child Health Hospital of Anhui Province, Anhui Medical University, Hefei, Anhui 230001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to analyze the expression of zinc-finger E-box-binding homeobox 1 (ZEB1) in endometrial biopsy and its correlation with preoperative characteristics, including lymph node metastases in patient with endometrial cancer.

methodsUsing quantitative RT-PCR, ZEB1 expressions in endometrial biopsy from 452 patients were measured. The relationship between ZEB1 expression and preoperative characteristics was analyzed.

resultsZEB1 expressions were significantly associated with subtype, grade, myometrial invasion, and lymph node metastases. Lymph node metastases could be identified with a sensitivity of 57.8% at specificity of 74.1% by ZEB1 expression in endometrial biopsy. Based on combination of preoperative characteristics and ZEB1 expression, lymph node metastases could be identified with a sensitivity of 62.1% at specificity of 96.2% prior to hysterectomy.

conclusionZEB1 expression in endometrial biopsy could help physicians to better predict the lymph node metastasis in patients with endometrial cancer prior to hysterectomy.

Indexed as

AgedBiomarkers, TumorBiopsyEndometrial NeoplasmsEndometriumFemaleHomeodomain ProteinsHumansLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm InvasivenessROC CurveTranscription FactorsZinc Finger E-box-Binding Homeobox 1Biomarkers, TumorHomeodomain ProteinsTranscription FactorsZEB1 protein, humanZinc Finger E-box-Binding Homeobox 1

Identifiers

PMID25544793
PMCPMC4269209

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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.