Evidence map›Paper›PMID 32993576›Full record

ArticleBMC cancer2020

Establishment of multifactor predictive models for the occurrence and progression of cervical intraepithelial neoplasia.

Mengjie Chen, He Wang, Yuejuan Liang, Mingmiao Hu, Li Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Mengjie ChenGuangxi Medical University affiliated Cancer Hospital, NO.71 Hedi Road Qingxiu Square, Nanning City, Guangxi Province, China.ORCID https://orcid.org/0000-0002-5888-0974
He WangGuangxi Medical University affiliated Cancer Hospital, NO.71 Hedi Road Qingxiu Square, Nanning City, Guangxi Province, China.ORCID https://orcid.org/0000-0003-2209-9550
Yuejuan LiangGuangxi Medical University affiliated Cancer Hospital, NO.71 Hedi Road Qingxiu Square, Nanning City, Guangxi Province, China.ORCID https://orcid.org/0000-0003-2553-9718
Mingmiao HuGuangxi Medical University affiliated Cancer Hospital, NO.71 Hedi Road Qingxiu Square, Nanning City, Guangxi Province, China.ORCID https://orcid.org/0000-0001-9376-7857
Li LiGuangxi Medical University affiliated Cancer Hospital, NO.71 Hedi Road Qingxiu Square, Nanning City, Guangxi Province, China. gxlili0808@sina.com.ORCID https://orcid.org/0000-0001-7887-5286
Guangxi Medical University · CN

Funding

the 139 Medical High-level Talents Training Plan of Guangxi Province G201903032the Guangxi Medical Hygiene Appropriate Technology Development and Application Project S2018031the National Public Welfare Research Project 201402010the Thousand-Hundred-Ten Talent Project of Guangxi Province 2015226
6 · The paper itself

Abstract

backgroundTo study the risk factors involved in the occurrence and progression of cervical intraepithelial neoplasia (CIN) and to establish predictive models.

methodsGenemania was used to build a gene network. Then, the core gene-related pathways associated with the occurrence and progression of CIN were screened in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments were performed to verify the differential expression of the identified genes in different tissues. R language was used for predictive model establishment.

resultsA total of 10 genes were investigated in this study. A total of 30 cases of cervical squamous cell cancer (SCC), 52 cases of CIN and 38 cases of normal cervix were enrolled. Compared to CIN cases, the age of patients in the SCC group was older, the number of parities was greater, and the percentage of patients diagnosed with CINII+ by TCT was higher. The expression of TGFBR2, CSKN1A1, PRKCI and CTBP2 was significantly higher in the SCC groups. Compared to patients with normal cervix tissue, the percentage of patients who were HPV positive and were diagnosed with CINII+ by TCT was significantly higher. FOXO1 expression was significantly higher in CIN tissue, but TGFBR2 and CTBP2 expression was significantly lower in CIN tissue. The significantly different genes and clinical factors were included in the models.

conclusionsCombination of clinical and significant genes to establish the random forest models can provide references to predict the occurrence and progression of CIN.

Indexed as

AdultAlcohol OxidoreductasesCarcinoma, Squamous CellCo-Repressor ProteinsDisease ProgressionFemaleForkhead Box Protein O1Gene Expression Regulation, NeoplasticHumansIsoenzymesMiddle AgedNeoplasm ProteinsPapillomavirus InfectionsPrognosisProtein Kinase CProtein Kinase C-lambdaAlcohol OxidoreductasesCo-Repressor ProteinsCTBP2 protein, humanForkhead Box Protein O1FOXO1 protein, humanIsoenzymesNeoplasm ProteinsProtein Kinase CProtein Kinase C-lambdaReceptor, Transforming Growth Factor-beta Type IITGFBR2 protein, humanBioinformaticsCervical cancerCervical intraepithelial neoplasiaRandom forest model

Identifiers

PMID32993576
PMCPMC7523359
OpenAlexW3090972478

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.