Evidence map›Paper›PMID 34149999›Full record

ArticleAmerican journal of translational research2021

Placenta inflammation is closely associated with gestational diabetes mellitus.

Xue Pan, Xin Jin, Jun Wang, Qing Hu, Bing Dai

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 3 pooled it
13.7field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 3 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
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  3. Chemokines in Gestational Diabetes Mellitus.Frontiers in immunology · 2022
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52 more citing papers are in PubMed but not listed here.

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.

Xue PanDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University Shenyang, China.
Xin JinDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University Shenyang, China.
Jun WangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University Shenyang, China.
Qing HuDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University Shenyang, China.
Bing DaiDepartment of Pediatric, Shengjing Hospital of China Medical University Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the potential role of placenta inflammation in gestational diabetes mellitus (GDM) and construct a model for the diagnosis of GDM.

methodsIn this study, transcriptome-wide profiling datasets, GSE70493 and GSE128381 were downloaded from Gene Expression Omnibus (GEO) database. Significant immune-related genes were identified separately to be the biomarkers for the diagnosis of GDM by using random forest model (RF), support vector machine model (SVM), and generalized linear model (GLM).

resultsRF was the best model and was used to select the four key immune-related genes (FABP4, DKK1, CXCL10, and IL1RL1) to diagnose GDM. A nomogram model was constructed to predict GDM based on the four key immune-related genes by using "rms" package. The relative proportion of 22 immune cell types were calculated by using CIBERSORT algorithm. Higher M1 macrophage ratio and lower M2 macrophage ratio in GDM placenta compared to normal patients were observed.

conclusionsThis study provides clues that inflammation was correlated with GDM and suggests inflammation may be the cause and also the potential targets of GDM.

Indexed as

consensus clusteringGDMimmune-related genesinflammationnomogramplacenta

Identifiers

PMID34149999
PMCPMC8205654
OpenAlexW3174286082

What OpenQuestion holds

Textmetadata
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.