Evidence map›Paper›PMID 30984273›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2019

MicroRNAs in the Progress of Diabetic Nephropathy: A Systematic Review and Meta-Analysis.

Li-Ping Wang, Yu-Zhen Gao, Bin Song, Guo Yu, Hui Chen, Zhen-Wen Zhang, Cai-Feng Yan, Yun-Long Pan, Xiao-Yan Yu

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Li-Ping WangDepartment of Biobank, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.ORCID 0000-0002-6771-6498
Yu-Zhen GaoDepartment of Biobank, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.ORCID 0000-0001-7485-5237
Bin SongDepartment of Endocrinology, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.
Guo YuDepartment of Biobank, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.
Hui ChenDepartment of Endocrinology, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.
Zhen-Wen ZhangDepartment of Endocrinology, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.
Cai-Feng YanDepartment of Endocrinology, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.
Yun-Long PanDepartment of Endocrinology, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China.ORCID 0000-0003-3722-1010
Xiao-Yan YuDepartment of Experimental Pharmacology and Toxicology, School of Pharmacy, Jilin University, Changchun, China.ORCID 0000-0001-5641-1675
Northern Jiangsu People's Hospital · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a systematic review and meta-analysis of existing literature to evaluate the different outcomes of microRNAs (miRNAs) in diabetic nephropathy (DN), including urinary albumin excretion rates, urinary albumin creatinine rates, glomerular filtration rate, HbAc1, and creatinine.

methodsElectronic databases including PUBMED, MEDLINE, and EMBASE were searched for eligible publications to July 2018. The following comparisons between treatment groups were included: normal group versus DN group; control group versus micro/macroalbuminuria group.

resultsTwelve eligible studies that included 2500 participants were finally recruited in this meta-analysis. Fifteen miRNAs (miRNA-21, miRNA-181b, miRNA-194, miRNA-30, miRNA-215, and others) were upregulated whereas seven miRNAs (miRNA-26a, miRNA-126, miRNA-424, miRNA-574-3p, miR-223, miR-155, and miR-192) were downregulated in the DN group compared with control groups. The miR-133b, miR-342, miR-30, miR-192, miR-194, and miR-215 were significantly correlated in urinary albumin excretion rates (r=0.33, 95% CI= 0.26-0.39). miR-192, miR-217, miR-15b, miR-34a, and miR-636 were correlated with urinary albumin creatinine rates (r=0.69; 95% CI=0.12-0.92), while miR-133b, miR-345, miR-33, miR-326, miR-574-3p, miR-126, miR-217, miR-15b, miR-34a, and miR-636 were significantly correlated with HbAc1 (r =0.23, 95% CI = 0.15-0.31). There were twelve miRNAs that were closely related to the glomerular filtration rate (r=0.28, 95% CI =0.21-0.34). Creatinine (r=0.33, 95% CI = 0.22-0.40) was significantly different between normal and DN groups.

conclusionsThe meta-analysis acquired the correlations between miRNAs and outcomes including UAER, UACR, eGFR, HbAc1, and creatinine in DN. It suggested that miRNAs may participate in the pathogenesis of DN process.

Identifiers

PMID30984273
PMCPMC6431481
OpenAlexW2921582523

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Registered trials

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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.