Evidence mapPaperPMID 33957998Full record

SynthesisStem cell research & therapy2021

Efficacy of mesenchymal stem cell transplantation therapy for type 1 and type 2 diabetes mellitus: a meta-analysis.

Yanju Li, Feiqing Wang, Huiling Liang, Dongxin Tang, Mei Huang, Jianing Zhao, Xu Yang, Yanqing Liu, Liping Shu, Jishi Wang and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Stem cell research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 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

12 authors.

Yanju Li *Department of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.
Feiqing Wang *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.ORCID 0000-0002-4297-1839
Huiling Liang *Department of Scientific Research, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, Guizhou Province, China.
Dongxin TangDepartment of Scientific Research, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, Guizhou Province, China.
Mei HuangDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.
Jianing ZhaoDepartment of Scientific Research, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, Guizhou Province, China.
Xu YangDepartment of Scientific Research, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, Guizhou Province, China.
Yanqing LiuDepartment of Scientific Research, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, 550001, Guizhou Province, China.
Liping ShuNational & Guizhou Joint Engineering Laboratory for Cell Engineering and Biomedicine Technique, Guizhou Province Key Laboratory of Regenerative Medicine, Key Laboratory of Adult Stem Cell Translational Research, Chinese Academy of Medical Sciences, Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.
Jishi WangDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China. wjsgzhp@163.com.
Zhixu HeDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China. hzxgzzy@163.com.
Yang LiuDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China. ly7878@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis meta-analysis was first conducted to evaluate the efficacy and safety of transplantation of mesenchymal stem cells in the treatment of type 1 and type 2 diabetes mellitus (T1DM and T2DM).

methodsWe systematically searched PubMed, ScienceDirect, Google Scholar, CNKI, EMBASE, Web of Science, MEDLINE, and the Cochrane Library for studies published from the establishment of the databases to November 2020. Two researchers independently screened the identified studies, based on inclusion and exclusion criteria. The combined standard mean difference (SMD) and 95% confidence interval (CI) of data from the included studies were calculated using fixed- or random-effects models.

resultsWe included 10 studies in our meta-analysis (4 studies on T1DM and 6 on T2DM, with 239 participants) to examine the efficacy of mesenchymal stem cells (MSCs) therapy in the treatment of diabetes mellitus. According to the pooled estimates, the glycated hemoglobin (HbA1c) level of the MSC-treated group was significantly lower than it was at baseline (mean difference (MD) = -1.51, 95% CI -2.42 to -0.60, P = 0.001). The fasting C-peptide level of the MSC-treated group with T1DM was higher than that of the control group (SMD = 0.89, 95% CI 0.36 to 1.42, P = 0.001), and their insulin requirement was significantly lower than it was at baseline (SMD = -1.14, 95% CI -1.52 to -0.77, P < 0.00001).

conclusionTransplantation of mesenchymal stem cells has beneficial effects on diabetes mellitus, especially T1DM, and no obvious adverse reactions.

Indexed as

Diabetes Mellitus, Type 2Mesenchymal Stem CellsMesenchymal Stem Cell TransplantationBlood GlucoseGlycated HemoglobinHumansInsulinBlood GlucoseGlycated HemoglobinInsulinDiabetes mellitusMesenchymal stem cellsTransplantation therapyType 1 diabetes mellitusType 2 diabetes mellitus

Identifiers

PMID33957998
PMCPMC8101194

What Socratic holds

Textmetadata
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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 Socratic graph.