Evidence map›Paper›PMID 31827641›Full record

SynthesisDisease markers2019

Association between MIC-1 and Type 2 Diabetes: A Combined Analysis.

Jianan Lu, Yue Zhang, Xingxuan Dong, Jiawen Lu, Chen Zhang, Jieyu Liu, Qingzhou Yu, Haoyue Teng, Qingkui Yao, Jieyun Yin and 1 more

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Circulating Cardiac Biomarkers in Diabetes Mellitus: A New Dawn for Risk Stratification-A Narrative Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Review
  9. 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

11 authors.

Jianan LuDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0002-9630-1793
Yue ZhangDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0001-6682-0093
Xingxuan DongDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0001-6791-4833
Jiawen LuDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0003-2671-3028
Chen ZhangDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0002-8385-0961
Jieyu LiuDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0002-3315-8598
Qingzhou YuDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0002-0762-2094
Haoyue TengDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0001-6457-6824
Qingkui YaoCommunity Health Service Center of Minglou, Subdistrict Jiangdong District, Ningbo, China.ORCID https://orcid.org/0000-0001-9750-7999
Jieyun YinDepartment of Epidemiology and Biostatics, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, 199 Ren Ai Road, Suzhou, China.ORCID https://orcid.org/0000-0002-5265-3930
Liqiang QinDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0002-5231-2562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesType 2 diabetes mellitus (T2DM) is an epidemic disease that endangers human health seriously. Recently, a large number of reports have revealed that macrophage-inhibiting cytokine-1 (MIC-1) is linked with T2DM, but the results were inconclusive. The aim of this study was to perform bioinformatics analysis of the association between MIC-1 and T2DM. MATERIAL AND

methodsDatasets and relevant literatures were searched in Gene Expression Omnibus (GEO), PubMed, Google Scholar, and Web of Science till September 20, 2019. Expression levels of MIC-1 were extracted, pooled, and compared between T2DM cases and controls.

resultsIn summary, 11 GEO datasets and 3 articles with 421 T2DM cases and 711 controls were finally included. The expression level of MIC-1 was significantly higher in T2DM patients compared with controls, with a standard mean difference (SMD) of 0.54 and a 95% confidence interval (95% CI) of 0.24-0.83; in blood samples, the difference was still significant (SMD = 0.65; 95%CI = 0.24-1.06). Meanwhile, the expression level of

conclusionOur results suggested that the expression levels of MIC-1 were significantly higher in T2DM patients in multiple tissues including blood samples.

Indexed as

Diabetes Mellitus, Type 2Growth Differentiation Factor 15HumansPrognosisGDF15 protein, humanGrowth Differentiation Factor 15

Identifiers

PMID31827641
PMCPMC6885201

What OpenQuestion holds

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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.