Evidence map›Paper›PMID 29758962›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2018

Association between serum magnesium and common complications of diabetes mellitus.

Yiyan Zhang, Qin Li, Yi Xin, Weiqi Lv, Chuanbin Ge

Open access · bronzeAbstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Magnesium Level and Related Factors in Type 2 Diabetes Mellitus: A Cross-Sectional StudyEndocrine, metabolic & immune disorders drug targets · 2026
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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

5 authors at 1 institution in 1 country.

Yiyan Zhang
Qin Li
Yi Xin
Weiqi Lv
Chuanbin Ge
Beijing Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnesium ion, as important cation in the human body, involved in various enzymatic reactions, glucose transport and insulin release. Now diabetes mellitus and diabetic complications have become important public health problems around the world.

objectiveThis paper explores the association between concentration levels of serum magnesium and common complications and comorbidities of diabetes mellitus and other biochemical indexes.

methodsThere are 1217 eligible patients selected from 14,317 cases of diabetic hospitalization patients from January 2010 to December 2011. Random forest algorithm was applied to assess the importance of various biochemical indexes and to perform diabetic complications prediction.

resultsThe research results showed that low concentration of serum magnesium and four common diabetic complications - diabetic retinopathy, diabetic nephropathy, diabetic neuropathy and diabetic macroangiopathy - exists association, but no obvious correlation with other comorbidities like hypertension.

conclusionsThe specific factors of four common diabetic complications were selected from the biochemical indexes to provide a reference direction for further research.

Indexed as

AlgorithmsAdolescentAdultAgedAged, 80 and overAge FactorsBlood GlucoseChildData MiningDiabetes ComplicationsDiabetic AngiopathiesDiabetic NephropathiesDiabetic NeuropathiesDiabetic RetinopathyFemaleHumansBlood GlucoseMagnesiumassociated factorbiochemical indexdiabetic complicationsrandom forestSerum magnesium

Identifiers

PMID29758962
PMCPMC6004978
OpenAlexW2799851726

What OpenQuestion holds

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LicenceCC BY-NC
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.