Evidence map›Paper›PMID 33408493›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Interactive Effect of

Oswald Ndi Nfor, Nokuphila Balindile Ndzinisa, Meng-Hsiun Tsai, Chih-Hsuan Hsiao, Yung-Po Liaw

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Review
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 3 institutions in 1 country.

Oswald Ndi NforDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan.
Nokuphila Balindile NdzinisaDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan.
Meng-Hsiun TsaiDepartment of Management Information Systems, National Chung Hsing University, Taichung, Taiwan.
Chih-Hsuan HsiaoDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan.
Yung-Po LiawDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City 40201, Taiwan.ORCID 0000-0003-2046-4964
Chung Shan Medical University · TWChung Shan Medical University Hospital · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGenetic and environmental factors are related to type 2 diabetes (T2D). Genetic modifiers of T2D have not been widely determined among smoking individuals. In this population-based study, we investigated the interactive association between rs4402960 polymorphism of the insulin-like growth factor 2 mRNA-binding protein 2 ( MATERIALS AND

methodsWe obtained genetic data collected between 2008 and 2018 for 22,039 participants (aged 30-70 years) from the Taiwan Biobank (TWB) database. These data were analyzed using the

resultsThe mean ages for participants with and without diabetes were 58.11±8.75 and 48.58±11, respectively. Compared with the rs4402960 GG genotype, the odds ratio (OR) for T2D was 1.261 among GT and 1.545 among TT genotype individuals (p<0.05). Current smokers compared to nonsmokers were associated with a higher risk of T2D (OR=1.266, p=0.0404). There was a significant interaction between the

conclusionThis population-based study indicated that the risk for T2D was stronger among current smoking rs4402960 GG individuals recruited between 2008 and 2019 in Taiwan.

Indexed as

diabeteslifestylemetabolic syndromepolymorphism

Identifiers

PMID33408493
PMCPMC7779857
OpenAlexW3115241590

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.