Evidence map›Paper›PMID 31096461›Full record

SynthesisMedicine2019

Meta-analytic evaluation for the spatio-temporal patterns of the associations between common risk factors and type 2 diabetes in mainland China.

Ting Zhou, Xiang Liu, Yuanyuan Liu, Xiaosong Li

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 2 institutions in 2 countries.

Ting ZhouDepartment of Epidemiology and Biostatistics.
Xiang LiuDepartment of Health and Social Behavior, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yuanyuan LiuDepartment of Epidemiology and Biostatistics.
Xiaosong LiDepartment of Epidemiology and Biostatistics.
West China Medical Center of Sichuan University · CNCancer Research And Biostatistics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a dearth of accurate information about the associations between risk factors and type 2 diabetes in mainland China. We conducted a systematic review and meta-analysis to explore the spatio-temporal patterns of the associations between common risk factors and type 2 diabetes in adults at least 18 years old in mainland China.We searched English and Chinese databases from January 1st, 1997 to December 31st, 2017 for relevant observational studies. Overall and stratification analyses including secular trends and temporal distributions were conducted, odds ratio (OR) and 95% confidence interval (CI) were calculated by applying random-effects model.Thirty-five studies were included. Type 2 diabetes was positively associated with a family history of type 2 diabetes (OR 2.89, 95%CI 2.38-3.49), hypertension (OR 2.73, 95%CI 2.25-3.36), central obesity (OR 2.28, 95%CI 1.94-2.68), dyslipidemia (OR 2.23, 95%CI 1.70-2.91), hypertriglyceridemia (OR 2.18, 95%CI 1.64-2.92), general obesity (OR 1.90, 95%CI 1.66-2.18), hypercholesterolemia (OR 1.65, 95%CI 1.32-2.06), smoking (OR 1.26, 95%CI 1.13-1.40), and drinking (OR 1.20, 95%CI 1.05-1.36), whereas a negative association with female gender (OR 0.87, 95%CI 0.78-0.97) existed. Except for female gender and drinking, the pooled effects of temporal and spatial stratification for the other five risk factors were consistent with the above results. For temporal stratification, the ORs of general obesity increased gradually during the periods of 1992 to 2005, 2006 to 2010, and 2011 to 2017, while the ORs of a family history declined. For regional stratification, the magnitudes of ORs for hypertension, dyslipidemia, and hypercholesterolemia in northern areas were larger than that in southern areas, while opposite situation occurred for a family history. Except for the factor a family history, provincial results for the other nine risk factors differed from the overall results and among provinces.Effect differences existed for modifiable and non-modifiable risk factors in secular trends and regional distribution, which is of potential public health importance for type 2 diabetes prevention.

Indexed as

Age FactorsAlcohol DrinkingChinaDiabetes Mellitus, Type 2DyslipidemiasGenetic Predisposition to DiseaseHumansHypertensionObesity, AbdominalObservational Studies as TopicRisk FactorsSex FactorsSmokingSpatio-Temporal Analysis

Identifiers

PMID31096461
PMCPMC6531165
OpenAlexW2945239821

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.