Evidence map›Paper›PMID 27881363›Full record

SynthesisBMJ (Clinical research ed.)2016

Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis.

Yuli Huang, Xiaoyan Cai, Weiyi Mai, Meijun Li, Yunzhao Hu

3 registry-linked trialsOpen access · bronzeAbstract readMeta-AnalysisSystematic ReviewVideo-Audio Media
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 504 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
504citing papers in PubMed, 16 pooled it
60.9field-weighted citation impact, top 1% 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.

NCT03308773 enrolling by invitationnot on this map

Physiology of Disease Prevention Observational Study in Clinical Practice

TypeobservationalSponsorPacific Coast Family Medical GroupRan2009 to 2027Enrolled5,000ConditionsPreDiabetes, Insulin Resistance, Type2 Diabetes, NASH - Nonalcoholic SteatohepatitisArmsLifestyle modification in routine care of patients
NCT03698786 completednot on this mapstarted 2017, after this paper: background citation

Exercise Effects on Appetite-regulating Hormones and Cardiovascular Risk Factors in South Asian and White European Men

TypeobservationalSponsorKingston UniversityRan2017 to 2019Enrolled15ConditionsRisk Factor, Cardiovascular, Physical Activity, Pre-diabetesArmsExercise
NCT04453605 completednot on this map

Determining All Cause Morality and Cardiovascular Mortality Risk in Individuals With Neo-diagnosed Type 2 Diabetes

TypeobservationalSponsorUniversity of PisaRan2008 to 2018Enrolled300ConditionsType 2 Diabetes, Vascular Diseases, Cardiac DiseaseArmsstandard treatments
3 · Its place in the literature

Who cites it

504 citing papers in PubMed, 16 syntheses or guidelines pooled it, 1,024 citations in OpenAlex.

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444 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Yuli HuangDepartment of Cardiology, First People's Hospital of Shunde (Affiliated Hospital at Shunde, Southern Medical University), Foshan, 528300, China.
Xiaoyan CaiClinical Medicine Research Centre, First People's Hospital of Shunde (Affiliated Hospital at Shunde, Southern Medical University), Foshan, China.
Weiyi MaiDepartment of Cardiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Meijun LiDepartment of Cardiology, First People's Hospital of Shunde (Affiliated Hospital at Shunde, Southern Medical University), Foshan, 528300, China.
Yunzhao HuDepartment of Cardiology, First People's Hospital of Shunde (Affiliated Hospital at Shunde, Southern Medical University), Foshan, 528300, China.
The First People's Hospital of Shunde · CNGuangdong Medical College · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate associations between different definitions of prediabetes and the risk of cardiovascular disease and all cause mortality.

designMeta-analysis of prospective cohort studies. DATA SOURCES: Electronic databases (PubMed, Embase, and Google Scholar). SELECTION CRITERIA: Prospective cohort studies from general populations were included for meta-analysis if they reported adjusted relative risks with 95% confidence intervals for associations between the risk of composite cardiovascular disease, coronary heart disease, stroke, all cause mortality, and prediabetes. REVIEW

methodsTwo authors independently reviewed and selected eligible studies, based on predetermined selection criteria. Prediabetes was defined as impaired fasting glucose according to the criteria of the American Diabetes Association (IFG-ADA; fasting glucose 5.6-6.9 mmol/L), the WHO expert group (IFG-WHO; fasting glucose 6.1-6.9 mmol/L), impaired glucose tolerance (2 hour plasma glucose concentration 7.8-11.0 mmol/L during an oral glucose tolerance test), or raised haemoglobin A

results53 prospective cohort studies with 1 611 339 individuals were included for analysis. The median follow-up duration was 9.5 years. Compared with normoglycaemia, prediabetes (impaired glucose tolerance or impaired fasting glucose according to IFG-ADA or IFG-WHO criteria) was associated with an increased risk of composite cardiovascular disease (relative risk 1.13, 1.26, and 1.30 for IFG-ADA, IFG-WHO, and impaired glucose tolerance, respectively), coronary heart disease (1.10, 1.18, and 1.20, respectively), stroke (1.06, 1.17, and 1.20, respectively), and all cause mortality (1.13, 1.13 and 1.32, respectively). Increases in HBA

conclusionsPrediabetes, defined as impaired glucose tolerance, impaired fasting glucose, or raised HbA

Indexed as

Cardiovascular DiseasesCause of DeathHumansPrediabetic StateProspective StudiesRisk

Identifiers

PMID27881363
PMCPMC5121106
OpenAlexW2555762683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.