Evidence mapPaperPMID 28760792Full record

SynthesisBMJ open2017

Glycated haemoglobin A1c as a risk factor of cardiovascular outcomes and all-cause mortality in diabetic and non-diabetic populations: a systematic review and meta-analysis.

Iván Cavero-Redondo, Barbara Peleteiro, Celia Álvarez-Bueno, Fernando Rodriguez-Artalejo, Vicente Martínez-Vizcaíno

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 9 pooled it
10.6field-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.

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

141 citing papers in PubMed, 9 syntheses or guidelines pooled it, 256 citations in OpenAlex.

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  6. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  14. Impact of preprocedural biological markers on 10-year mortality in the SYNTAXES trial.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2022
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  19. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
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81 more citing papers are in PubMed but not listed here.

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 3 countries.

Iván Cavero-RedondoUniversidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain.
Barbara PeleteiroEPI Unit, Instituto de Saúde Pública,Universidade do Porto, Porto, Portugal.
Celia Álvarez-BuenoUniversidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain.
Fernando Rodriguez-ArtalejoDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid/ IdiPaz, CIBERESP, and IMDEA-Food Institute. CEI UAM+CSIC, Madrid, Spain.
Vicente Martínez-VizcaínoUniversidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain.
University of Castilla-La Mancha · ESi3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTIMDEA Food · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the relationship between glycated haemoglobin A1c (HbA1c) levels and the risk of cardiovascular outcomes and all-cause mortality based on data from observational studies and to determine the optimal levels of HbA1c for preventing cardiovascular events and/or mortality in diabetic and non-diabetic populations. REVIEW

methodsWe systematically searched Medline, Embase, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews and Web of Science databases, from inception to July 2016, for observational studies addressing the association of HbA1c levels with mortality and cardiovascular outcomes. Random effects models were used to compute pooled estimates of HR and respective 95% CI for all-cause mortality, cardiovascular mortality and risk of cardiovascular events, separately for people with and without diabetes.

resultsSeventy-four published studies were included in the systematic review, but only 46 studies could be incorporated in the meta-analysis. In both diabetic and non-diabetic populations, there was an increase in the risk of all-cause mortality when HbA1c levels were over 8.0% and 6.0%, respectively. The highest all-cause mortality in people with diabetes was HbA1c above 9.0% (HR=1.69; 95% CI 1.09 to 2.66) and in those without diabetes was HbA1c above 6.0% (HR=1.74; 95% CI 1.38 to 2.20). However, both diabetic and non-diabetic populations with lower HbA1c levels (below 6.0% HR=1.57; 95% CI 1.14 to 2.17 and below 5.0% HR=1.19; 95% CI 1.04 to 1.36, respectively) had higher all-cause mortality. Similar pooled estimates were found when cardiovascular mortality was the outcome variable.

conclusionHbA1c is a reliable risk factor of all-cause and cardiovascular mortality in both diabetics and non-diabetics. Our findings establish optimal HbA1c levels, for the lowest all-cause and cardiovascular mortality, ranging from 6.0% to 8.0% in people with diabetes and from 5.0% to 6.0% in those without diabetes.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Glycated HemoglobinHumansObservational Studies as TopicRisk FactorsGlycated HemoglobinAll-cause mortalityCardiovascular mortalityHbA1cMeta-analysis

Identifiers

PMID28760792
PMCPMC5642750
OpenAlexW2739699420

What Socratic holds

Textmetadata
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 Socratic graph.