Evidence map›Paper›PMID 26867584›Full record

SynthesisBMC medicine2016

HbA1c levels in non-diabetic older adults - No J-shaped associations with primary cardiovascular events, cardiovascular and all-cause mortality after adjustment for confounders in a meta-analysis of individual participant data from six cohort studies.

Ben Schöttker, W Rathmann, C Herder, B Thorand, T Wilsgaard, I Njølstad, G Siganos, E B Mathiesen, K U Saum, A Peasey and 7 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Association of glycated hemoglobin ACardiovascular diabetology · 2021
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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

17 authors.

Ben SchöttkerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany. b.schoettker@dkfz.de.
W RathmannInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf`m Hennekamp 65, 40225, Düsseldorf, Germany.
C HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf`m Hennekamp 65, 40225, Düsseldorf, Germany.
B ThorandInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Postfach 1129, Neuherberg, Germany.
T WilsgaardEpidemiology of Chronic Diseases Research Group, Department of Community Medicine, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
I NjølstadEpidemiology of Chronic Diseases Research Group, Department of Community Medicine, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
G SiganosBrain and Circulation Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
E B MathiesenBrain and Circulation Research Group, Department of Clinical Medicine, UiT The Arctic University of Norway, 9037, Tromsø, Norway.
K U SaumDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
A PeaseyDepartment of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK.
E FeskensDivision of Human Nutrition, Wageningen University, PO Box 8129, 6700 EV, Wageningen, The Netherlands.
P BoffettaInstitute for Translational Epidemiology and The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
A TrichopoulouHellenic Health Foundation, Kaisareias 13 and Alexandroupoleos, Athens, 11527, Greece.
K KuulasmaaNational Institute for Health and Welfare (THL), PO Box 30, FI-00271, Helsinki, Finland.
F KeeUKCRC Centre of Excellence for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
H BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
CHANCES group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the shape of the associations of HbA1c with mortality and cardiovascular outcomes in non-diabetic individuals and explore potential explanations.

methodsThe associations of HbA1c with all-cause mortality, cardiovascular mortality and primary cardiovascular events (myocardial infarction or stroke) were assessed in non-diabetic subjects ≥50 years from six population-based cohort studies from Europe and the USA and meta-analyzed. Very low, low, intermediate and increased HbA1c were defined as <5.0, 5.0 to <5.5, 5.5 to <6.0 and 6.0 to <6.5% (equals <31, 31 to <37, 37 to <42 and 42 to <48 mmol/mol), respectively, and low HbA1c was used as reference in Cox proportional hazards models.

resultsOverall, 6,769 of 28,681 study participants died during a mean follow-up of 10.7 years, of whom 2,648 died of cardiovascular disease. Furthermore, 2,493 experienced a primary cardiovascular event. A linear association with primary cardiovascular events was observed. Adjustment for cardiovascular risk factors explained about 50% of the excess risk and attenuated hazard ratios (95 confidence interval) for increased HbA1c to 1.14 (1.03-1.27), 1.17 (1.00-1.37) and 1.19 (1.04-1.37) for all-cause mortality, cardiovascular mortality and cardiovascular events, respectively. The six cohorts yielded inconsistent results for the association of very low HbA1c levels with the mortality outcomes and the pooled effect estimates were not statistically significant. In one cohort with a pronounced J-shaped association of HbA1c levels with all-cause and cardiovascular mortality (NHANES), the following confounders of the association of very low HbA1c levels with mortality outcomes were identified: race/ethnicity; alcohol consumption; BMI; as well as biomarkers of iron deficiency anemia and liver function. Associations for very low HbA1c levels lost statistical significance in this cohort after adjusting for these confounders.

conclusionsA linear association of HbA1c levels with primary cardiovascular events was observed. For cardiovascular and all-cause mortality, the observed small effect sizes at both the lower and upper end of HbA1c distribution do not support the notion of a J-shaped association of HbA1c levels because a certain degree of residual confounding needs to be considered in the interpretation of the results.

Indexed as

AdultAgedAged, 80 and overAgingCardiovascular DiseasesCause of DeathCohort StudiesConfounding Factors, EpidemiologicEuropeFemaleGlycated HemoglobinHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID26867584
PMCPMC4751667

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.