Evidence map›Paper›PMID 20215456›Full record

ArticleDiabetes care2010

Effects of cardiac autonomic dysfunction on mortality risk in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial.

Rodica Pop-Busui, Gregory W Evans, Hertzel C Gerstein, Vivian Fonseca, Jerome L Fleg, Byron J Hoogwerf, Saul Genuth, Richard H Grimm, Marshall A Corson, Ronald Prineas and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed, 10 pooled it
16.8field-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

240 citing papers in PubMed, 10 syntheses or guidelines pooled it, 527 citations in OpenAlex.

  1. Pooled it
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  3. Cardioneuroablation for the treatment of reflex syncope and functional bradyarrhythmias: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asia Pacific Heart Rhythm Society (APHRS) and the Latin American Heart Rhythm Society (LAHRS).Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    Guideline
  4. Guideline
  5. 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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  8. Does resistance training modulate cardiac autonomic control? A systematic review and meta-analysis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
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  10. Glucose targets for preventing diabetic kidney disease and its progression.The Cochrane database of systematic reviews · 2017
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180 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

Rodica Pop-BusuiDivision of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan, USA. rpbusui@umich.edu
Gregory W Evans
Hertzel C Gerstein
Vivian Fonseca
Jerome L Fleg
Byron J Hoogwerf
Saul Genuth
Richard H Grimm
Marshall A Corson
Ronald Prineas
Action to Control Cardiovascular Risk in Diabetes Study Group
Wake Forest University · USBerman Center for Outcomes and Clinical Research · USCase Western Reserve University · USCleveland Clinic · USHamilton Health Sciences · CANational Heart Lung and Blood Institute · USTulane University · USUniversity of Michigan–Ann Arbor · US

Funding

PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095183 · HC · MINNEAPOLIS MEDICAL RESEARCH FDN, INC. · PI GRIMM, RICHARD H · 1999 to 2000
$1.9M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095181 · HC · CASE WESTERN RESERVE UNIVERSITY · PI THIBONNIER, MARC · 1999 to 2000
$1.8M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095184 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIGGER, J T · 1999 to 2000
$1.7M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095182 · HC · WAKE FOREST UNIVERSITY · PI GOFF, DAVID C · 1999 to 2000
$1.6M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUS-N01HC95178N01HC095178 · HC · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BYINGTON, ROBERT · 1999 to 2006
$1.5M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETER MELLLITN01HC095180 · HC · UNIVERSITY OF WASHINGTON · PI PROBSTFIELD, JEFFREY · 1999 to 2000
$1.5M
S-nitrosothiol analyzer for the clinical diagnosis of cardiovascular disease markR44HL095181 · NHLBI · ACCORD BIOMATERIALS, INC. · PI PISANO, MICHAEL R · 2010 to 2011
$1.4M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095179 · HC · MCMASTER UNIVERSITY · PI GERSTEIN, HERTZEL C · 1999 to 2000
$1.3M
S-nitrosothiol analyzer for the clinical diagnosis of cardiovascular disease markR43HL095181 · NHLBI · ACCORD BIOMATERIALS, INC. · PI HANDA, HILTESH · 2009 to 2009
$93k
NHLBI NIH HHS IAA-Y1-HC-1010NHLBI NIH HHS IAA-Y1-HC-9035NHLBI NIH HHS N01 HC095178NHLBI NIH HHS N01 HC095179NHLBI NIH HHS N01 HC095180NHLBI NIH HHS N01 HC095181NHLBI NIH HHS N01 HC095182NHLBI NIH HHS N01 HC095183NHLBI NIH HHS N01 HC095184NHLBI NIH HHS N01-HC-95178NHLBI NIH HHS N01-HC-95179NHLBI NIH HHS N01-HC-95180NHLBI NIH HHS N01-HC-95181NHLBI NIH HHS N01-HC-95182NHLBI NIH HHS N01-HC-95183NHLBI NIH HHS N01-HC-95184NHLBI NIH HHS Y01 HC001010NHLBI NIH HHS Y01 HC009035
6 · The paper itself

Abstract

objectiveIntensive therapy targeting normal blood glucose increased mortality compared with standard treatment in a randomized clinical trial of 10,251 participants with type 2 diabetes at high-risk for cardiovascular disease (CVD) events. We evaluated whether the presence of cardiac autonomic neuropathy (CAN) at baseline modified the effect of intensive compared with standard glycemia treatment on mortality outcomes in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial participants. RESEARCH DESIGN AND

methodsCAN was assessed by measures of heart rate variability (HRV) and QT index (QTI) computed from 10-s resting electrocardiograms in 8,135 ACCORD trial participants with valid measurements (mean age 63.0 years, 40% women). Prespecified CAN definitions included a composite of the lowest quartile of HRV and highest QTI quartile in the presence or absence of peripheral neuropathy. Outcomes were all-cause and CVD mortality. Associations between CAN and mortality were evaluated by proportional hazards analysis, adjusting for treatment group allocation, CVD history, and multiple prespecified baseline covariates.

resultsDuring a mean 3.5 years follow-up, there were 329 deaths from all causes. In fully adjusted analyses, participants with baseline CAN were 1.55-2.14 times as likely to die as participants without CAN, depending on the CAN definition used (P < 0.02 for all). The effect of allocation to the intensive group on all-cause and CVD mortality was similar in participants with or without CAN at baseline (P(interaction) > 0.7).

conclusionsWhereas CAN was associated with increased mortality in this high-risk type 2 diabetes cohort, these analyses indicate that participants with CAN at baseline had similar mortality outcomes from intensive compared with standard glycemia treatment in the ACCORD cohort.

Indexed as

Randomized Controlled Trials as TopicAgedAutonomic Nervous System DiseasesBlood GlucoseCohort StudiesDiabetes Mellitus, Type 2Diabetic NeuropathiesFemaleFollow-Up StudiesHeartHeart RateHumansHyperglycemiaHypoglycemic AgentsMaleMiddle AgedBlood GlucoseHypoglycemic Agents

Identifiers

PMID20215456
PMCPMC2890362
OpenAlexW2095922097

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.