Evidence map›Paper›PMID 35820708›Full record

Observational studyBMJ open diabetes research & care2022

Association of hemoglobin A1c time in range with risk for diabetes complications.

David C Mohr, Libin Zhang, Julia C Prentice, Richard E Nelson, Donglin Li, Erin Pleasants, Paul R Conlin

Abstract readObservational Study
In one paragraph

Observational study in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. 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

7 authors.

David C MohrCenter for Healthcare Organization and Implementation Research, VA Boston Health Care System Jamaica Plain Campus, Boston, Massachusetts, USA david.mohr2@va.gov.ORCID 0000-0002-3184-6338
Libin ZhangCenter for Healthcare Organization and Implementation Research, VA Boston Health Care System Jamaica Plain Campus, Boston, Massachusetts, USA.
Julia C PrenticeBetsy Lehman Center for Patient Safety, Commonwealth of Massachusetts, Boston, Massachusetts, USA.ORCID 0000-0003-2620-3685
Richard E NelsonVeterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.
Donglin LiCenter for Healthcare Organization and Implementation Research, VA Boston Health Care System Jamaica Plain Campus, Boston, Massachusetts, USA.
Erin PleasantsCenter for Healthcare Organization and Implementation Research, VA Boston Health Care System Jamaica Plain Campus, Boston, Massachusetts, USA.
Paul R ConlinMedical Service, VA Boston Healthcare System, West Roxbury, Massachusetts, USA.

Funding

Hemoglobin A1C Variability as a Risk Factor for Diabetes ComplicationsR01DK114098 · NIDDK · HARVARD MEDICAL SCHOOL · PI CONLIN, PAUL R · 2019 to 2022
$2.3M
Hemoglobin A1c Variability and Adverse Health OutcomesI01HX001870 · VA · VA BOSTON HEALTH CARE SYSTEM · PI CONLIN, PAUL R · 2018 to 2019
–
HSRD VA I01 HX001870NIDDK NIH HHS R01 DK114098
6 · The paper itself

Abstract

introductionWe assessed the association between hemoglobin A1c time in range (A1c TIR), based on unique patient-level A1c target ranges, with risks of developing microvascular and macrovascular complications in older adults with diabetes. RESEARCH DESIGN AND

methodsWe used a retrospective observational study design and identified patients with diabetes from the Department of Veterans Affairs (n=397 634). Patients were 65 years and older and enrolled in Medicare during the period 2004-2016. Patients were assigned to individualized A1c target ranges based on estimated life expectancy and the presence or absence of diabetes complications. We computed A1c TIR for patients with at least four A1c tests during a 3-year baseline period. The association between A1c TIR and time to incident microvascular and macrovascular complications was studied in models that included A1c mean and A1c SD.

resultsWe identified 74 016 patients to assess for incident microvascular complications and 89 625 patients to assess for macrovascular complications during an average follow-up of 5.5 years. Cox proportional hazards models showed lower A1c TIR was associated with higher risk of microvascular (A1c TIR 0% to <20%; HR=1.04; 95%) and macrovascular complications (A1c TIR 0% to <20%; HR=1.07; 95%). A1c mean was associated with increased risk of microvascular and macrovascular complications but A1c SD was not. The association of A1c TIR with incidence and progression of individual diabetes complications within the microvascular and macrovascular composites showed similar trends.

conclusionsMaintaining stability of A1c levels in unique target ranges was associated with lower likelihood of developing microvascular and macrovascular complications in older adults with diabetes.

Indexed as

Diabetes ComplicationsDiabetes Mellitus, Type 2AgedGlycated HemoglobinHumansMedicareProportional Hazards ModelsUnited StatesGlycated HemoglobinA1cdiabetes complications

Identifiers

PMID35820708
PMCPMC9277370

What OpenQuestion holds

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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.