Evidence map›Paper›PMID 34127496›Full record

Observational studyDiabetes care2021

Increased Hemoglobin A

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

Abstract readObservational Study
In one paragraph

Observational study in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Observational
  17. Article
  18. 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.

Julia C PrenticeVA Boston Healthcare System, Boston, MA jprentic@bu.edu.ORCID 0000-0003-2620-3685
David C MohrVA Boston Healthcare System, Boston, MA.
Libin ZhangVA Boston Healthcare System, Boston, MA.
Donglin LiVA Boston Healthcare System, Boston, MA.
Aaron LeglerVA Boston Healthcare System, Boston, MA.
Richard E NelsonVA Salt Lake City Healthcare System, Salt Lake City, UT.
Paul R ConlinVA Boston Healthcare System, Boston, MA.

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

objectiveShort- and long-term glycemic variability are risk factors for diabetes complications. However, there are no validated A1C target ranges or measures of A1C stability in older adults. We evaluated the association of a patient-specific A1C variability measure, A1C time in range (A1C TIR), on major adverse outcomes. RESEARCH DESIGN AND

methodsWe conducted a retrospective observational study using administrative data from the Department of Veterans Affairs and Medicare from 2004 to 2016. Patients were ≥65 years old, had diabetes, and had at least four A1C tests during a 3-year baseline period. A1C TIR was the percentage of days during the baseline in which A1C was in an individualized target range (6.0-7.0% up to 8.0-9.0%) on the basis of clinical characteristics and predicted life expectancy. Increasing A1C TIR was divided into categories of 20% increments and linked to mortality and cardiovascular disease (CVD) (i.e., myocardial infarction, stroke).

resultsThe study included 402,043 veterans (mean [SD] age 76.9 [5.7] years, 98.8% male). During an average of 5.5 years of follow-up, A1C TIR had a graded relationship with mortality and CVD. Cox proportional hazards models showed that lower A1C TIR was associated with increased mortality (A1C TIR 0 to <20%: hazard ratio [HR] 1.22 [95% CI 1.20-1.25]) and CVD (A1C TIR 0 to <20%: HR 1.14 [95% CI 1.11-1.19]) compared with A1C TIR 80-100%. Competing risk models and shorter follow-up (e.g., 24 months) showed similar results.

conclusionsIn older adults with diabetes, maintaining A1C levels within individualized target ranges is associated with lower risk of mortality and CVD.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2AgedFemaleGlycated HemoglobinHumansMaleMedicareOutcome Assessment, Health CareRetrospective StudiesUnited StatesGlycated Hemoglobin

Identifiers

PMID34127496
PMCPMC8385473

What OpenQuestion holds

Textmetadata
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.