Evidence map›Paper›PMID 37918637›Full record

ArticleDiabetes research and clinical practice2023

Longitudinal trajectories of glycemic control among U.S. Adults with newly diagnosed diabetes.

Rozalina G McCoy, Louis Faust, Herbert C Heien, Shrinath Patel, Brian Caffo, Che Ngufor

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes research and clinical practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Rozalina G McCoyDivision of Endocrinology, Diabetes, & Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, United States; University of Maryland Institute for Health Computing, Bethesda, MD, United States; OptumLabs, Eden Prairie, MN, United States; Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States. Electronic address: Rozalina.McCoy@som.umaryland.edu.
Louis FaustMayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States.
Herbert C HeienMayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States.
Shrinath PatelMayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States.
Brian CaffoJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Che NguforMayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, United States; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.

Funding

Predicting the Risk of Severe Hypoglycemic and Hyperglycemic Events in Adults with DiabetesK23DK114497 · NIDDK · MAYO CLINIC ROCHESTER · PI MCCOY, ROZALINA GRUBINA · 2017 to 2021
$846k
NIDDK NIH HHS K23 DK114497
6 · The paper itself

Abstract

aimsTo identify longitudinal trajectories of glycemic control among adults with newly diagnosed diabetes, overall and by diabetes type.

methodsWe analyzed claims data from OptumLabs® Data Warehouse for 119,952 adults newly diagnosed diabetes between 2005 and 2018. We applied a novel Mixed Effects Machine Learning model to identify longitudinal trajectories of hemoglobin A

resultsThe study population was comprised of 119,952 adults with newly diagnosed diabetes, including 696 (0.58%) with type 1 diabetes. Among patients with type 1 diabetes, 52.6% were diagnosed at very high HbA

conclusionsClaims data identified distinct longitudinal trajectories of HbA

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdultBlood GlucoseGlycated HemoglobinGlycemic ControlHumansBlood GlucoseGlycated HemoglobinArtificial intelligenceDiabetesGlycemic controlGlycosylated hemoglobinHemoglobin A1cLongitudinal trajectoriesMachine learningPersonalized medicinePrecision medicineRisk stratificationType 1 diabetesType 2 diabetes

Identifiers

PMID37918637
PMCPMC10842883

What OpenQuestion holds

Textmetadata
LicenceTDM
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.