Evidence map›Paper›PMID 37583561›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2023

Real-World Prevalence of Type 2 Diabetes Remission in a U.S. Insured Population Using a Large Administrative Claims Database.

Natalie E Sheils, Megan S Jarvis, Lauren R Bangerter, David A Asch, Callahan N Clark

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 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
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  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

5 authors at 1 institution in 1 country.

Natalie E SheilsOptum Labs, Minnetonka, MN.
Megan S JarvisOptum Labs, Minnetonka, MN.
Lauren R BangerterOptum Labs, Minnetonka, MN.
David A AschUniversity of Pennsylvania, Philadelphia, PA.
Callahan N ClarkOptum Labs, Minnetonka, MN.ORCID https://orcid.org/0000-0002-3585-7560
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A 2021 international consensus statement defined type 2 diabetes remission as A1C <6.5% measured at least 3 months after cessation of glucose-lowering therapy. We aimed to investigate whether retrospective claims-based data can assess remission based on this definition, whether three increasingly strict alternative definitions affect the prevalence of remission and characteristics of remission cohorts, and how cohorts with and without sufficient data to assess for remission differ. Research design and methods: We used de-identified administrative claims from commercially insured and Medicare Advantage members, enriched with laboratory values, to assess diabetes remission. We used alternative glycemic, temporal, and pharmacologic criteria to assess the sensitivity of remission definitions to changes in claims-based logic. Results: Among 524,076 adults with type 2 diabetes, 185,285 (35.4%) had insufficient additional laboratory and/or enrollment data to assess for remission. While more likely to be younger, these individuals had similar initial A1C values and geographical distribution as the 338,791 (64.6%) assessed for remission. Of those assessed for remission, 10,694 (3.2%) met the 2021 consensus statement definition. The proportion of individuals meeting the three alternative definitions ranged from 0.8 to 2.3%. Across all criteria, those meeting the remission definition were more likely to be female, had a lower initially observed A1C, and had a higher prevalence of bariatric surgery. Conclusion: This study demonstrates the feasibility of laboratory-value enriched claims-based assessments of type 2 diabetes remission. Establishing stable claims-based markers of remission can enable population assessments of diabetes remission and evaluate the association between remission and clinical outcomes.

Identifiers

PMID37583561
PMCPMC10425229
OpenAlexW4310727385

What OpenQuestion holds

Textmetadata
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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.