Evidence map›Paper›PMID 37682942›Full record

ArticlePloS one2023

Factors associated with higher hemoglobin A1c and type 2 diabetes-related costs: Secondary data analysis of adults 18 to 64 in Texas with commercial insurance.

Marcia G Ory, Gang Han, Sagar N Jani, Lixian Zhong, Elena Andreyeva, Keri Carpenter, Samuel D Towne, Veronica Averhart Preston, Matthew Lee Smith

Abstract read
In one paragraph

Article in PloS one, 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. Trial
  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

9 authors.

Marcia G OryCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0001-8036-2383
Gang HanCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.
Sagar N JaniCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.
Lixian ZhongCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.
Elena AndreyevaCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.
Keri CarpenterCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.
Samuel D TowneCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.
Veronica Averhart PrestonBlue Cross Blue Shield of Texas, a subsidiary of Health Care Service Corporation, Richardson, Texas, United States of America.
Matthew Lee SmithCenter for Community Health and Aging, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0002-8232-9285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study will identify factors associated with higher hemoglobin A1c (A1c) values and diabetes-related costs among commercially insured adults in Texas diagnosed with type 2 diabetes. RESEARCH DESIGN AND

methodsThis secondary data analysis was based on claims data from commercially insured individuals 18-64 years of age residing in Texas with diagnosed type 2 diabetes during the 2018-2019 study period. The final analysis sample after all the exclusions consisted of 34,992 individuals. Measures included hemoglobin A1c, diabetes-related costs, Charlson Comorbidity Index, diabetes-related complications, rurality and other socioeconomic characteristics. Longitudinal A1c measurements were modeled using age, sex, rurality, comorbidity, and diabetes-related complications in generalized linear longitudinal regression models adjusting the observation time, which was one of the 8 quarters in 2018 and 2019. The diabetes-related costs were similarly modeled in both univariable and multivariable generalized linear longitudinal regression models adjusting the observation time by calendar quarters and covariates.

resultsThe median A1c value was 7, and the median quarterly diabetes-related cost was $120. A positive statistically significant relationship (p = < .0001) was found between A1c levels and diabetes-related costs, although this trend slowed down as A1c levels exceeded 8.0%. Higher A1c values were associated with being male, having diabetes-related complications, and living in rural areas. Higher costs were associated with higher A1c values, older age, and higher Charlson Comorbidity Index scores.

conclusionThe study adds updated analyses of the interrelationships among demographic and geographic factors, clinical indicators, and health-related costs, reinforcing the role of higher A1c values and complications as diabetes-related cost drivers.

Indexed as

Diabetes Mellitus, Type 2InsuranceAdultFemaleGlycated HemoglobinHumansMaleSecondary Data AnalysisTexasGlycated Hemoglobin

Identifiers

PMID37682942
PMCPMC10490838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.