Evidence map›Paper›PMID 37832984›Full record

ArticleBMJ open2023

Demographic, social and geographic factors associated with glycaemic control among US Veterans with new onset type 2 diabetes: a retrospective cohort study.

David C Lee, Stephanie L Orstad, Rania Kanchi, Samrachana Adhikari, Pasquale E Rummo, Andrea R Titus, Jose O Aleman, Brian Elbel, Lorna E Thorpe, Mark D Schwartz

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 32% 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 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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

10 authors at 3 institutions in 1 country.

David C LeeEmergency Medicine, NYU Grossman School of Medicine, New York City, New York, USA David.Lee@nyulangone.org.ORCID 0000-0002-7202-1893
Stephanie L OrstadPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
Rania KanchiPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
Samrachana AdhikariPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.ORCID 0000-0001-9954-5999
Pasquale E RummoPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
Andrea R TitusPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
Jose O AlemanMedicine, NYU Grossman School of Medicine, New York City, New York, USA.
Brian ElbelPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
Lorna E ThorpePopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
Mark D SchwartzPopulation Health, NYU Grossman School of Medicine, New York City, New York, USA.
New York University · USVA NY Harbor Healthcare System · USWagner College · US

Funding

Component A: Impact of Community Factors on Geographic Disparities in Diabetes and Obesity NationwideU01DP006299 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA · 2017 to 2021
$4.1M
The Impact of the Food Environment and Other Environmental Exposures on the Risk of Diabetes in Rural SettingsR01DK124400 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEE, DAVID C · 2020 to 2024
$3.5M
ACL HHS U01DP006299NCCDPHP CDC HHS U01 DP006299NIDDK NIH HHS R01 DK124400
6 · The paper itself

Abstract

objectivesThis study evaluated whether a range of demographic, social and geographic factors had an influence on glycaemic control longitudinally after an initial diagnosis of diabetes. DESIGN, SETTING AND

participantsWe used the US Veterans Administration Diabetes Risk national cohort to track glycaemic control among patients 20-79-year old with a new diagnosis of type 2 diabetes. PRIMARY OUTCOME AND

methodsWe modelled associations between glycaemic control at follow-up clinical assessments and geographic factors including neighbourhood race/ethnicity, socioeconomic, land use and food environment measures. We also adjusted for individual demographics, comorbidities, haemoglobin A1c (HbA1c) at diagnosis and duration of follow-up. These factors were analysed within strata of community type: high-density urban, low-density urban, suburban/small town and rural areas.

resultsWe analysed 246 079 Veterans who developed a new type 2 diabetes diagnosis in 2008-2018 and had at least 2 years of follow-up data available. Across all community types, we found that lower baseline HbA1c and female sex were strongly associated with a higher likelihood of within-range HbA1c at follow-up. Surprisingly, patients who were older or had more documented comorbidities were more likely to have within-range follow-up HbA1c results. While there was variation by community type, none of the geographic measures analysed consistently demonstrated significant associations with glycaemic control across all community types.

Indexed as

Diabetes Mellitus, Type 2VeteransAdultAgedBlood GlucoseEthnicityFemaleGeographyGlycated HemoglobinGlycemic ControlHumansMiddle AgedRetrospective StudiesYoung AdultBlood GlucoseGlycated HemoglobinEPIDEMIOLOGIC STUDIESEPIDEMIOLOGYGeneral diabetes

Identifiers

PMID37832984
PMCPMC10582880
OpenAlexW4387618768

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.