Evidence map›Paper›PMID 38980267›Full record

ArticleJournal of the American Geriatrics Society2024

Decline in use of high-risk agents for tight glucose control among older adults with diabetes in New York City: 2017-2022.

Jeff Zhang, Rania Kanchi, Sarah Conderino, Natalie K Levy, Samrachana Adhikari, Saul Blecker, Nichola Davis, Jasmin Divers, Catherine Rabin, Mark Weiner and 2 more

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jeff ZhangDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.ORCID 0009-0000-7276-7962
Rania KanchiDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Sarah ConderinoDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Natalie K LevyDivision of General Internal Medicine and Clinical Innovation, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.
Samrachana AdhikariDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Saul BleckerDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Nichola DavisDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Jasmin DiversDepartment of Foundations of Medicine, NYU Grossman Long Island School of Medicine, New York, New York, USA.
Catherine RabinINSIGHT Clinical Research Network, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Mark WeinerINSIGHT Clinical Research Network, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Lorna ThorpeDivision of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
John A DodsonDivision of Healthcare Delivery Science, Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.

Funding

COVID-19 shutdown: impact of healthcare disruptions on cardiovascular health disparities among people with multiple chronic conditions in New York City.R01AG073321 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI John A Dodson, Lorna Thorpe · 2022 to 2026
$3.3M
Midcareer award in aging-related subspecialty researchK24AG080025 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI John A Dodson · 2023 to 2026
$495k
NIA NIH HHS K24 AG080025NIA NIH HHS K24AG080025NIA NIH HHS R01 AG073321NIA NIH HHS R01AG073321
6 · The paper itself

Abstract

backgroundThis study aimed to examine the prevalence of inappropriate tight glycemic control in older adults with type 2 diabetes and other chronic conditions in New York City, and to identify factors associated with this practice.

methodsWe conducted a retrospective cohort study using the INSIGHT Clinical Research Network. The study population included 11,728 and 15,196 older adults in New York City (age ≥ 75 years) with a diagnosis of type 2 diabetes, and at least one other chronic medical condition, in 2017 and 2022, respectively. The main outcome of interest was inappropriate tight glycemic control, defined as HbA1c <7.0% (<53 mmol/mol) with prescription of at least one high-risk agent (insulin or insulin secretagogue).

resultsThe proportion of older adults with inappropriate tight glycemic control decreased by nearly 19% over a five-year period (19.4% in 2017 to 15.8% in 2022). There was a significant decrease in insulin (27.8% in 2017; 24.3% in 2022) and sulfonylurea (29.4% in 2017; 21.7% in 2022) medication prescription, and increase in use of GLP-1 agonists (1.8% in 2017; 11.4% in 2022) and SGLT-2 inhibitors (5.8% in 2017; 25.1% in 2022), among the total population. Factors associated with inappropriate tight glycemic control in 2022 included history of heart failure (adjusted odds ratio [aOR] 1.38), chronic kidney disease ([aOR] 1.93), colorectal cancer ([aOR] 1.38), acute myocardial infarction ([aOR] 1.28), "other" ([aOR] 0.72) or "unknown" ([aOR] 0.72) race, and a point increase in BMI ([aOR] 0.98).

conclusionsWe found an encouraging trend toward less use of high-risk medication strategies for older adults with type 2 diabetes and multiple chronic conditions. However, one in six patients in 2022 still had inappropriate tight glycemic control, indicating a need for continued efforts to optimize diabetes management in this population.

Indexed as

Diabetes Mellitus, Type 2Glycemic ControlHypoglycemic AgentsAgedAged, 80 and overBlood GlucoseFemaleGlycated HemoglobinHumansInsulinMaleNew York CityRetrospective StudiesBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulindiabetes mellitusglycemic controlinsulin

Identifiers

PMID38980267
PMCPMC11368607

What OpenQuestion holds

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LicenceTDM
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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.