Evidence map›Paper›PMID 31671084›Full record

ArticleMMWR. Morbidity and mortality weekly report2019

Diabetes Prevalence and Incidence Among Medicare Beneficiaries - United States, 2001-2015.

Linda J Andes, Yanfeng Li, Meera Srinivasan, Stephen R Benoit, Edward Gregg, Deborah B Rolka

Open access · diamondAbstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
  2. Rural-urban disparities in diabetes quality of care with accountable care organization participation.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
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  13. Understanding the Association of Older Adult Fall Risk Factors by Age and Sex Through Factor Analysis.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2023
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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 at 2 institutions in 1 country.

Linda J Andes
Yanfeng Li
Meera Srinivasan
Stephen R Benoit
Edward Gregg
Deborah B Rolka
Center for Surveillance, Epidemiology, and Laboratory Services · USOffice of Science · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes affects approximately 12% of the U.S. adult population and approximately 25% of adults aged ≥65 years. From 2009 to 2017, there was no significant change in diabetes prevalence overall or among persons aged 65-79 years (1). However, these estimates were based on survey data with <5,000 older adults. Medicare administrative data sets, which contain claims for millions of older adults, afford an opportunity to explore both trends over time and heterogeneity within an older population. Previous studies have shown that claims data can be used to identify persons with diagnosed diabetes (2). This study estimated annual prevalence and incidence of diabetes during 2001-2015 using Medicare claims data for beneficiaries aged ≥68 years and found that prevalence plateaued after 2012 and incidence decreased after 2006. In 2015 (the most recent year estimated) prevalence was 31.6%, and incidence was 3.0%. Medicare claims can serve as an important source of data for diabetes surveillance for the older population, which can inform prevention and treatment strategies.

Indexed as

AgedAged, 80 and overDiabetes MellitusFemaleHumansIncidenceMaleMedicarePrevalenceUnited States

Identifiers

PMID31671084
PMCPMC6822811
OpenAlexW2982457453

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.