Evidence map›Paper›PMID 23173757›Full record

ArticleJournal of diabetes2013

Antidepressant use, depression, and new-onset diabetes among elderly Medicare beneficiaries.

Usha Sambamoorthi, Yunsheng Ma, Patricia A Findley, George Rust

Abstract read
In one paragraph

Article in Journal of diabetes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Impact of Muscarinic MCNS drugs · 2017
    Article
  9. Article
  10. Article
  11. The comorbidity between depression and diabetes.Current psychiatry reports · 2013
    Review
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

4 authors.

Usha SambamoorthiDepartment of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA.
Yunsheng Ma
Patricia A Findley
George Rust

Funding

West Virginia CoHORTS CenterR24HS018622 · AHRQ · WEST VIRGINIA UNIVERSITY · PI MADHAVAN, S. SURESH · 2009 to 2011
$1.5M
Depression, Antidepressant Use and Risk of Diabetes in the WHIR21DK083700 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MA, YUNSHENG · 2010 to 2011
$462k
AHRQ HHS 1R24HS018622-03AHRQ HHS R24 HS018622NIDDK NIH HHS R21 DK083700NIDDK NIH HHS R21 DK083700-01A1
6 · The paper itself

Abstract

backgroundThe aim of the present study was to examine the association between antidepressant use, diagnosed depression, and new-onset diabetes among elderly Medicare beneficiaries.

methodsLongitudinal data from merged survey and claims from the nationally representative Medicare Current Beneficiary Survey(MCBS) from 1999 to 2005 were used. Diabetes incidence was extracted from claims and survey data over a 3-year period. Data regarding depression and antidepressant use over time were obtained. Multivariate logistic regression analysis was used to examine associations between antidepressant use, depression, and new-onset diabetes, adjusted for demographic, socioeconomic, and lifestyle risk factors. Analyses accounted for the complex design of the MCBS.

resultsThe incident diabetes rate was 4.8% for those "without depression and without antidepressants" and 9.5% for those with any antidepressant use in all 3 years and diagnosed depression". Compared with Medicare beneficiaries who did not report any antidepressant use, beneficiaries reporting antidepressant use in all 3 years were 50% more likely to have new-onset diabetes. However, when diagnosed depression was entered in the model, there was no significant association between long-term antidepressant use and new-onset diabetes. Medicare beneficiaries with any depression were twice as likely as those without depression to develop diabetes (adjusted odds ratio 2.04; 95% confidence interval 1.51, 2.75).

conclusionsDepression independently increased the risk of developing diabetes in the MCBS population, although there is no evidence of an association between antidepressant use and new-onset diabetes. If replicated, these results have significant clinical implications.

Indexed as

AgedAge of OnsetAntidepressive AgentsDepressive DisorderDiabetes MellitusEducational StatusFemaleHumansLogistic ModelsLongitudinal StudiesMaleMedicareMultivariate AnalysisSocial ClassUnited StatesAntidepressive Agentsantidepressantsdepressiondiabeteselderlyepidemiology抗抑郁药,抑郁症,糖尿病,老年人,流行病学

Identifiers

PMID23173757
PMCPMC3594455

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.