Evidence map›Paper›PMID 32065387›Full record

ArticleJournal of the American Geriatrics Society2020

Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes.

Joshua D Niznik, Jacob N Hunnicutt, Xinhua Zhao, Maria K Mor, Florentina Sileanu, Sherrie L Aspinall, Sydney P Springer, Mary J Ersek, Walid F Gellad, Loren J Schleiden and 3 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

13 authors at 5 institutions in 1 country.

Joshua D NiznikCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.ORCID 0000-0003-1466-5751
Jacob N HunnicuttCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Xinhua ZhaoCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Maria K MorCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Florentina SileanuCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Sherrie L AspinallCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.ORCID 0000-0002-1342-6938
Sydney P SpringerCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Mary J ErsekCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.ORCID 0000-0002-0520-311X
Walid F GelladCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Loren J SchleidenCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Joseph T HanlonCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Joshua M ThorpeCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Carolyn T ThorpeCenter for Health Equity Research and Promotion, Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
University of Pittsburgh · USUniversity of North Carolina at Chapel Hill · USVA Pittsburgh Healthcare System · USNew England College · USPhiladelphia VA Medical Center · US

Funding

Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
De-Intensifying Unnecessary Medications in VA CLC Residents Nearing End of LifeI01HX001759 · VA · VETERANS HEALTH ADMINISTRATION · PI THORPE, CAROLYN TIMBERLAKE · 2018 to 2022
–
HSRD VA I01 HX001759NIA NIH HHS T32 AG021885
6 · The paper itself

Abstract

objectivesMany older adults with limited life expectancy and/or advanced dementia (LLE/AD) are potentially overtreated for diabetes and may benefit from deintensification. Our aim was to examine the incidence and predictors of diabetes medication deintensification in older Veterans with LLE/AD who were potentially overtreated at admission to Veterans Affairs (VA) nursing homes (community living centers [CLCs]).

designRetrospective cohort study using linked VA and Medicare clinical/administrative data and Minimum Data Set assessments.

settingVA CLCs.

participantsA total of 6960 Veterans with diabetes and LLE/AD admitted to VA CLCs in fiscal years 2009 to 2015 with hemoglobin (Hb)A1c measured within 90 days of admission. MEASUREMENTS: We evaluated treatment deintensification (discontinuation or dose reduction for a consecutive 7-day period) among residents who were potentially overtreated (HbA1c ≤7.5% and receiving hypoglycemic medications). Competing risk models assessed 90-day cumulative incidence of deintensification.

resultsMore than 40% (n = 3056) of Veteran CLC residents with diabetes were potentially overtreated. The cumulative incidence of deintensification at 90 days was 45.5%. Higher baseline HbA1c values were associated with a lower likelihood of deintensification (e.g., HbA1c 7.0-7.5% vs <6.0%; adjusted risk ratio [aRR] = .57; 95% confidence interval [CI] = .50-.66). Compared with non-sulfonylurea oral agents (e.g., metformin), other treatment regimens were more likely to be deintensified (aRR = 1.31-1.88), except for basal insulin (aRR = .59; 95% CI = .52-.66). The only resident factor associated with increased likelihood of deintensification was documented end-of-life status (aRR = 1.12; 95% CI = 1.01-1.25). Admission from home/assisted living (aRR = .85; 95% CI = .75-.96), obesity (aRR = .88; 95% CI = .78-.99), and peripheral vascular disease (aRR = .90; 95% CI = .81-.99) were associated with decreased likelihood of deintensification.

conclusionDeintensification of treatment regimens occurred in less than one-half of potentially overtreated Veterans and was more strongly associated with low HbA1c values and use of medications with high risk for hypoglycemia, rather than other resident characteristics. J Am Geriatr Soc 68:736-745, 2020.

Indexed as

AgedAged, 80 and overDementiaDeprescriptionsDiabetes MellitusFemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMedical OveruseRetrospective StudiesSkilled Nursing FacilitiesTerminal CareUnited StatesUnited States Department of Veterans AffairsGlycated HemoglobinHypoglycemic Agentsdeprescribingdiabetesdiabetes overtreatmentnursing homesVeterans Affairs

Identifiers

PMID32065387
PMCPMC7456123
OpenAlexW3007376041

What Socratic holds

Textmetadata
LicenceTDM
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.