Observational studyMedical care2019
Identifying Common Predictors of Multiple Adverse Outcomes Among Elderly Adults With Type-2 Diabetes.
Observational study in Medical care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Prevalence and impact of polypharmacy in older patients with type 2 diabetes.Aging clinical and experimental research · 2022Pooled it
- Management strategies in older adults with diabetes mellitus and polypharmacy; a narrative review.Hormones (Athens, Greece) · 2026Review
- Polypharmacy and associated factors among patients with type two diabetes mellitus with comorbidity: a multicenter cross-sectional study in Northwest Ethiopia.BMC endocrine disorders · 2025Article
- Polypharmacy and Elevated Risk of Severe Adverse Events in Older Adults Based on the Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System Database.Journal of Korean medical science · 2024Article
- Real-World Hemoglobin A1c Changes, Prescribing Provider Types, and Medication Dose Among Patients with Type 2 Diabetes Mellitus Initiating Treatment with Oral Semaglutide.Advances in therapy · 2023Article
- Effectiveness of countermeasure for polypharmacy by multidisciplinary team review in patients with diabetes mellitus.Journal of diabetes investigation · 2023Observational
- A Novel Method for Identifying a Parsimonious and Accurate Predictive Model for Multiple Clinical Outcomes.Computer methods and programs in biomedicine · 2021Article
- Prevalence of Depressive Symptoms in the Elderly Population Diagnosed with Type 2 Diabetes Mellitus.International journal of environmental research and public health · 2020Article
- The comorbidity of diabetes-depression and its association with disability amongst elderly prison inmates.Revista espanola de sanidad penitenciariaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectiveAs part of a multidisciplinary team managing patients with type-2 diabetes, pharmacists need a consistent approach of identifying and prioritizing patients at highest risk of adverse outcomes. Our objective was to identify which predictors of adverse outcomes among type-2 diabetes patients were significant and common across 7 outcomes and whether these predictors improved the performance of risk prediction models. Identifying such predictors would allow pharmacists and other health care providers to prioritize their patient panels. RESEARCH DESIGN AND
methodsOur study population included 120,256 adults aged 65 years or older with type-2 diabetes from a large integrated health system. Through an observational retrospective cohort study design, we assessed which risk factors were associated with 7 adverse outcomes (hypoglycemia, hip fractures, syncope, emergency department visit or hospital admission, death, and 2 combined outcomes). We split (50:50) our study cohort into a test and training set. We used logistic regression to model outcomes in the test set and performed k-fold validation (k=5) of the combined outcome (without death) within the validation set.
resultsThe most significant predictors across the 7 outcomes were: age, number of medicines, prior history of outcome within the past 2 years, chronic kidney disease, depression, and retinopathy. Experiencing an adverse outcome within the prior 2 years was the strongest predictor of future adverse outcomes (odds ratio range: 4.15-7.42). The best performing models across all outcomes included: prior history of outcome, physiological characteristics, comorbidities and pharmacy-specific factors (c-statistic range: 0.71-0.80).
conclusionsPharmacists and other health care providers can use models with prior history of adverse event, number of medicines, chronic kidney disease, depression and retinopathy to prioritize interventions for elderly patients with type-2 diabetes.
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Registered trials
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