Evidence map›Paper›PMID 37015322›Full record

Observational studyJournal of the American Medical Directors Association2023

Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD.

Qiuyuan Qin, Peter Veazie, Helena Temkin-Greener, Rajesh Makineni, Shubing Cai

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Changes in Medicare's Chronic Condition Files and Disparities in Dementia Identification.Journal of the American Medical Directors Association · 2025
    Observational
  2. Disparities in COVID-19-Related Mortality Among Older Adults With Alzheimer's Disease and Related Dementias: Variations Over Time.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025
    Observational
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

5 authors at 1 institution in 1 country.

Qiuyuan QinDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA. Electronic address: Qiuyuan_Qin@urmc.rochester.edu.
Peter VeazieDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Helena Temkin-GreenerDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Rajesh MakineniDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Shubing CaiDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
University of Rochester Medical Center · US

Funding

The impact of COVID-19 pandemic on community-dwelling older adults with ADRDRF1AG063811 · NIA · UNIVERSITY OF ROCHESTER · PI CAI, SHUBING · 2019 to 2020
$2.2M
Telemedicine and health disparities among community-dwelling older adults with ADRD during COVID-19 pandemicRF1AG073052 · NIA · UNIVERSITY OF ROCHESTER · PI CAI, SHUBING · 2021 to 2021
$1.4M
Telemedicine and health disparities among community-dwelling older adults with ADRD during COVID-19 pandemicR01AG073052 · NIA · UNIVERSITY OF ROCHESTER · PI CAI, SHUBING · 2024 to 2024
$245k
NIA NIH HHS R01 AG073052NIA NIH HHS RF1 AG063811NIA NIH HHS RF1 AG073052
6 · The paper itself

Abstract

objectiveTo examine racial/ethnic differences in risk factors, and their associations with COVID-19-related outcomes among older adults with Alzheimer's disease and related dementias (ADRD).

designObservational study. SETTING AND

participantsNational Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533).

methodsTwo outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach.

resultsWe found higher risks of COVID-19-related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19-related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19-related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996-2.841), 64.7% (95% CI: 1.546-1.755), and 37.1% (95% CI: 1.192-1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19-related outcomes could not be completely explained by the identified risk factors. CONCLUSIONS AND IMPLICATIONS: Racial/ethnic differences were detected in the likelihood of having COVID-19-related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19-related outcomes. Future research is needed to elucidate the reasons for these differences.

Indexed as

COVID-19AgedCOVID-19 TestingEthnicityFemaleHumansMaleMedicareRisk FactorsUnited StatesCOVID-19machine learningOlder adults with ADRDracial/ethnic differences

Identifiers

PMID37015322
PMCPMC9995316
OpenAlexW4323667845

What OpenQuestion holds

Textmetadata
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.