Evidence map›Paper›PMID 33061507›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2020

Increased Metabolic Burden Among Blacks: A Putative Mechanism for  Disparate COVID-19 Outcomes.

Girardin Jean-Louis, Arlener D Turner, Peng Jin, Mengling Liu, Carla Boutin-Foster, Samy I McFarlane, Azizi Seixas

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

7 authors at 2 institutions in 1 country.

Girardin Jean-LouisDepartments of Population Health, Psychiatry, and Biostatistics, New York University Langone Health, New York, NY, USA.ORCID 0000-0001-6777-2724
Arlener D TurnerDepartments of Population Health, Psychiatry, and Biostatistics, New York University Langone Health, New York, NY, USA.ORCID 0000-0002-0493-7736
Peng JinDepartment of Biostatistics, New York University Langone Health, New York, NY, USA.
Mengling LiuDepartment of Biostatistics, New York University Langone Health, New York, NY, USA.
Carla Boutin-FosterDepartments of Medicine and Endocrinology, SUNY Downstate Medical Center, New York, NY, USA.
Samy I McFarlaneDepartments of Medicine and Endocrinology, SUNY Downstate Medical Center, New York, NY, USA.ORCID 0000-0001-9208-8326
Azizi SeixasDepartments of Population Health, Psychiatry, and Biostatistics, New York University Langone Health, New York, NY, USA.
NYU Langone Health · USSUNY Downstate Health Sciences University · US

Funding

Slow wave sleep (SWS) and the effect of African ancestry on amyloid burden, a longitudinal studyR01AG056531 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN, OSORIO, RICARDO S · 2018 to 2022
$6.7M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Determinants of insufficient sleep among blacks and effects on disparities in health outcomesR01HL142066 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN · 2019 to 2023
$4.7M
DORMIR: Determinants, Outcomes, Responses and Markers of Insufficient sleep in Rural-Urban settingsR01HL152453 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2020 to 2024
$3.7M
Promoting Adherence to Sleep Apnea Treatment among Blacks with Metabolic SyndromeR01MD004113 · NIMHD · SUNY DOWNSTATE MEDICAL CENTER · PI JEAN-LOUIS, GIRARDIN · 2009 to 2012
$1.7M
Enhancing Leadership Capacity to Mentor Scientists in Translational Behavioral AD-Related Research (K07)K07AG052685 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN · 2017 to 2021
$645k
NHLBI NIH HHS R01 HL142066NHLBI NIH HHS R01 HL152453NHLBI NIH HHS R25 HL105444NIA NIH HHS K07 AG052685NIA NIH HHS R01 AG056531NIMHD NIH HHS R01 MD004113
6 · The paper itself

Abstract

Mounting evidence shows a disproportionate COVID-19 burden among Blacks. Early findings indicate pre-existing metabolic burden (eg, obesity, hypertension and diabetes) as key drivers of COVID-19 severity. Since Blacks exhibit higher prevalence of metabolic burden, we examined the influence of metabolic syndrome on disparate COVID-19 burden. We analyzed data from a NIH-funded study to characterize metabolic burden among Blacks in New York (Metabolic Syndrome Outcome Study). Patients (n=1035) were recruited from outpatient clinics, where clinical and self-report data were obtained. The vast majority of the sample was overweight/obese (90%); diagnosed with hypertension (93%); dyslipidemia (72%); diabetes (61%); and nearly half of them were at risk for sleep apnea (48%). Older Blacks (age≥65 years) were characterized by higher levels of metabolic burden and co-morbidities (eg, heart disease, cancer). In multivariate-adjusted regression analyses, age was a significant (p≤.001) independent predictor of hypertension (OR=1.06; 95% CI: 1.04-1.09), diabetes (OR=1.03; 95% CI: 1.02-1.04), and dyslipidemia (OR=0.98; 95% CI: 0.97-0.99), but not obesity. Our study demonstrates an overwhelmingly high prevalence of the metabolic risk factors related to COVID-19 among Blacks in New York, highlighting disparate metabolic burden among Blacks as a possible mechanism conferring the greater burden of COVID-19 infection and mortality represented in published data.

Indexed as

blacksCOVID-19 burdendisparitiesmetabolic risk factorsmetabolic syndrome

Identifiers

PMID33061507
PMCPMC7537835
OpenAlexW3090873863

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.