Evidence map›Paper›PMID 32847827›Full record

ArticleDiabetes care2020

Diabetes as a Risk Factor for Poor Early Outcomes in Patients Hospitalized With COVID-19.

Jacqueline Seiglie, Jesse Platt, Sara Jane Cromer, Bridget Bunda, Andrea S Foulkes, Ingrid V Bassett, John Hsu, James B Meigs, Aaron Leong, Melissa S Putman and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 10 pooled it
2.8field-weighted citation impact, top 6% 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

73 citing papers in PubMed, 10 syntheses or guidelines pooled it, 138 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Jacqueline SeiglieDiabetes Unit, Massachusetts General Hospital, Boston, MA jseiglie@partners.org.ORCID 0000-0001-9278-4516
Jesse PlattDivision of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA.
Sara Jane CromerDiabetes Unit, Massachusetts General Hospital, Boston, MA.ORCID 0000-0002-4924-2049
Bridget BundaMedical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital, Boston, MA.
Andrea S FoulkesDepartment of Biostatistics, Department of Medicine, Massachusetts General Hospital, Boston, MA.
Ingrid V BassettDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA.
John HsuMongan Institute, Massachusetts General Hospital, Boston, MA.
James B MeigsDepartment of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Aaron LeongDiabetes Unit, Massachusetts General Hospital, Boston, MA.
Melissa S PutmanDiabetes Unit, Massachusetts General Hospital, Boston, MA.
Virginia A TriantDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA.
Deborah J WexlerDiabetes Unit, Massachusetts General Hospital, Boston, MA.
Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA.
Harvard University · USMassachusetts General Hospital · USBoston Children's Hospital · US

Funding

TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
RESEARCH TRAINING IN DIGESTIVE DISEASES AND NUTRITIONT32DK007191 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1986 to 2026
$14.6M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
COVID-19 and Acute Medical Care: Impact on Dementia PatientsR01AG062282 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HSU, JOHN · 2018 to 2022
$4.5M
Enhancing cardiovascular risk estimation in individuals aging with HIV/HCV co-infectionR01AG062393 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI TRIANT, VIRGINIA ATHENA · 2019 to 2023
$4.5M
Impact of Integrated Patient-Facing Health IT Tools on Quality and Resource Use for Patients with DiabetesR01DK085070 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI REED, MARY · 2010 to 2019
$4.4M
Optimizing Cardiovascular Risk Prediction in HIVR01HL132786 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI D'AGOSTINO, RALPH B, TRIANT, VIRGINIA ATHENA · 2017 to 2020
$3.5M
Methods for integrated analysis of multi-level omics dataR01GM127862 · NIGMS · MOUNT HOLYOKE COLLEGE · PI FOULKES, ANDREA S · 2018 to 2022
$1.7M
Mentoring in patient-oriented research on HIV prevention in the US and South AfricaK24AI141036 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Ingrid Valerie Bassett · 2019 to 2026
$1.1M
NHLBI NIH HHS R01 HL132786NIAID NIH HHS K24 AI141036NIAID NIH HHS T32 AI007433NIA NIH HHS R01 AG062282NIA NIH HHS R01 AG062393NIDDK NIH HHS L30 DK122468NIDDK NIH HHS R01 DK085070NIDDK NIH HHS T32 DK007028NIDDK NIH HHS T32 DK007191NIGMS NIH HHS R01 GM127862
6 · The paper itself

Abstract

objectiveDiabetes and obesity are highly prevalent among hospitalized patients with coronavirus disease 2019 (COVID-19), but little is known about their contributions to early COVID-19 outcomes. We tested the hypothesis that diabetes is a risk factor for poor early outcomes, after adjustment for obesity, among a cohort of patients hospitalized with COVID-19. RESEARCH DESIGN AND

methodsWe used data from the Massachusetts General Hospital (MGH) COVID-19 Data Registry of patients hospitalized with COVID-19 between 11 March 2020 and 30 April 2020. Primary outcomes were admission to the intensive care unit (ICU), need for mechanical ventilation, and death within 14 days of presentation to care. Logistic regression models were adjusted for demographic characteristics, obesity, and relevant comorbidities.

resultsAmong 450 patients, 178 (39.6%) had diabetes-mostly type 2 diabetes. Among patients with diabetes versus patients without diabetes, a higher proportion was admitted to the ICU (42.1% vs. 29.8%, respectively,

conclusionsAmong hospitalized patients with COVID-19, diabetes was associated with poor early outcomes, after adjustment for obesity. These findings can help inform patient-centered care decision making for people with diabetes at risk for COVID-19.

Indexed as

Intensive Care UnitsComorbidityCOVID-19Diabetes Mellitus, Type 2FemaleHumansLogistic ModelsMaleMiddle AgedObesityOdds RatioRespiration, ArtificialRisk FactorsSARS-CoV-2

Identifiers

PMID32847827
PMCPMC7770271
OpenAlexW3080607335

What OpenQuestion holds

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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.