Evidence map›Paper›PMID 33208487›Full record

ArticleDiabetes care2021

Incremental Risk of Developing Severe COVID-19 Among Mexican Patients With Diabetes Attributed to Social and Health Care Access Disadvantages.

Sandra G Sosa-Rubí, Jacqueline A Seiglie, Carlos Chivardi, Jennifer Manne-Goehler, James B Meigs, Deborah J Wexler, Veronika J Wirtz, Octavio Gómez-Dantés, Edson Serván-Mori

Open access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2021. 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
0.6field-weighted citation impact, top 18% 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, 26 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Sandra G Sosa-RubíCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Jacqueline A SeiglieDiabetes Unit, Massachusetts General Hospital, Boston, MA.ORCID 0000-0001-9278-4516
Carlos ChivardiCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0001-7394-481X
Jennifer Manne-GoehlerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA.
James B MeigsDepartment of Medicine, Harvard Medical School, Boston, MA.
Deborah J WexlerDiabetes Unit, Massachusetts General Hospital, Boston, MA.
Veronika J WirtzDepartment of Global Health, Boston University School of Public Health, Boston, MA.
Octavio Gómez-DantésCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Edson Serván-MoriCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico eservan@insp.mx.ORCID 0000-0001-9820-8325
Instituto Nacional de Salud Pública · MXHarvard University · USBoston University · USMassachusetts General Hospital · US

Funding

TRAINING PROGRAM IN ENDOCRINOLOGY AND DIABETEST32DK007028 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Karen K Miller · 1986 to 2026
$18.5M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
NIAID NIH HHS T32 AI007433NIDDK NIH HHS T32 DK007028
6 · The paper itself

Abstract

objectiveDiabetes is an important risk factor for severe coronavirus disease 2019 (COVID-19), but little is known about the marginal effect of additional risk factors for severe COVID-19 among individuals with diabetes. We tested the hypothesis that sociodemographic, access to health care, and presentation to care characteristics among individuals with diabetes in Mexico confer an additional risk of hospitalization with COVID-19. RESEARCH DESIGN AND

methodsWe conducted a cross-sectional study using public data from the General Directorate of Epidemiology of the Mexican Ministry of Health. We included individuals with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 between 1 March and 31 July 2020. The primary outcome was the predicted probability of hospitalization, inclusive of 8.5% of patients who required intensive care unit admission.

resultsAmong 373,963 adults with COVID-19, 16.1% (95% CI 16.0-16.3) self-reported diabetes. The predicted probability of hospitalization was 38.4% (37.6-39.2) for patients with diabetes only and 42.9% (42.2-43.7) for patients with diabetes and one or more comorbidities (obesity, hypertension, cardiovascular disease, and chronic kidney disease). High municipality-level of social deprivation and low state-level health care resources were associated with a 9.5% (6.3-12.7) and 17.5% (14.5-20.4) increased probability of hospitalization among patients with diabetes, respectively. In age-, sex-, and comorbidity-adjusted models, living in a context of high social vulnerability and low health care resources was associated with the highest predicted probability of hospitalization.

conclusionsSocial vulnerability contributes considerably to the probability of hospitalization among individuals with COVID-19 and diabetes with associated comorbidities. These findings can inform mitigation strategies for populations at the highest risk of severe COVID-19.

Indexed as

AdultAgedComorbidityCOVID-19Cross-Sectional StudiesDiabetes MellitusFemaleHealth Services AccessibilityHumansHypertensionIntensive Care UnitsMaleMexicoMiddle AgedObesityRisk Factors

Identifiers

PMID33208487
PMCPMC7818336
OpenAlexW3098839772

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.