Evidence map›Paper›PMID 36415326›Full record

ArticleAnnals of global health2022

COVID-19 and CKD: Employment, Food Security and Healthcare in El Salvador.

Jessica H Leibler, Sinead A Keogh, Emmanuel Jarquín, Ramon Garcia-Trabanino, Juan José Amador Velázquez, Damaris Lopez Pilarte, Marvin Beltran, Iris S Delgado, Zoe E Petropoulos, David J Friedman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

12 authors at 3 institutions in 2 countries.

Jessica H LeiblerDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Sinead A KeoghDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Emmanuel JarquínAgency for Agricultural Health and Development (AGDYSA), San Salvador, El Salvador, SV.
Ramon Garcia-TrabaninoCentro de Hemodiálisis, San Salvador, El Salvador, SV.
Juan José Amador VelázquezDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Damaris Lopez PilarteDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Marvin BeltranAgency for Agricultural Health and Development (AGDYSA), San Salvador, El Salvador, SV.
Iris S DelgadoDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Zoe E PetropoulosDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
David J FriedmanBeth Israel Deaconess Medical Center, Division of Nephrology, Boston, MA, USA.
Daniel R BrooksDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Madeleine K ScammellDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Boston University · USBeth Israel Deaconess Medical Center · USUniversidad Católica de El Salvador · SV

Funding

Environmental Epidemiology in Community SettingsT32ES014562 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Birgit Gunhild Claus Henn · 2006 to 2026
$7.7M
Longitudinal Study of Risk Factors for Mesoamerican Nephropathy among Agricultural Workers in El Salvador, Central AmericaR01ES027584 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SCAMMELL, MADELEINE · 2017 to 2021
$3.6M
Occupational Heat Exposure and Gene-Environment Interactions in Mesoamerican NephropathyF31ES030974 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PETROPOULOS, ZOE · 2019 to 2021
$103k
NIEHS NIH HHS F31 ES030974NIEHS NIH HHS R01 ES027584NIEHS NIH HHS T32 ES014562
6 · The paper itself

Abstract

Background: In Central America, the COVID-19 pandemic coexists with a devastating epidemic of chronic kidney disease of unknown origin. The consequences of these overlapping health crises remain largely unknown. Methods: We assessed vulnerability to and impact of the first wave of COVID-19 on participants in a cohort study of chronic kidney disease (CKD) in El Salvador (n = 229). Participants were contacted by phone during August and September 2020. We queried changes to employment, healthcare access, household income and food security due to the pandemic (from March 2020 until the time of the interview) and COVID-19-associated symptoms during that time. Findings: We reached 94% of the cohort (n = 215). Nearly 40% of participants reported an unexpected change in employment or work activities and 8.8% reported new unemployment due to the pandemic. Participants with CKD (n = 27) had higher odds of reporting new income insecurity, food insecurity, and reductions in medical care access due to the pandemic. COVID-19-associated symptoms (an approximation of disease) were reported in 7.0% (n = 15). Participants with CKD were more likely to report COVID-19-associated symptoms compared to those without CKD, although these differences were not statistically significant. Conclusions: Overall, participants with CKD suffered greater economic consequences as a result of the pandemic and may have experienced higher incidence of COVID-19 disease, although laboratory diagnostics would be required to draw this conclusion. Longitudinal analyses are required to comprehensively evaluate the implications of the pandemic for individuals with CKD in Central America.

Indexed as

COVID-19Renal Insufficiency, ChronicCohort StudiesDelivery of Health CareEl SalvadorEmploymentFood SecurityFood SupplyHumansPandemicsCentral Americachronic kidney diseaseCOVID-19food insecurityMesoamerican nephropathy

Identifiers

PMID36415326
PMCPMC9650984
OpenAlexW4310336269

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LicenceCC BY
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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.