Evidence map›Paper›PMID 33857168›Full record

ArticlePloS one2021

Laboratory correlates of SARS-CoV-2 seropositivity in a nationwide sample of patients on dialysis in the U.S.

Shuchi Anand, Maria E Montez-Rath, Jialin Han, Pablo Garcia, Julie Bozeman, Russell Kerschmann, Paul Beyer, Julie Parsonnet, Glenn M Chertow

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
0.1field-weighted citation impact, top 60% 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, 1 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

9 authors at 1 institution in 1 country.

Shuchi AnandDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.ORCID 0000-0002-9892-8477
Maria E Montez-RathDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.
Jialin HanDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.ORCID 0000-0001-5731-8974
Pablo GarciaDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.ORCID 0000-0002-8482-8192
Julie BozemanAscend Clinical Laboratory, Redwood City, California, United States of America.
Russell KerschmannAscend Clinical Laboratory, Redwood City, California, United States of America.
Paul BeyerAscend Clinical Laboratory, Redwood City, California, United States of America.
Julie ParsonnetDivision of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.
Glenn M ChertowDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States of America.ORCID 0000-0002-7599-0534
Stanford University · US

Funding

Chronic kidney disease of unknown etiology: applying a multidisciplinary approach to investigate the world's most common tubulointerstitial kidney diseaseR01DK127138 · NIDDK · STANFORD UNIVERSITY · PI MONTEZ RATH, MARIA · 2021 to 2025
$2.7M
Epidemiology and management of chronic kidney disease in South AsiansK23DK101826 · NIDDK · STANFORD UNIVERSITY · PI ANAND, SHUCHI · 2014 to 2018
$919k
NIDDK NIH HHS K23 DK101826NIDDK NIH HHS R01 DK127138NIH HHS 5K23DK101826
6 · The paper itself

Abstract

Patients on dialysis are at high risk for death due to COVID-19, yet a significant proportion do survive as evidenced by presence of SARS-CoV-2 antibodies in 8% of patients in the U.S. in July 2020. It is unclear whether patients with seropositivity represent the subgroup with robust health status, who would be more likely to mount a durable antibody response. Using data from a July 2020 sample of 28,503 patients receiving dialysis, we evaluated the cross-sectional association of SARS-CoV-2 seropositivity with laboratory surrogates of patient health. In separate logistic regression models, we assessed the association of SARS-CoV-2 seropositivity with seven laboratory-based covariates (albumin, creatinine, hemoglobin, sodium, potassium, phosphate, and parathyroid hormone), across the entire range of the laboratory and in comparison to a referent value. Models accounted for age, sex, region, race and ethnicity, and county-level COVID-19 deaths per 100,000. Odds of seropositivity for albumin 3 and 3.5 g/dL were 2.1 (95% CI 1.9-2.3) and 1.3 (1.2-1.4) respectively, compared with 4 g/dL. Odds of seropositivity for serum creatinine 5 and 8 mg/dL were 1.8 (1.6-2.0) and 1.3 (1.2-1.4) respectively, compared with 12.5 mg/dL. Lower values of hemoglobin, sodium, potassium, phosphate, and parathyroid hormone were associated with higher odds of seropositivity. Laboratory values associated with poorer health status and higher risk for mortality were also associated with higher likelihood of SARS-CoV-2 antibodies in patients receiving dialysis.

Indexed as

Renal DialysisAdolescentAdultAgedAged, 80 and overCOVID-19COVID-19 Serological TestingCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2United StatesYoung Adult

Identifiers

PMID33857168
PMCPMC8049224
OpenAlexW3155059886

What OpenQuestion holds

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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.