Evidence map›Paper›PMID 38457465›Full record

ArticlePloS one2024

Network analysis of spread of SARS-CoV-2 within dialysis clinics: A multi-center network analysis.

Sunpeng Duan, Yuedong Wang, Peter Kotanko, Hanjie Zhang

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sunpeng DuanDepartment of Statistics and Applied Probability, University of California, Santa Barbara, Santa Barbara, California, United States of America.ORCID 0000-0003-0386-2223
Yuedong WangDepartment of Statistics and Applied Probability, University of California, Santa Barbara, Santa Barbara, California, United States of America.
Peter KotankoDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0003-4373-412X
Hanjie ZhangRenal Research Institute, New York, New York, United States of America.ORCID 0000-0002-0015-5614

Funding

Early detection, containment, and management of COVID-19 in dialysis facilities using multi-modal data sourcesR01DK130067 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI GUO, WENSHENG, KOTANKO, PETER · 2021 to 2023
$2.0M
NIDDK NIH HHS R01 DK130067
6 · The paper itself

Abstract

backgroundIn-center hemodialysis entails repeated interactions between patients and clinic staff, potentially facilitating the spread of COVID-19. We examined if in-center hemodialysis is associated with the spread of SARS-CoV-2 between patients.

methodsOur retrospective analysis comprised all patients receiving hemodialysis in four New York City clinics between March 12th, 2020, and August 31st, 2022. Treatment-level clinic ID, dialysis shift, dialysis machine station, and date of COVID-19 diagnosis by RT-PCR were documented. To estimate the donor-to-potential recipient exposure ("donor" being the COVID-19 positive patient denoted as "COV-Pos"; "potential recipient" being other susceptible patients in the same shift), we obtained the spatial coordinates of each dialysis station, calculated the Euclidean distances between stations and weighted the exposure by proximity between them. For each donor, we estimated the donor-to-potential recipient exposure of all potential recipients dialyzed in the same shift and accumulated the exposure over time within the 'COV-Pos infectious period' as cumulative exposures. The 'COV-Pos infectious period' started 5 days before COVID-19 diagnosis date. We deployed network analysis to assess these interactions and summarized the donor-to-potential recipient exposure in 193 network diagrams. We fitted mixed effects logistic regression models to test whether more donor-to-potential recipient exposure conferred a higher risk of SARS-CoV-2 infection.

resultsOut of 978 patients, 193 (19.7%) tested positive for COVID-19 and had contact with other patients during the COV-Pos infectious period. Network diagrams showed no evidence that more exposed patients would have had a higher chance of infection. This finding was corroborated by logistic mixed effect regression (donor-to-potential recipient exposure OR: 0.63; 95% CI 0.32 to 1.17, p = 0.163). Separate analyses according to vaccination led to materially identical results.

conclusionsTransmission of SARS-CoV-2 between in-center hemodialysis patients is unlikely. This finding supports the effectiveness of non-pharmaceutical interventions, such as universal masking and other procedures to control spread of COVID-19.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansRenal DialysisRetrospective Studies

Identifiers

PMID38457465
PMCPMC10923420

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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.