Evidence map›Paper›PMID 34394945›Full record

ArticleCanadian journal of kidney health and disease2021

Province-Wide Prevalence Testing for SARS-CoV-2 of In-Center Hemodialysis Patients and Staff in Ontario, Canada: A Cross-Sectional Study.

Daphne C Sniekers, James K H Jung, Peter G Blake, Rebecca Cooper, Jerome A Leis, Matthew P Muller, Vlad Padure, Philip Holm, Angie Yeung, Leena Taji and 2 more

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 7 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

12 authors at 5 institutions in 1 country.

Daphne C SniekersOntario Renal Network, Ontario Health, Toronto, ON, Canada.
James K H JungOntario Renal Network, Ontario Health, Toronto, ON, Canada.
Peter G BlakeOntario Renal Network, Ontario Health, Toronto, ON, Canada.
Rebecca CooperOntario Renal Network, Ontario Health, Toronto, ON, Canada.
Jerome A LeisSunnybrook Health Sciences Centre, Toronto, ON, Canada.
Matthew P MullerSt Michael's Hospital, Toronto, ON, Canada.
Vlad PadureHumber River Hospital, Toronto, ON, Canada.
Philip HolmOntario Renal Network, Ontario Health, Toronto, ON, Canada.
Angie YeungOntario Renal Network, Ontario Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-0542-9984
Leena TajiOntario Renal Network, Ontario Health, Toronto, ON, Canada.
Phil McFarlaneOntario Renal Network, Ontario Health, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-2935-9618
Matthew J OliverOntario Renal Network, Ontario Health, Toronto, ON, Canada.
Ontario Stroke Network · CASt. Michael's Hospital · CASunnybrook Health Science Centre · CAHumber River Regional Hospital · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople receiving in-center hemodialysis face a high risk for contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and experience poor outcomes. During the first wave of the coronavirus disease 2019 (COVID-19) pandemic in Ontario (between March and June 2020), it was unclear whether asymptomatic or presymptomatic cases were common and whether widespread testing of all dialysis patients and staff would identify cases earlier and prevent transmission. Ontario has a population of about 14.5 million. Approximately 8900 people receive dialysis across 102 in-center dialysis units.

objectiveThe objective of this study was to determine participation rates for patients and staff in point prevalence testing in dialysis units across the province and to determine the prevalence of asymptomatic or presymptomatic infection.

designCross-sectional study design.

settingIn-center hemodialysis units at 27 renal programs across Ontario.

participantsPatients and staff in in-center dialysis units in Ontario. MEASUREMENTS: Participation rates, demographic data, SARS-CoV-2 positivity rates, and COVID-19-related symptom data.

methodsFrom June 8 to 30, 2020, all in-center dialysis patients and staff in the Province of Ontario were requested to undergo a symptom screening assessment and nasopharyngeal swab. Testing was done using polymerase chain reaction to detect SARS-CoV-2. A standardized questionnaire of atypical and typical COVID-19-related symptoms was administered to patients, to assess for new or worsening COVID-19-related symptoms.

resultsPatient participation was 83% (7155 of 8612) of which 15 tests were positive: less than 5 (<0.07%) were new positive cases, 7 were false positive, and the remaining were recovered positives. Half of the new positive cases had symptoms. Common symptoms reported included fatigue (4%), falls (4%), runny nose (3%), dyspnea (3%), and cough (3%). Staff participation was 49% (2109 of 4325), and less than 5 (<0.24%) were asymptomatic positive. LIMITATIONS: As point prevalence testing was voluntary, not all patients and staff participated. Lower participation rate may be due to decreasing new cases in Ontario, and testing or pandemic fatigue, among other factors. This study did not use serology to identify prior infections because it was not widely available in Ontario. With respect to the standardized symptom questionnaire, it was only available in English and French and could not be tested due to the urgency of the initiative.

conclusionsParticipation among patients in point prevalence testing was good, but participation among staff was relatively low. Asymptomatic positivity in the dialysis patient and staff population was rare during the first wave of the COVID-19 pandemic in Ontario.

Indexed as

chronic population surveillanceCOVID-19kidney failurerenal dialysis

Identifiers

PMID34394945
PMCPMC8358577
OpenAlexW3188358906

What OpenQuestion holds

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LicenceCC BY-NC
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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.