ArticleCanadian journal of surgery. Journal canadien de chirurgie2020
Modelling the backlog of COVID-19 cases for a surgical group.
Article in Canadian journal of surgery. Journal canadien de chirurgie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed.
- Article
- Cardiovascular Outcomes in Nova Scotia During the Early Phase of the COVID-19 Pandemic.CJC open · 2022Article
- Reducing Setup and Turnover Times in the OR With an Innovative Sterilization Container: Implications for the COVID-19 Era Military Medicine.Military medicine · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Summary: The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on health care delivery and has resulted in a backlog of patients needing surgery. There is a lack of experience and guidance in dealing with this increased demand on an already overburdened health care system. We created an online tool (www.covidbacklog.com) that helps surgeons explore how resource allocation within their group will affect wait times for patients. After inputting a handful of readily available variables, the computer program generates a forecast of how long it will take to see the backlog of patients. This information could be used to allow surgical groups to run simulations to explore different resource allocation strategies in order to help prevent downstream consequences of delayed patient care.
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Registered trials
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.