ArticleClinical medicine (London, England)2020
Evaluation of a patient self-stratification methodology to identify those in need of shielding during COVID-19.
Article in Clinical medicine (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Impact of Covid-19 on clinical care and lived experience of systemic sclerosis: An international survey from EURORDIS-Rare Diseases Europe.Journal of scleroderma and related disorders · 2021Article
- Rarely pure and never simple: interpreting investigation results in the clinical context.Clinical medicine (London, England) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The logistical challenges of rapidly and accurately identifying those patients who needed to shield during the COVID-19 pandemic were unprecedented. We report our experiences of meeting this challenge for >9,000 patients with rheumatic and musculoskeletal disease at our centre, incorporating an element of guided patient self-stratification. Our results indicate that patients are able to stratify their own risk accurately using the BSR COVID-19 risk stratification guidance.
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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.