ArticleIntensive care medicine2020
Incidence of pulmonary embolism in patients with COVID-19.
Article in Intensive care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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
5 citing papers in PubMed.
- A comprehensive review of vascular complications in COVID-19.Journal of thrombosis and thrombolysis · 2022Review
- Mechanistic Insights Into the Immune Pathophysiology of COVID-19; An In-Depth Review.Frontiers in immunology · 2022Review
- Incidence and Outcomes of Pulmonary Embolism among Hospitalized COVID-19 Patients.International journal of environmental research and public health · 2021Article
- A Review of Venous Thromboembolism Phenomena in COVID-19 Patients.Current problems in cardiology · 2021Review
- Prothrombotic phenotype in COVID-19 severe patients.Intensive care medicine · 2020Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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Identifiers
What OpenQuestion holds
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.