ArticlemBio2023
Igniting the slow burn of post-COVID conditions.
Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Post-COVID conditions (PCCs) are persistent new patient symptoms occurring after acute COVID-19 infection and are an increasingly appreciated dimension of the COVID-19 pandemic. The factors that cause PCCs are not well understood. In recent work, Gebo et al. identify a connection between acute IL-6 levels, early COVID-19 convalescent plasma (CP) administration, and later PCCs in subjects from a randomized controlled trial of acutely ill subjects enrolled in 2020 to 2021 (K. A. Gebo, S. L. Heath, Y. Fukuta, X. Zhu, et al., mBio e00618-23, 2023, https://doi.org/10.1128/mbio.00618-23). These results may be viewed as part of an emerging picture linking the intensity of inflammatory responses during acute infection to later PCCs.
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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.