ArticleJournal of leukocyte biology2022
Circulating IL-6 but not neutrophil extracellular traps levels can predict anakinra effectiveness in patients with severe COVID-19.
Article in Journal of leukocyte biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04594356 (Assessment of Netosis During COVID-19, Under Treatment With Anakinra, an Interleukin-1 Receptor Antagonist), which is not on this map. Cited by 2 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.
Assessment of Netosis During COVID-19, Under Treatment With Anakinra, an Interleukin-1 Receptor Antagonist
Who cites it
2 citing papers in PubMed.
- Cytokine-based strategies to improve prognostic enrichment of pediatric ARDS.Critical care (London, England) · 2026Observational
- Recent Advancements in the Delivery of Therapeutic Agents Targeting RNA-dependent RNA Polymerase of SARS-CoV-2.Current medicinal chemistry · 2025Review
Corrections and comments
- Comment on
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Added data on circulating IL-6 levels can predict COVID-19 severity and IL1RA efficiency.
Indexed as
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.