Deciphering the triad of infection, immunity and pathology.

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

2 citing papers in PubMed.

1. Temporal transcriptomic analysis using TrendCatcher identifies early and persistent neutrophil activation in severe COVID-19.JCI insight · 2022
   Article
2. A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer.Frontiers in immunology · 2022
   Article

Corrections and comments

• Comment on
  Dynamically linking influenza virus infection kinetics, lung injury, inflammation, and disease severity.2021

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as