Severity of Illness Confusion.

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. Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review.Informatics in medicine unlocked · 2021
   Review
2. The Dependence of Machine Learning on Electronic Medical Record Quality.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
   Article

Corrections and comments

• Commented on by
  The authors reply.2016
• Comment on
  Severity-of-Illness Scoring in Pediatric Critical Care: Quo Vadis?2016

Authors and funding

1 author.

Funding

Abstract

PubMed holds no abstract for this paper.