Risk Factors for Severe COVID-19 in a Large Medical Records Linkage System in the United States.

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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

1. Usefulness of linked data for infectious disease events: a systematic review.Epidemiology and infection · 2023
   Pooled it
2. The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19.International journal of environmental research and public health · 2022
   Article
3. Time to active sitting position: One-year findings from a temporary COVID-19 intensive care unit.Respiratory medicine · 2022
   Article

Corrections and comments

• AssociatedPublication
  Factors Associated With Severe COVID-19 Infection Among Persons of Different Ages Living in a Defined Midwestern US Population.2021

Authors and funding

1 author.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as