Evidence map›Paper›PMID 32511586›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Testing the association between blood type and COVID-19 infection, intubation, and death.

Michael Zietz, Jason Zucker, Nicholas P Tatonetti

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Michael ZietzDepartment of Biomedical Informatics, Columbia University Irving Medical Center.ORCID 0000-0003-0539-630X
Jason ZuckerDepartment of Medicine, Columbia University Irving Medical Center.ORCID 0000-0001-6987-6412
Nicholas P TatonettiDepartment of Biomedical Informatics, Columbia University Irving Medical Center.ORCID 0000-0002-2700-2597

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Precision Pharmacology and Pharmacovigilance: Leveraging AI to address drug safety knowledge gapsR35GM131905 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Nicholas P Tatonetti · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM131905NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

The rapid global spread of the novel coronavirus SARS-CoV-2 has strained healthcare and testing resources, making the identification and prioritization of individuals most at-risk a critical challenge. Recent evidence suggests blood type may affect risk of severe COVID-19. We used observational healthcare data on 14,112 individuals tested for SARS-CoV-2 with known blood type in the New York Presbyterian (NYP) hospital system to assess the association between ABO and Rh blood types and infection, intubation, and death. We found slightly increased infection prevalence among non-O types. Risk of intubation was decreased among A and increased among AB and B types, compared with type O, while risk of death was increased for type AB and decreased for types A and B. We estimated Rh-negative blood type to have a protective effect for all three outcomes. Our results add to the growing body of evidence suggesting blood type may play a role in COVID-19.

Identifiers

PMID32511586
PMCPMC7276013

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.