Evidence map›Paper›PMID 36707188›Full record

ArticleThe Lancet. Digital health2023

Multiomics single timepoint measurements to predict severe COVID-19 - Authors' reply.

Kishore Garapati, Seul Kee Byeon, Jesse R Walsh, Garrett Jenkinson, Roberto Cattaneo, John C O'Horo, Andrew D Badley, Akhilesh Pandey

Abstract readLetterComment
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet. Digital health, 2023. 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

8 authors.

Kishore GarapatiDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India; Manipal Academy of Higher Education, Manipal, Karnataka, India.
Seul Kee ByeonDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Jesse R WalshDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Garrett JenkinsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Roberto CattaneoDepartment of Molecular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
John C O'HoroDepartment of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Andrew D BadleyDepartment of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Akhilesh PandeyDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA; Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: pandey.akhilesh@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19HumansMultiomicsSARS-CoV-2

Identifiers

PMID36707188
PMCPMC9876580

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.