Evidence map›Paper›PMID 36710882›Full record

ArticleFrontiers in molecular biosciences2022

Plasma enzymatic activity, proteomics and peptidomics in COVID-19-induced sepsis: A novel approach for the analysis of hemostasis.

Fernando Dos Santos, Joyce B Li, Nathalia Juocys, Rafi Mazor, Laura Beretta, Nicole G Coufal, Michael T Y Lam, Mazen F Odish, Maria Claudia Irigoyen, Anthony J O'Donoghue and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. 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
1.6field-weighted citation impact, top 19% of its field
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, 8 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Fernando Dos SantosDepartment of Anesthesiology, School of Medicine, University of California, San Diego, CA, United States.
Joyce B LiDepartment of Bioengineering, University of California, San Diego, CA, United States.
Nathalia JuocysDepartment of Anesthesiology, School of Medicine, University of California, San Diego, CA, United States.
Rafi MazorDepartment of Anesthesiology, School of Medicine, University of California, San Diego, CA, United States.
Laura BerettaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, United States.
Nicole G CoufalDepartment of Pediatrics, School of Medicine, University of California, San Diego, CA, United States.
Michael T Y LamDepartment of Medicine, School of Medicine, University of California, San Diego, CA, United States.
Mazen F OdishDepartment of Medicine, School of Medicine, University of California, San Diego, CA, United States.
Maria Claudia IrigoyenInstituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (InCor-FMUSP), São Paulo, Brazil.
Anthony J O'DonoghueSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, CA, United States.
Federico AlettiInstituto de Ciência e Tecnologia, Universidade Federal de São Paulo, São Josê dos Campos, Brazil.
Erik B KistlerDepartment of Anesthesiology, School of Medicine, University of California, San Diego, CA, United States.
University of California, San Diego · USHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Federal de São Paulo · BRVA San Diego Healthcare System · US

Funding

BLRD VA IK2 BX005908
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19enzymatic activitypeptidomicsproteolysisproteomicssepsis

Identifiers

PMID36710882
PMCPMC9874325
OpenAlexW4315650830

What Socratic holds

Textmetadata
LicenceCC BY
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.