Evidence map›Paper›PMID 37875801›Full record

ArticleClinical proteomics2023

Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19).

Eric Yamga, Antoine Soulé, Alain Piché, Amin Emad, Madeleine Durand, Simon Rousseau

Open access · goldAbstract readLetter
In one paragraph

Article in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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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

6 authors at 4 institutions in 1 country.

Eric YamgaDepartment of Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada.
Antoine SouléDepartment of Electrical and Computer Engineering, McGill University, Montréal, Canada.
Alain PichéDépartement de Microbiologie et Infectiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Amin EmadDepartment of Electrical and Computer Engineering, McGill University, Montréal, Canada.
Madeleine DurandDepartment of Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada.
Simon RousseauThe Meakins-Christie Laboratories at the Research Institute of the McGill University Health Centre Research Institute, Montréal, QC, Canada. simon.rousseau@mcgill.ca.
Centre Hospitalier de l’Université de Montréal · CAMcGill University · CAMcGill University Health Centre · CAUniversité de Sherbrooke · CA

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2019-04460
6 · The paper itself

Abstract

The quest for understanding and managing the long-term effects of COVID-19, often referred to as Long COVID or post-COVID-19 condition (PCC), remains an active research area. Recent findings highlighted angiopoietin-1 (ANG-1) and p-selectin (P-SEL) as potential diagnostic markers, but validation is essential, given the inconsistency in COVID-19 biomarker studies. Leveraging the biobanque québécoise de la COVID-19 (BQC19) biobank, we analyzed the data of 249 participants. Both ANG-1 and P-SEL levels were significantly higher in patients with PCC participants compared with control subjects at 3 months using the Mann-Whitney U test. We managed to reproduce and validate the findings, emphasizing the importance of collaborative biobanking efforts in enhancing the reproducibility and credibility of Long COVID research outcomes.

Indexed as

BiobankLong COVIDProteomicsReplication study

Identifiers

PMID37875801
PMCPMC10594676
OpenAlexW4387905508

What OpenQuestion 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 OpenQuestion graph.