Evidence map›Paper›PMID 34604693›Full record

ReviewSleep and vigilance2021

The Endocannabinoid System as Prognostic Biomarker of the Obstructive Sleep Apnea Morbidity in COVID-19-Recovered Individuals.

Eric Murillo-Rodríguez

Open access · bronzeAbstract readReview
In one paragraph

Review in Sleep and vigilance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

1 author at 1 institution in 1 country.

Eric Murillo-RodríguezLaboratorio de Neurociencias Moleculares e Integrativas Escuela de Medicina, División Ciencias de la Salud, Universidad Anáhuac Mayab, Km. 15.5 Carretera Mérida-Progreso, Int. Km. 2 Carretera a Chablekal, C.P. 97308 Mérida, Yucatán México.ORCID 0000-0001-9307-3783
Anahuac Mayab University · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endocannabinoid system is a neurobiological signaling network that is present in the human biological systems, including the brain. This neurobiological system comprises cannabinoid receptors, endogenous ligands, as well as enzymatic synthesis, degradation and transport of endocannabinoids and has been suggested as a modulator of multiple physiological processes, including the sleep-wake cycle. On the other hand, the COVID-19 pandemic, originated by the novel coronavirus SARS-CoV-2, has caused global catastrophes in economic, social, and health spheres. COVID-19 is a multi-organ disease with a broad spectrum of health complications, such as respiratory infections leading to respiratory-related symptoms and disorders. The development, approval, and application of vaccines against SARS-CoV-2 is ongoing; however, there are increasing reports of prolonged effects after COVID-19 infection, including respiratory and neurological sequelae. Here, I provide a comprehensive review of the current literature on the endocannabinoid system and their role in sleep modulation. Whilst I discuss relevant considerations for the high risk for developing sleep disorders related to respiratory failures, such as obstructive sleep apnea (OSA) in recovered COVID-19-infected subjects. Finally, I propose a framework that integrates the analysis of the components of the endocannabinoid system as prognostic biomarkers of the likely OSA after COVID-19 infection.

Indexed as

AnandamideCannabinoid receptorsCOVID-19Fatty acid amide hydrolaseSARS-CoV-2

Identifiers

PMID34604693
PMCPMC8475390
OpenAlexW3202169846

What OpenQuestion 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 OpenQuestion graph.