Evidence map›Paper›PMID 35975207›Full record

ArticleBioImpacts : BI2022

COVID-19: Artificial sputum, respiratory obstruction method and screening of pyolitic and antihypoxic drugs.

Aleksandr L Urakov, Natalya A Urakova, Ilnur I Yagudin, Milena D Svetova, Darya O Suntsova

Open access · diamondAbstract read
In one paragraph

Article in BioImpacts : BI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 1 institution in 1 country.

Aleksandr L UrakovIzhevsk State Medical Academy, Kommunarov str., 281, Izhevsk, Russia, 426034.ORCID https://orcid.org/0000-0002-9829-9463
Natalya A UrakovaIzhevsk State Medical Academy, Kommunarov str., 281, Izhevsk, Russia, 426034.
Ilnur I YagudinIzhevsk State Medical Academy, Kommunarov str., 281, Izhevsk, Russia, 426034.
Milena D SvetovaIzhevsk State Medical Academy, Kommunarov str., 281, Izhevsk, Russia, 426034.
Darya O SuntsovaIzhevsk State Medical Academy, Kommunarov str., 281, Izhevsk, Russia, 426034.
Izhevsk State Medical Academy · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 causes non-specific pneumonia, which has become a new cause of hypoxia, leading to the death of many patients. Today, there are no effective drugs that provide an urgent increase in blood oxygenation. Therefore, it is urgently necessary to develop drugs to increase blood oxygenation in order to save the lives of patients with the new coronavirus infection. Since hypoxia develops in this disease due to the blockage of respiratory tract with viscous mucus and sputum, an appropriate experimental model is needed for screening and finding new drugs. However this model is yet missing. Therefore, the development of an experimental model of respiratory obstruction by sputum with traces of blood can accelerate the discovery of drugs that eliminate hypoxia and prevent the death of patients with nonspecific pneumonia complicated by respiratory obstruction. The purpose of this letter was to present a model for evaluating the biological activity of drugs, which can become a new vector for the development of effective ways to increase blood oxygenation across pulmonary and save the lives of patients with severe atypical pneumonia complicated by respiratory obstruction in COVID-19.

Indexed as

COVID-19DrugHypoxiaModelScreeningSputum

Identifiers

PMID35975207
PMCPMC9376158
OpenAlexW4289228098

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.