ReviewThe American journal of the medical sciences2021
Novel and Evolving Therapies for COVID-19 Related Pulmonary Complications
Review in The American journal of the medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- Inhaled siRNA Formulations for Respiratory Diseases: From Basic Research to Clinical Application.Pharmaceutics · 2022Review
- Protease inhibitor Camostat Mesyalte blocks wild type SARS-CoV-2 and D614G viral entry in human engineered miniature lungs.Biomaterials · 2022Article
- Calcitonin Gene-Related Peptide (CGRP)-Targeted Monoclonal Antibodies and Antagonists in Migraine: Current Evidence and Rationale.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2022Review
- NO in Viral Infections: Role and Development of Antiviral Therapies.Molecules (Basel, Switzerland) · 2022Review
- Therapeutics for COVID-19 and post COVID-19 complications: An update.Current research in pharmacology and drug discovery · 2022Review
- A comprehensive review on efficient approaches for combating coronaviruses.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021Review
- COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques.Diagnostics (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronaviruses disease 2019 (COVID-19) is the most crucial threat, the world has ever witnessed. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of this disease pandemic. The World Health Organization has confirmed the continuing epidemic as a worldwide public health crisis. Presently, the research on COVID-19 is even in the primitive stage. Studies on unveiling the natural route of COVID-19 infection and related pathophysiology, the biology of pulmonary airways pose a more rational restorative approach in the management of COVID-19. Thus, based on the existing facts, we methodically reviewed the efforts put forth by various research institutes, pharmaceutical companies and biotechnology firms in pulmonary delivery to prevent and control the COVID-19. This article would be valuable for the healthcare community, which is efficiently dealing with the SARS-CoV-2 crisis.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.