ReviewScientific reports2020
Identifying side effects of commonly used drugs in the treatment of Covid 19.
Review in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled 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.
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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Adverse events associated with monoclonal antibodies used for treatment of COVID-19: A systematic review and meta-analysis.British journal of clinical pharmacology · 2025Pooled it
- Clozapine Therapy and COVID-19: A Systematic Review of the Prevalence Rates, Health Outcomes, Hematological Markers, and Patient Perspectives.Schizophrenia bulletin · 2023Pooled it
- Trial
- Pharmacological Immunomodulation via Collagen-Polyvinylpyrrolidone or Pirfenidone Plays a Role in the Recovery of Patients with Severe COVID-19 Through Similar Mechanisms of Action Involving the JAK/STAT Signalling Pathway: A Pilot Study.Advances in respiratory medicine · 2025Article
- Influence of drought stress on phosphorus dynamics and maize growth in tropical ecosystems.BMC plant biology · 2025Article
- The Application of Biomaterials for the Vaccine, Treatment, and Detection of SARS-CoV-2.ACS omega · 2024Review
- Autochthonous Peruvian Natural Plants as Potential SARS-CoV-2 MPharmaceuticals (Basel, Switzerland) · 2023Article
- Effects of Antidepressants on COVID-19 Outcomes: Retrospective Study on Large-Scale Electronic Health Record Data.Interactive journal of medical research · 2023Article
- Recent updates on liposomal formulations for detection, prevention and treatment of coronavirus disease (COVID-19).International journal of pharmaceutics · 2023Review
- Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity.Healthcare (Basel, Switzerland) · 2022Article
- Assessment of A new Strategy to Prevent Prescribing Errors Involving COVID-19 Patients in Community Pharmacies.Hospital pharmacy · 2022Article
- A SURGE OF TYPE 1 DIABETES MELLITUS AMONG NIGERIAN CHILDREN DURING THE COVID-19 PANDEMIC.Annals of Ibadan postgraduate medicine · 2022Article
- Potential of Microneedle Systems for COVID-19 Vaccination: Current Trends and Challenges.Pharmaceutics · 2022Review
- Population-scale identification of differential adverse events before and during a pandemic.Nature computational science · 2021Article
- Emergent Drug and Nutrition Interactions in COVID-19: A Comprehensive Narrative Review.Nutrients · 2021Review
- SARS-CoV-2-associated gastrointestinal and liver diseases: what is known and what is needed to explore.Egyptian liver journal · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To increase the success in Covid 19 treatment, many drug suggestions are presented, and some clinical studies are shared in the literature. There have been some attempts to use some of these drugs in combination. However, using more than one drug together may cause serious side effects on patients. Therefore, detecting drug-drug interactions of the drugs used will be of great importance in the treatment of Covid 19. In this study, the interactions of 8 drugs used for Covid 19 treatment with 645 different drugs and possible side effects estimates have been produced using Graph Convolutional Networks. As a result of the experiments, it has been found that the hematopoietic system and the cardiovascular system are exposed to more side effects than other organs. Among the focused drugs, Heparin and Atazanavir appear to cause more adverse reactions than other drugs. In addition, as it is known that some of these 8 drugs are used together in Covid-19 treatment, the side effects caused by using these drugs together are shared. With the experimental results obtained, it is aimed to facilitate the selection of the drugs and increase the success of Covid 19 treatment according to the targeted patient.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.