The role of COVID-19 in myopathy: incidence, causes, treatment, and prevention
Bibliographic record
Abstract
Myopathy is a disease characterized by muscle dysfunction in general and may be associated with genetics, medication such as statins, or inflammation. In 2019, an epidemic viral infection (SARS-CoV-2 virus) that invaded most countries worldwide appeared and caused acute respiratory disease. Consequently, patients had to take a group of drugs for a relatively long treatment period. According to several studies, there was an increase in the cases of muscular disorders due to several factors. This study aimed to (1) investigate the relationship between COVID-19 and myopathy and (2) identify the causes and prevention methods. A systematic review was conducted, analyzing several articles from the following databases: ResearchGate, Medline, DOAJ (The Directory of Open-Access Journals), PubMed, and Google Scholar. After performing the search and filtering the results, we included 61 articles. There was a strong relationship between COVID-19 and myopathy, especially in patients admitted to the ICU department, due to medication or neurological dysregulation with multiorgan dysfunctions such as polyneuropathy, peripheral nerve involvement, dysautonomia, Guillain-Barré syndrome, and many others.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".