Dosage and utilization of dexamethasone in the management of COVID-19: A critical review
Bibliographic record
Abstract
BACKGROUND The severe respiratory manifestations observed in severe coronavirus disease 2019 (COVID-19) cases are often associated with an excessive inflammatory response. Dexamethasone, a synthetic glucocorticoid, exerts its anti-inflammatory effects by inhibiting the transcription of pro-inflammatory genes and suppressing the activity of various immune cells. This mechanism has implications for mitigating the cytokine storm observed in severe COVID-19 cases. Early on in the pandemic, the Recovery Collaborative working group showed a mortality benefit of using dexamethasone in decreasing mortality in patients with COVID-19 requiring respiratory support. However, the optimal dosage of corticosteroids remains debatable. Several studies that compare different doses of dexamethasone in COVID-19 exist, but the results are conflicting. AIM To review the latest evidence regarding dosage, safety, and efficacy of dexamethasone in severe COVID-19. METHODS We followed preferred reporting items for systematic reviews and meta-analysis guidelines. A detailed literature search was conducted across PubMed, Google Scholar, and Medline to include publications up to March 2024. Our keywords included “COVID-19” “SARS-CoV-2” “dexamethasone” “corticosteroid” “steroid” and “glucocorticoid”-along with their combinations. We employed the Cochrane Risk of Bias Tool and the Newcastle-Ottawa scale to evaluate the integrity and potential of bias in the included studies. A meta-analysis was conducted using a random-effects model, assessing pooled odds ratios and mean differences, with heterogeneity gauged by the I 2 statistic and the χ 2 tests. RESULTS No statistical differences were found in 28-day all-cause mortality [pooled odds ratio (OR) = 1.109, 95%CI: 0.918-1.340], 60-day all-cause mortality (OR = 0.873, 95%CI: 0.744-1.024; I 2 = 47.29%), mean length of hospital stay (mean difference = -0.08 days, 95%CI: -0.001 to 0.161) and adverse events (OR = 0.877, 95%CI: 0.707-1.087). CONCLUSION Differing doses of corticosteroids have no clinical implications on mortality, mean length of hospital stay, and adverse events in COVID-19 patients. Additional research is required in patients requiring invasive or non-invasive ventilation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".