Convalescent plasma therapy for coronavirus disease 2019 in ambulatory versus hospitalized patients: Efficacy and risk of thromboembolism
Bibliographic record
Abstract
Background Although early evidence concluded a lack of clinical benefit of convalescent plasma therapy (CPT) in COVID-19 management, recent trials have demonstrated the therapeutic potential of CPT in ambulatory care. CPT may also potentiate thromboembolic events, given the presence of coagulation factors and the prothrombotic state of COVID-19. Objectives The present study aimed to assess and compare the clinical efficacy and the risk of venous thromboembolism (VTE)/arterial thromboembolism (ATE) of CPT in ambulatory versus hospitalized patients with COVID-19. Methods MEDLINE, Embase, and Cochrane CENTRAL were searched from December 2019 to December 2022 for randomized controlled trials that investigated the use of CPT against placebo or standard of care in adult patients with COVID-19. The primary outcome was nonmortality disease progression. Secondary outcomes include VTE, ATE, 28-day mortality, clinical improvement, length of hospitalization, sepsis/fever, and major adverse cardiovascular events. Results Twenty randomized controlled trials, with 21,340 patients, were included. CPT significantly reduced nonmortality disease progression in ambulatory patients (odds ratio [OR], 0.72; 95% CI, 0.56-0.92; P = .009) but not in hospitalized patients (OR, 1.03; 95% CI, 0.94-1.12; P = .58). The risk of VTE and ATE did not differ between the CPT and the control group (OR, 1.16; 95% CI, 0.82-1.66; P = .40; and OR, 1.01; 95% CI, 0.37-2.79; P = .98, respectively). No conclusive differences between CPT and control groups were noted in 28-day mortality, clinical improvement, length of hospitalization, risk of sepsis/fever, and major adverse cardiovascular events. Conclusion In conclusion, treatment of COVID-19 with CPT prevents the progression of COVID-19 in the ambulatory care. It is not associated with an increased risk of VTE, ATE, or other adverse events.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".