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Antiviral Medications for Treatment of Nonsevere Influenza

2025· review· en· W4406308323 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Internal Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsMedicineAntiviral treatmentVirologyIntensive care medicineVirus

Abstract

fetched live from OpenAlex

Importance: The optimal antiviral drug for treatment of nonsevere influenza remains unclear. Objective: To compare effects of antiviral drugs for treating nonsevere influenza. Data Sources: MEDLINE, Embase, CENTRAL, CINAHL, Global Health, Epistemonikos, and ClinicalTrials.gov were searched from database inception to September 20, 2023. Study Selection: Randomized clinical trials comparing direct-acting influenza antiviral drugs to placebo, standard care, or another antiviral drug for treating people with nonsevere influenza. Data Extraction and Synthesis: Paired reviewers independently performed data extraction and risk of bias assessment. A frequentist network meta-analysis was performed to summarize the evidence and the certainty of evidence was evaluated using the GRADE approach. Main Outcomes and Measures: Mortality, admission to hospital, admission to the intensive care unit, duration of hospitalization, time to alleviation of symptoms, emergence of resistance, and adverse events. Results: Overall, 73 trials with 34 332 participants proved eligible. Compared with standard care or placebo, all antiviral drugs had little or no effect on mortality for low-risk patients and high-risk patients (all high certainty). All antiviral drugs (no data for peramivir and amantadine) had little or no effect on hospital admission for low-risk patients (high certainty). For hospital admission in high-risk patients, oseltamivir (risk difference [RD], -0.4%; 95% CI, -1.0 to 0.4; high certainty) had little or no effect and baloxavir may have reduced risk (RD, -1.6%; 95% CI, -2.0 to 0.4; low certainty); all other drugs may have had little or uncertain effect. For time to alleviation of symptoms, baloxavir probably reduced symptom duration (mean difference [MD], -1.02 days; 95% CI, -1.41 to -0.63; moderate certainty); umifenovir may have reduced symptom duration (MD, -1.10 days; 95% CI, -1.57 to -0.63; low certainty); oseltamivir probably had no important effect (MD, -0.75 days; 95% CI, -0.93 to -0.57; moderate certainty). For adverse events related to treatment, baloxavir (RD, -3.2%; 95% CI, -5.2 to -0.6; high certainty) had few or no adverse events; oseltamivir (RD, 2.8%; 95% CI, 1.2 to 4.8; moderate certainty) probably increased adverse events. Conclusions and Relevance: This systematic review and meta-analysis found that baloxavir probably reduced risk of hospital admission for high-risk patients and may reduce time to alleviation of symptoms, without increasing adverse events related to treatment in patients with nonsevere influenza. All other antiviral drugs either probably have little or no effect, or uncertain effects on patient-important outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.177
GPT teacher head0.509
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it