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Record W2094150412 · doi:10.1093/infdis/jit256

Ribavirin for Upper Respiratory Tract Infections

2013· letter· en· W2094150412 on OpenAlexaff
Joan Robinson

Bibliographic record

VenueThe Journal of Infectious Diseases · 2013
Typeletter
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRibavirinRespiratory tract infectionsMedicineRespiratory tractRespiratory systemPneumoniaIntensive care medicineVirologyInternal medicineVirus

Abstract

fetched live from OpenAlex

To the Editor—Chemaly et al should be congratulated for completing the daunting task of fully enrolling their recent study [1]. However, their conclusion that an intermittent ribavirin schedule has higher efficacy than a continuous schedule seems to be premature for several reasons. First, although such studies can decrease the necessary sample size, adaptive randomization schemes remain controversial as they can yield significantly unbalanced treatment arms. The posterior probability required to declare one treatment superior is not standard and was not designated in the methods for this study. The result was an encouraging 0.88. However, the P value for the primary outcome, progression to lower respiratory tract infection (LRTI), remained nonsignificant, at .230. Second, almost all patients in the study had undergone hematopoietic stem cell transplantation. The risk of respiratory syncytial virus LRTI is probably greatest in the first few months after transplantation. Although the difference in the time from transplantation to respiratory syncytial virus infection in the 2 arms was not statistically significant, a mean of 99 days in the arm receiving the continuous schedule seems much shorter than the 166 days observed in the group receiving the intermittent schedule. Finally, the efficacy of aerosolized ribavirin by any schedule for prevention of progression to LRTI has not been proven. The authors have published a very complete systematic review on the topic, but that review identified only a single, small randomized trial involving 14 cases [2]. Pooling nonrandomized studies can lead to significant biases, as many confounding factors contribute to treatment decisions. The current study would have benefitted from a placebo arm. Potential conflicts of interest. Author certifies no potential conflicts of interest. The author has submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.028
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0280.016
Insufficient payload (model declined to judge)0.0060.004

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 head0.044
GPT teacher head0.356
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations2
Published2013
Admission routes1
Has abstractno

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