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Record W2001912641 · doi:10.1097/qco.0b013e3283630e85

Community-acquired respiratory viral infections in lung transplant recipients

2013· review· en· W2001912641 on OpenAlexaff
Sarah Shalhoub, Shahid Husain

Bibliographic record

VenueCurrent Opinion in Infectious Diseases · 2013
Typereview
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineRhinovirusIntensive care medicineVaccinationImmunologyImmune systemVirus

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Community-acquired respiratory virus (CARV) infections are a significant cause of morbidity and sometimes mortality in lung transplant recipients (LTRs); this review will focus on the most recent advances in this field. RECENT FINDINGS: Recent advancements in molecular diagnostics have resulted in the detection of higher rates of CARVs in LTRs. Persistence of rhinovirus has been implicated in the development of acute and chronic rejection, whereas the role of bocavirus remains uncertain. The data on the association of CARV infections with acute or chronic rejection remain less. A recent systematic review failed to show an association between CARV infections and acute or chronic rejection. Different routes of administration of antiviral medications, vaccines and newer promising antiviral medications are being evaluated to assess efficacy and safety. Similarly, newer strategies of vaccination may potentiate the immune response in these patients. SUMMARY: With current advanced investigating tools, the full impact of CARV infections in LTR is increasingly coming to realization. Research for novel effective treatments and improved responses to current and new vaccines is ongoing; they would provide great benefit in solving this complex and ever-evolving problem.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.175
GPT teacher head0.465
Teacher spread0.290 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations28
Published2013
Admission routes1
Has abstractyes

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