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Record W2800140027 · doi:10.1055/s-0038-1637762

Respiratory Syncytial Virus in Otherwise Healthy Prematurely Born Infants: A Forgotten Majority

2018· review· en· W2800140027 on OpenAlexaff
Bosco Paes

Bibliographic record

VenueAmerican Journal of Perinatology · 2018
Typereview
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineGestational agePediatricsBronchiolitisPneumovirusMechanical ventilationIntensive careLower respiratory tract infectionRespiratory systemRespiratory tract infectionsIntensive care medicinePregnancyVirusInternal medicineParamyxoviridaeViral diseaseImmunology

Abstract

fetched live from OpenAlex

Healthy, premature infants ≤35 weeks' gestational age (wGA) are universally recognized to be at an increased risk of perinatal morbidity and mortality. Serious respiratory syncytial virus (RSV) lower respiratory tract infection imposes an additional burden of illness on these infants following hospitalization. Incurred morbidities relative to term infants include longer lengths of hospital stay, admission to intensive care, and need for oxygen and mechanical ventilation, all of which are associated with increased hospital costs. The highest morbidities are experienced by premature infants who are youngest (<3 months' chronological age) and are of lower gestational age. Short- and long-term follow-up indicates that healthy preterm infants both of lower gestational age and who are late preterm have obstructive lung function at baseline, which is further compromised by RSV-related infection during infancy. There is increasing evidence that childhood exposure to an episode of RSV infection may set the stage for an abnormal respiratory function trajectory, which, in adulthood, leads to chronic obstructive pulmonary disease. Healthy premature infants <32 wGA merit RSV prophylaxis based on existing data, whereas moderate- and high-risk preterm infants 32 to 35 wGA should be selectively and cost-effectively targeted for prophylaxis using validated risk scoring tools and country-specific thresholds for funding.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.988
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.064
GPT teacher head0.444
Teacher spread0.380 · 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 designOther design
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

Citations13
Published2018
Admission routes1
Has abstractyes

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