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Record W1967933335 · doi:10.1097/mph.0b013e31828ac89c

Human Metapneumovirus (hMPV) Infection in Children With Cancer

2013· article· en· W1967933335 on OpenAlexaff
Muhammad Ali, Jillian M. Baker, Susan E. Richardson, Sheila Weitzman, Upton Allen, Oussama Abla

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineHuman metapneumovirusPneumoniaRespiratory tractLower respiratory tract infectionRespiratory systemBronchoalveolar lavageRespiratory tract infectionsRespiratory failureMetapneumovirusRespiratory diseaseMechanical ventilationInternal medicineLung

Abstract

fetched live from OpenAlex

Human metapneumovirus (hMPV) has recently emerged as an important cause of lower respiratory tract infections in hospitalized children, causing severe pneumonia and respiratory failure among immunocompromised patients. We retrospectively examined 30 children diagnosed with cancer whose nasopharyngeal swabs were positive for hMPV by direct fluorescent testing over a 5-year period. In 16/30 (53.3%) children, infection was confined to the upper respiratory tract, whereas lower respiratory tract infection occurred in 46.7%. The median duration of respiratory illness was 6.5 days with a hospital admission rate of 66.6%. No mechanical ventilation was required because of hMPV infection. Bronchoalveolar lavage tested positive for hMPV in 1 patient requiring prolonged inhaled steroid and bronchodilator therapy. All children recovered completely from hMPV infection. hMPV causes upper and lower respiratory tract infections in immunocompromised children. Infections may result in significant disease but is usually not fatal. In the absence of specific anti-viral drug, good symptomatic therapy appears to be the optimal therapy.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.395
Teacher spread0.356 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations11
Published2013
Admission routes1
Has abstractyes

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