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Record W2009649403 · doi:10.1016/j.bbmt.2008.05.006

Varicella-Zoster Virus Disease Is More Frequent after Cord Blood Than after Bone Marrow Transplantation

2008· article· en· W2009649403 on OpenAlexaff
Kristel Vandenbosch, Philippe Ovetchkine, Martin Champagne, Élie Haddad, Lubomir Alexandrov, Michel Duval

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2008
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineVaricella zoster virusDiseaseIncidence (geometry)TransplantationCumulative incidenceVirusCord bloodConfidence intervalBone marrowInternal medicineImmunology

Abstract

fetched live from OpenAlex

Immune reconstitution may differ following cord blood transplantation (CBT) and bone marrow transplantation (BMT), and this may lead to a difference in varicella zoster virus (VZV) disease rates. One hundred fourteen VZV seropositive children received a CBT (37 patients), or a T-replete BMT (77 patients) at our institution. Patients did not received specific VZV disease prophylaxis. VZV disease was diagnosed by immunofluorescence or culture in 41 (36%) patients. In multivariate analysis, VZV disease was more frequent in older children (relative risk [RR] 1.11 per year; 95% confidence interval [CI], 1.04-1.18; P = .002), and after CBT (RR 2.27; 95% CI, 1.18-4.34; P = .013). The cumulative incidence of VZV disease at 3 years posttransplant was 46% following CBT. VZV disease incidence was 71% in CBT patients over 10 years old at transplant. Visceral dissemination occurred in 7 patients (6 CBT and 1 BMT) (P = .005). VZV disease is thus more frequent and more severe after CBT than after BMT.

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)0.007
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.247
Teacher spread0.235 · 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

Citations45
Published2008
Admission routes1
Has abstractyes

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