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Record W2516350958 · doi:10.1111/petr.12786

A risk‐stratified approach to cytomegalovirus prevention in pediatric solid organ transplant recipients

2016· article· en· W2516350958 on OpenAlexafffundabout
Sneha Suresh, Bonita E. Lee, Joan Robinson, Michael S. Akinwumi, Jutta K. Preiksaitis

Bibliographic record

VenuePediatric Transplantation · 2016
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsStollery Children's HospitalUniversity of Alberta
FundersWomen and Children's Health Research Institute
KeywordsMedicineSerostatusImmunosuppressionCytomegalovirusNeutropeniaTransplantationInternal medicineOrgan transplantationAdverse effectImmunologySurgeryToxicityViral diseaseHerpesviridaeViral loadVirus

Abstract

fetched live from OpenAlex

Optimal strategies to prevent cytomegalovirus (CMV) disease following pediatric solid organ transplantation remain controversial. The purpose of this study was to review the outcomes of a risk-stratified strategy that uses a hybrid or prophylactic strategy for donor (D)+ recipient (R)- patients, a preemptive strategy for D+R+/D-R+, and clinical follow-up alone for D-R+ patients. A retrospective chart review was undertaken at the Stollery Children's Hospital in Edmonton, Alberta for pediatric solid organ transplants 2004 through 2010. Transplants were risk-stratified according to D/R CMV serostatus, organ group, and type of induction or rejection immunosuppression. The incidence of DNAemia and CMV disease and adverse effects from prophylaxis were analyzed. The study included 197 recipients. CMV DNAemia was detected in 49 of 197 recipients (24.8%), and CMV disease occurred in eight of 197 (4%) of which all but one were D+R-. All recovered. Seventeen of 142 recipients who received prophylaxis (12%) had hematologic toxicity. No other toxicities were identified. In conclusion, A risk-stratified approach resulted in very low rates of CMV disease with minimal adverse effects. Lowering the dosage rather than stopping antivirals in the face of neutropenia has the potential to further lower the rate of CMV disease.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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 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

Citations13
Published2016
Admission routes3
Has abstractyes

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