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Record W7025023331

TRANSFUSION-RELATED ALLOIMMUNIZATION IN CHILDREN: EPIDEMIOLOGY AND EFFECTS OF CHEMOTHERAPY (TRACE-EC)

2015· dissertation· en· W7025023331 on OpenAlexaff

Bibliographic record

VenueMacSphere (McMaster University) · 2015
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicPrecipitation Measurement and Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChemotherapyRetrospective cohort studyCohortLogistic regressionEpidemiologyIncidence (geometry)Cohort studyMedical record
DOInot available

Abstract

fetched live from OpenAlex

Background: Red cell transfusions can lead to alloimmunization; however, pediatric alloimmunization frequency has not been well studied, and it may vary among diagnostic subgroups. Subgroups such as pediatric hematology/oncology patients require numerous transfusions during chemotherapy, but the immunosuppressive effect of chemotherapy on alloimmunization is unknown. One study demonstrated reduction in IgM and IgG in pediatric leukemia patients (Martín Ibáñez 2003); hence, one could hypothesize that chemotherapy suppresses alloimmunization.
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\nObjectives: This study aimed to: 1) describe alloimmunization frequency and antibody specificities in transfused pediatric patients; and 2) determine if chemotherapy affects the frequency of alloimmunization.
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\nMethods: A retrospective cohort study of pediatric patients (transfused between April 2002 and November 2011 at Hamilton Health Sciences) was performed. Data were extracted from 3 sources: a blood utilization database; the Laboratory Information System; and chart reviews. The chemotherapy treatment group included pediatric hematology/oncology patients stratified by HSCT status and diagnosis; control cohort included other pediatric patients not diagnosed with cancer. Control patients with hemoglobinopathies were analyzed separately due to increased alloimmunization. Alloimmunization was defined as clinically significant IgG alloantibody formation.
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\nResults: There were 1273 patients in the study: 949 in control group; 324 in study group. Alloimmunization was 1.6% overall: 0.6% (95% CI: 0, 1.47) in study group; 1.3% (95% CI: 0.58, 2.06) in control group. The association between chemotherapy and alloimmunization was not significant (p value = 0.38 Fisher’s exact test; OR 0.46, 95% CI: 0.10, 2.09). Due to low outcome rate, logistic regression to explore the association was not feasible.
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\nConclusions: This is the first study exploring the frequency of alloimmunization in pediatric patients by diagnosis and the association between chemotherapy and alloimmunization. The frequency of alloimmunization was low and no association between chemotherapy and alloimmunization was observed. Low event rate would have contributed to low power.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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