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Record W2022751001 · doi:10.1016/j.bbmt.2007.10.027

Cardiac Chamber Hypertrophy following Hematopoietic Stem Cell Transplantation for Primary Immunodeficiency

2008· article· en· W2022751001 on OpenAlexaff
Sean R. Bulley, Lee Benson, Eyal Grunebaum, Chaim M. Roifman

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineHematopoietic stem cell transplantationLeft ventricular hypertrophyInternal medicineVentricular outflow tract obstructionTransplantationCardiologyBlood pressureGastroenterology

Abstract

fetched live from OpenAlex

Children with primary immune deficiency (PID) who receive hematopoietic stem cell transplantation (HSCT) often suffer from graft-versus-host disease (GVHD), which is commonly treated with corticosteroids (CS). CS may cause hypertension, development of cardiac chamber hypertrophy (CCH), and left ventricular outflow tract obstruction (LVOTO). We followed the development of CCH and LVOTO by serial echocardiograms in 10 children with PID before and 6 to 12 weeks after HSCT, and correlated their development with age of transplant, GVHD, use of CS and hypertension. CCH developed in all 4 children transplanted before 1 year of age who received high dose CS treatment for grade III or IV acute GVHD (aGVHD), but not in the 6 children who were transplanted at later ages or who had not received high-dose CS (P = .07). Significant correlation (P < .002) was found between CCH and blood pressure measurements that deviated above the 99th percentile. One child also suffered from severe LVOTO. CCH and LVOTO improved when CS treatment was discontinued and blood pressure normalized. We conclude that following HSCT, young children who suffer from aGVHD, treated with high CS doses, and have excessive hypertension are at risk of developing CCH.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.226
Teacher spread0.214 · 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 designCase report
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

Citations5
Published2008
Admission routes1
Has abstractyes

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