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Record W4412749151 · doi:10.70962/jhi.20250027

Improved outcome of HSCT in STAT1 gain-of-function disease following JAK inhibition bridging

2025· article· en· W4412749151 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Human Immunity · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsHospital for Sick Children
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthNational Center for Advancing Translational SciencesDeutsche Forschungsgemeinschaft
KeywordsBridging (networking)Gain of functionDiseaseMedicineInternal medicineBiologyComputer scienceGeneticsComputer securityMutationGene

Abstract

fetched live from OpenAlex

) are associated with infections, including chronic mucocutaneous candidiasis and autoimmunity. Morbidity is high, and disease manifestations can be life-threatening. Curative allogeneic hematopoietic stem cell transplantation (HSCT) historically has had poor outcomes. We identified 36 patients with STAT1 GOF disease, receiving 40 HSCT procedures in 2010-2023, in a combined effort of the EBMT-IEWP and the PIDTC. Median age at first transplant was 11 years (range 1 - 33). Indications for HSCT were combined immunodeficiency, severe and/or refractory infections, and autoimmunity. Acute GvHD occurred in 22/40 HSCT procedures; 5 patients suffered from grade III/IV acute GvHD. One patient had chronic GvHD. Overall survival was 72.2%, and event-free survival was 55.6%, markedly improved from an earlier report on HSCT for STAT1 GOF disease. Patients with an HCT-CI score of 1 or higher had worse outcome. Pre-treatment with Janus kinase (JAK) inhibitors was associated with better event-free survival.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.280
Teacher spread0.266 · 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