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Record W2170762856 · doi:10.1002/pbc.25625

Diagnostic and therapeutic challenges in a child with complete Interferon‐γ Receptor 1 deficiency

2015· review· en· W2170762856 on OpenAlexaff
Peter Olbrich, María T. Martínez-Saavedra, José María Pérez‐Hurtado, C. García Sánchez, Berta Sánchez, Caroline Deswarte, Ignacio Obando, Jean‐Laurent Casanova, Carsten Speckmann, Jacinta Bustamante, Carlos Rodríguez‐Gallego, Olaf Neth

Bibliographic record

VenuePediatric Blood & Cancer · 2015
Typereview
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsHospital for Sick Children
FundersNational Center for Advancing Translational SciencesNational Center for Research ResourcesRockefeller UniversityNational Institute of Allergy and Infectious DiseasesMinisterio de Economía y CompetitividadAgence Nationale de la Recherche
KeywordsMedicineBlood cancerHematopoietic stem cell transplantationDiseaseMendelian inheritanceInterferonHaematopoiesisCurative treatmentTransplantationPediatricsImmunologyIntensive care medicineCancerStem cellInternal medicineGeneGenetics

Abstract

fetched live from OpenAlex

Autosomal recessive (AR) complete Interferon-γ Receptor1 (IFN-γR1) deficiency is a rare variant of Mendelian susceptibility to mycobacterial disease (MSMD). Although hematopoietic stem cell transplantation (HSCT) remains the only curative treatment, outcomes are heterogeneous; delayed engraftment and/or graft rejection being commonly observed. This case report and literature review expands the knowledge about this rare but potentially fatal pathology, providing details regarding diagnosis, antimicrobial treatment, transplant performance, and outcome that may help to guide physicians caring for patients with AR complete IFN-γR1 or IFN-γR2 deficiency.

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: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.122
GPT teacher head0.356
Teacher spread0.234 · 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
GenreReview

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

Citations29
Published2015
Admission routes1
Has abstractyes

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