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Record W2540350674 · doi:10.1002/pbc.26308

Salvage therapy for refractory hemophagocytic lymphohistiocytosis: A review of the published experience

2016· review· en· W2540350674 on OpenAlexaff
Rebecca Marsh, Michael B. Jordan, Julie‐An Talano, Kim E. Nichols, Ashish Kumar, Ahmed Naqvi, Sarah R. Vaiselbuh

Bibliographic record

VenuePediatric Blood & Cancer · 2016
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsHemophagocytic lymphohistiocytosisMedicineSalvage therapyRefractory (planetary science)Intensive care medicinePediatricsSurgeryPathologyChemotherapyDiseaseAstrobiology

Abstract

fetched live from OpenAlex

Hemophagocytic lymphohistioytosis (HLH) is a severe, life-threatening hyperinflammatory disorder that requires prompt diagnosis and treatment. Approximately, 25-50% of patients with HLH fail to achieve remission with established regimens that include dexamethasone and etoposide, or methylprednisolone and antithymocyte globulin (ATG). Some of these patients may require salvage or alternative therapeutic approaches. There is a paucity of literature regarding effective salvage therapies for patients with refractory HLH. In this review, we summarize the published experience of four therapeutics reported for using at least two patients with HLH refractory to dexamethasone and etoposide or methylprednisolone and ATG.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.379
Teacher spread0.334 · 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 designNot applicable
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

Citations57
Published2016
Admission routes1
Has abstractyes

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