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Record W2954591365 · doi:10.14740/jh495

Macrophage Activation Syndrome Versus Hemophagocytic Lymphohistiocytosis: A Diagnostic Dilemma in a Patient With Still’s Disease and Epstein-Barr Virus Viremia

2019· article· en· W2954591365 on OpenAlexvenueno aff
Roberta Gomez, Joseph Maakaron, Robert A. Baiocchi

Bibliographic record

VenueJournal of Hematology · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsHemophagocytic lymphohistiocytosisViremiaImmunologyMacrophage activation syndromeMedicineVirusDiseaseImmune dysregulationInflammationImmune systemPathology

Abstract

fetched live from OpenAlex

Macrophage activation syndrome (MAS) and hemophagocytic lymphohistiocytosis (HLH) are two overlapping, potentially fatal syndromes classified by disorganization and malfunction of the immune system that results in wide spread inflammation and end-organ damage. We present the case of a 22-year-old female with both underlying adult-onset still's disease and active Epstein-Barr virus (EVB) viremia who presented with criteria for MAS/HLH. She ultimately improved on an immunosuppressive regimen, and during follow-up was also found to be heterozygote carrier for a known genetic mutation that has been associated with "primary" HLH. This case thus highlights the clinical spectrum of HLH/MAS, the different treatment approaches, and the new investigations into the relationship between primary and secondary HLH.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2019
Admission routes1
Has abstractyes

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