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Record W4400103957 · doi:10.14740/jh1279

Unraveling the Rare Entity of <i>KIT</i> D816V-Negative Systemic Mastocytosis

2024· article· en· W4400103957 on OpenAlexvenueno aff
Ruah Alyamany, Chams Alkhalaf Albachir, S. S. Al-Saleh, Alaa Hamad, Sameeha Kaiser Abdulwali, Ahmad S. Alotaibi, Syed Osman Ahmed, Mansour Alfayez

Bibliographic record

VenueJournal of Hematology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsnot available
Fundersnot available
KeywordsSystemic mastocytosisMedicineSystemic inflammationMyeloproliferative neoplasmUrticaria pigmentosaImmunologyMast cellPathologyInflammationBone marrow

Abstract

fetched live from OpenAlex

Systemic mastocytosis (SM) is a rare type of myeloproliferative neoplasm characterized by abnormal proliferation and infiltration of variable tissue by clonal mast cells. This uncontrolled proliferation and activation of mast cells triggers the release of vasoactive and inflammatory mediators, resulting in a cascade of systemic symptoms. Around 95% of systemic mastocytosis arise from a gain-of-function mutation at the KIT gene, specifically at codon 816, which highlights its essential role in systemic mastocytosis and makes it an attractive target for therapy. Although KIT -negative SM is exceptionally rare, the increased number of cases documented in the literature makes it an intriguing dimension of this disorder. The reported clinical manifestations of KIT -negative SM are widely variable, but many are similar to KIT -positive SM. Therapeutic interventions are tailored based on the severity of the presentation. This report aims to further understand KIT -negative systemic mastocytosis by presenting two cases of KIT -negative SM and analyzing reported cases in the existing literature.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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 designBench or experimental
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

Citations4
Published2024
Admission routes1
Has abstractyes

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