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Record W3008341270 · doi:10.14740/ijcp346

Bone Marrow Necrosis in a Child With Sepsis-Induced Macrophage Activation Syndrome

2020· article· en· W3008341270 on OpenAlexvenueno aff
Biraj Parajuli, Jeyaraj Munusamy, Arun Baranwal, Prashant Sharma, Muralidharan Jayashree

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSepsisMethylprednisoloneBone marrowStaphylococcus aureusMacrophage activation syndromeNecrosisTumor necrosis factor alphaImmunologyAntibioticsMacrophageImmune dysregulationImmune systemInternal medicineBacteria

Abstract

fetched live from OpenAlex

Bone marrow necrosis (BMN) is a rare condition, mostly described with hematological malignancies. Association of BMN with sepsis-induced macrophage activation syndrome (MAS) is rarely reported in the literature. Recently, we managed a 10-year-old girl with Staphylococcus aureus sepsis and MAS who had extensive BMN. Patient initially improved with antibiotics, source control, supportive care and immunomodulatory therapies (intravenous immunoglobulin and methylprednisolone). However, she succumbed to transfusion-related acute lung injury. Sepsis, MAS and BMN seem to represent increasing levels of immune dysregulation, hypercytokinemia and hyperinflammation. Int J Clin Pediatr. 2020;9(1):24-29 doi: https://doi.org/10.14740/ijcp346

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)0.003
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.368
Teacher spread0.312 · 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
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

Citations0
Published2020
Admission routes1
Has abstractyes

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