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Record W4311417700 · doi:10.1097/pcr.0000000000000535

Hemophagocytic Lymphohistiocytosis: A Practical Review for Liver Pathologists

2022· review· en· W4311417700 on OpenAlexaff
Yuqing Xiong, Armando Del Portillo, Ladan Fazlollahi, Helen Remotti, Michael J. Lee, Stephen M. Lagana

Bibliographic record

VenueAJSP Review and Reports · 2022
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsColumbia College
Fundersnot available
KeywordsHemophagocytosisHemophagocytic lymphohistiocytosisMedicinePathologyDiseaseLiver diseaseIntensive care medicineGastroenterologyBone marrow

Abstract

fetched live from OpenAlex

Abstract Hemophagocytic lymphohistiocytosis (HLH) is a rare disease with a high mortality. Liver involvement is common, with most patients demonstrating acute hepatitis. Therefore, liver biopsies are frequently obtained in the setting of suspected HLH. Several studies have described the clinicopathologic manifestations of liver involvement by HLH. The histology is highly variable, as are rates of demonstrated hemophagocytosis. This review summarizes the clinical characteristics of HLH, with particular emphasis on hepatic manifestations thereof. We then describe the histologic patterns that have been commonly and uncommonly reported. Finally, we address difficulties faced by liver pathologists when considering this entity and offer our opinions regarding the worst “pain points.”

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)0.003
metaresearch head score (Gemma)0.004
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 score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.127
GPT teacher head0.438
Teacher spread0.311 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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