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Record W1055014307 · doi:10.1177/0194599815598969

Isolated Langerhans Cell Histiocytosis Bone Lesion in Pediatric Patients

2015· review· en· W1055014307 on OpenAlexaff
Aren Bezdjian, Abdullah A. Alarfaj, Namrata Varma, Sam J. Daniel

Bibliographic record

VenueOtolaryngology · 2015
Typereview
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMedicineLangerhans cell histiocytosisHead and neckMEDLINECochrane LibraryDermatologySkullPresentation (obstetrics)LesionSurgeryPediatricsPathologyDiseaseRandomized controlled trial

Abstract

fetched live from OpenAlex

OBJECTIVE: The present study reviewed all cases reported of isolated Langerhans cell histiocytosis bone lesions in the head and neck of pediatric patients. The objective was to create a treatment algorithm to facilitate the diagnosis and management of these lesions. DATA SOURCES: Eligible articles were identified through a comprehensive search of the following electronic databases: PubMed, Ovid Medline, Embase, and Cochrane Library. REVIEW METHODS: Two authors independently reviewed the titles and abstracts retrieved by the electronic search concordant with the criteria for study eligibility. The lists of articles from each author were jointly reviewed and a common list created. All relevant articles were reviewed in hard copies and as full texts to justify inclusion. RESULTS: A total of 201 patients (67% male, mean age: 8.1 ± 4.3 years) were included from 45 studies. Clinical presentations included swelling (64%), pain (9%), or both (18%). The skull (61%) and the orbit (24%) were the most common location for isolated bone lesions in the head and neck. The most frequently documented management option was resection, followed by observation, chemotherapy, and intralesional steroid injection. CONCLUSIONS: Due to its rarity and variability in presentation and severity, treatment of these lesions has yet to be standardized. Based on the review, a diagnosis and treatment algorithm was created for head and neck surgeons when encountering these types of lesions.

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)0.000
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 score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.041
GPT teacher head0.317
Teacher spread0.276 · 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

Citations35
Published2015
Admission routes1
Has abstractyes

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