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Record W2912049736 · doi:10.1097/mph.0000000000001428

Langerhans Cell Histiocytosis Presenting as Enterocolitis and Shock in Neonate

2019· article· en· W2912049736 on OpenAlexaff
Luisa Barón González de Suso, Marta Olmedilla Jódar, Vanesa Pérez Alonso, Ana Melgar Bonis

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineLangerhans cell histiocytosisHepatosplenomegalyEnterocolitisAbdominal distensionHistiocytosisExploratory laparotomyFailure to thrivePediatricsPathognomonicErythrodermaDermatologyDiseasePathologySurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: Enterocolitis is a relatively common disease in neonatal period that can be a result of many underlying pathologies. One of them, which is an unusual disorder especially in neonatal age and with gastrointestinal involvement, is Langerhans cell histiocytosis (LCH). This case shows a severe neonatal LCH with digestive involvement which required intensive care and had an abnormal presentation, being hard to diagnose attributable to the diversity of symptoms. CASE REPORT: Eleven-day-old newborn presented for excessive weight loss followed by deterioration to shock, abdominal distension, digestive bleeding, and purpuric exanthema. Exploratory laparotomy identified aggressive enterocolitis. After stabilization, a significant hepatosplenomegaly persists as well as bicytopenia, pyrexia, and cutaneous lesions evolving tangible purple. LCH was diagnosed through histology of cutaneous biopsy. CONCLUSIONS: Gastrointestinal involvement in neonatal LCH is infrequent and its symptoms can be really unspecific. It is important to know that the first clinical manifestation is usually dermatologic with very diverse morphologies. Having a high suspect rate will lead us to an early diagnosis with its correspondent impact upon the outcome.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.011
GPT teacher head0.292
Teacher spread0.281 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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