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Record W3008368012 · doi:10.1097/mph.0000000000001762

Appendicitis in Neutropenic Pediatric Oncology Patients: A Case Series and Review of the Literature

2020· review· en· W3008368012 on OpenAlexaff
Caileigh Pudela, Scott Lancaster, Eugene D. McGahren, William C. Petersen

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2020
Typereview
Languageen
FieldMedicine
TopicAppendicitis Diagnosis and Management
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsAppendicitisMedicineGeneral surgeryAppendixIntensive care medicineAcute appendicitisPediatric oncologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Appendicitis is the most common reason for which pediatric patients require emergent surgery. Although surgical removal of the appendix is the standard of care for appendicitis, neutropenic patients require special consideration as optimal management for these patients remains controversial. We present a case series of 3 neutropenic patients with appendicitis, all of whom were managed differently according to the circumstances unique to each case. By reviewing key articles in the literature, we explore the safety and efficacy of both medical and surgical management of neutropenic appendicitis and propose an algorithm to help guide decision making.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
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 head0.025
GPT teacher head0.348
Teacher spread0.323 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

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