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Record W2804417866 · doi:10.1097/mop.0000000000000651

Opportunistic fungal infection in children and management

2018· review· en· W2804417866 on OpenAlexaff
Joseph M. Lam

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2018
Typereview
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBlastomycosisIntensive care medicineHistoplasmosisMucormycosisDiseaseOpportunistic infectionAspergillosisImmunologyDermatologyHuman immunodeficiency virus (HIV)Viral diseasePathology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: An opportunistic mycosis is a fungal agent of low pathogenicity that specifically infects immunocompromised hosts. Advances in transplantation, preterm care, immunosuppressive therapies and intensive care, have lead to the emergence of pediatric patients with serious immunodeficiency who are vulnerable to nonpathogenic fungi. RECENT FINDINGS: The advent of the use of biologic agents in pediatric disease as well as the advances in care of preterm and immunosuppressed patients opens up a new cohort of patients at risk of opportunistic mycotic infections. Recent cases of cutaneous histioplasmosis as the presenting sign of hyper-IgM syndrome and the case of cutaneous blastomycosis in a patient treated with infliximab underscore the need to have a high clinical suspicion for deep fungal infections in immunosuppressed patients. SUMMARY: The current review will focus on the cutaneous manifestations of cutaneous infections by Aspergillus, Blastomyces, histoplasmosis, and mucormycosis. Greater understanding of these diseases and high-quality research in identification and treatment can enhance care of patients in the coming future.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.402
Teacher spread0.292 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

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