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Record W2910164778 · doi:10.1080/1040841x.2018.1514366

Prognostic factors in 264 adults with invasive<i>Scedosporium</i>spp. and<i>Lomentospora prolificans</i>infection reported in the literature and FungiScope<sup>®</sup>

2019· article· en· W2910164778 on OpenAlexaff
Danila Seidel, Arne Meißner, Michaela Lackner, Ellen Piepenbrock, Jon Salmanton‐García, Melanie Stecher, Sibylle C. Mellinghoff, Axel Hamprecht, Luisa Durán Graeff, Philipp Köhler, Matthew P. Cheng, Julie Denis, Isabelle Chedotal, Jagdish Chander, Diana L. Pakstis, Ibai Los‐Arcos, Monica A. Slavin, Maria Teresa Montagna, Giuseppina Caggiano, Mihai Mareș, Janina Trauth, Ute Aurbach, Maria J. G. T. Vehreschild, Jörg Janne Vehreschild, Rafael F. Duarte, Raoul Herbrecht, Hilmar Wisplinghoff, Oliver A. Cornely

Bibliographic record

VenueCritical Reviews in Microbiology · 2019
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsVoriconazoleFungemiaScedosporium apiospermumAmphotericin BAntifungalMedicineInternal medicineMalignancyEpidemiologyIntensive care medicineBiologyDermatology

Abstract

fetched live from OpenAlex

registry. For 208 Scedosporium spp. infections solid organ transplantation (n = 58, 27.9%) and for 56 L. prolificans infection underlying malignancy (n = 28, 50.0%) were the most prevalent risk factors. L. prolificans infections frequently presented as fungemia (n = 26, 46.4% versus n = 12, 5.8% for Scedosporium spp.). Malignancy, fungemia, CNS and lung involvement predicted worse outcome for scedosporiosis and lomentosporiosis. Patients treated with voriconazole had a better overall outcome in both groups compared to treatment with amphotericin B formulations. This review discusses the epidemiology, prognostic factors, pathogen susceptibility to approved and investigational antifungals, and treatment strategies of severe infections caused by Scedosporium spp. and L. prolificans.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations152
Published2019
Admission routes1
Has abstractyes

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