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Record W20601958 · doi:10.1007/s12630-014-0257-z

Ebola virus disease: an update for anesthesiologists and intensivists

2014· review· en· W20601958 on OpenAlexaff
Duane J. Funk, Anand Kumar

Bibliographic record

VenueCanadian Journal of Anesthesia/Journal canadien d anesthésie · 2014
Typereview
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineEbola virusIntensive care medicineDiseaseEpidemiologyPersonal protective equipmentOutbreakCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)VirologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: Ebola virus disease (EVD) is a viral hemorrhagic fever that is highly transmissible and all too often rapidly fatal. Recent outbreaks in West Africa reveal that this infection has the potential to be transmitted worldwide. Anesthesiologists and intensivists, due to their training in the management of the critically ill, may be called upon to assist in the management of these patients. The focus of this brief review is on the epidemiology, pathogenesis, and management of patients with EVD. SOURCE: Review of the current literature. PRINCIPAL FINDINGS: Ebola virus disease causes severe diarrhea, electrolyte disturbances and other major end-organ dysfunction. Early aggressive resuscitation may reduce the mortality of this disease. There is presently no available vaccine nor cure, with experimental therapies having yielded limited success. Personal protective equipment (PPE) is necessary for all patient contact, and enhanced PPE is required for all aerosol-generating medical procedures. CONCLUSION: Anesthesiologists and intensivists may be called upon to manage patients with EVD. It is important that these clinicians have an appreciation for the epidemiology and pathogenesis of this disease and for the proper utilization of PPE when treating these patients.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.040
GPT teacher head0.328
Teacher spread0.288 · 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 designCase report
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

Citations42
Published2014
Admission routes1
Has abstractyes

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