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Record W2912550653

Sodium selenite therapy in the critically ill patients: supplementation or pharmacological intervention?

2013· article· en· W2912550653 on OpenAlexaff
Pascal L. Langlois, William Manzanares, Gil Hardy

Bibliographic record

VenueRéanimation · 2013
Typearticle
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsMedicineSeleniumSepsisToxicityIntensive care unitOrgan dysfunctionPharmacologyIntensive care medicinePharmacokineticsInternal medicineChemistry
DOInot available

Abstract

fetched live from OpenAlex

Sepsis-related organ dysfunction remains a major cause of death in the intensive care unit (ICU). So far, different adjunct therapies including antioxidant micronutrients have been developed to improve survival in septic patients.According to current evidence, selenium therapy should be considered as the cornerstone antioxidant strategy and not only as an antioxidant supplementation in ICU patients. The selenocompounds including selenious acid (H2SeO3) and sodium selenite (Na2SeO3) provided as pentahydrate sodium selenite (5H2O-Na2SeO3) should be considered as drugs with oxidant and cytotoxic effects when a loading dose is administered as intravenous bolus. Teratogenic and carcinogenic risks should also be taken into consideration. Animal studies are still required to define Na2SeO3 mechanisms of action and toxicity. A better understanding of its pharmacokinetic profile, duration of therapy, and long-term toxicity data is required. Additionally, the effect of selenium therapy in sepsis should be assessed in large, well-designed phase III clinical trials. Our purpose is to review selenium therapy in ICU adult patients, investigating whether its effects are related to a simple supplementation or a pharmacological intervention.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.000

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 head0.035
GPT teacher head0.339
Teacher spread0.304 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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