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Record W4402401943 · doi:10.5747/cv.2024.v16.v373

A CORRELAÇÃO ENTRE O USO DE ESCITALOPRAM EM IDOSOS E O PROLONGAMENTO DO INTERVALO QT.

2024· article· en· W4402401943 on OpenAlexaboutno aff
Fernanda Cristina Poscai Ribeiro, Luiz Cláudio Behrmann Martins, Giuliana Forte, Bruna Kogici Mohammed Hateem

Bibliographic record

VenueColloquium Vitae · 2024
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEscitalopramMedicinePsychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

To achieve the objective of verifying whether there is a correlation between the use of escitalopram in the elderly and QT prolongation, a search was carried out in Pubmed, Scielo and Lilacs. The selected studies were evaluated using the Newcastle-Ottawa scale to assesses study quality. The studies indicate that the link between escitalopram use and serious arrhythmia is weak despite FDA recommendations. The risk of arrhythmia and mortality associated with escitalopram also decreased over time. Cardiac comorbidities increase the risk of QT prolongation and mortality, and modifiable risk factors like hypokalemia and drug interactions should be addressed in at-risk individuals. Healthcare providers face a difficult decision regarding dosage restrictions and medication switching, taking into account escitalopram's effectiveness and tolerability. More research and awareness are needed to optimize antidepressant therapy for cardiac safety.

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)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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 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
Published2024
Admission routes1
Has abstractyes

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