MétaCan
Menu
Back to cohort
Record W1691682690 · doi:10.1155/2015/485802

The Impact of Intravenous Lidocaine on ICP in Neurological Illness: A Systematic Review

2015· review· en· W1691682690 on OpenAlexaff
Frederick A. Zeiler, Nick Sader, Colin Kazina

Bibliographic record

VenueCritical Care Research and Practice · 2015
Typereview
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLidocaineMedicineAnesthesiaMEDLINECochrane LibraryRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

Background. The goal of our study was to perform a systematic review of the literature to determine the effect that intravenous (IV) lidocaine had on ICP in patients with neurological illness. Methods. All articles are from MEDLINE, BIOSIS, EMBASE, Global Health, Scopus, Cochrane Library, the International Clinical Trials Registry Platform (inception to March 2015). The strength of evidence was adjudicated using both the Oxford and GRADE methodology. Results. Ten original articles were considered for the final review. There were 189 patients studied. Seven studies focused on prophylactic pretreatment with IV lidocaine to determine if there would be an attenuation of ICP spikes during stimulation, with 4 displaying an attenuation of ICP. Three studies focused on a therapeutic administration of IV lidocaine in order to determine ICP reduction effects. All therapeutic studies displayed a reduction in ICP. Conclusions. We cannot make a strong definitive recommendation on the effectiveness of IV lidocaine on the attenuation of ICP spikes during stimulation. There currently exists both Oxford 2b and GRADE B literature to support and refute the attenuation of ICP spikes with IV lidocaine during stimulation. There currently exists Oxford 2b, GRADE B evidence to support ICP reduction with lidocaine when used as a therapeutic agent.

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)0.006
metaresearch head score (Gemma)0.111
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.386
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.111
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
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 head0.245
GPT teacher head0.555
Teacher spread0.310 · 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 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

Citations18
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCritical Care Research and PracticeSame topicBotulinum Toxin and Related Neurological DisordersFrench-language works237,207