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Record W4253738252 · doi:10.1177/1751143719870088

Evaluating the clinical and cost-effectiveness of permissive hypotension in critically ill patients aged 65 years or over with vasodilatory hypotension: Protocol for the 65 randomised clinical trial

2019· article· en· W4253738252 on OpenAlexaff
Alvin Richards‐Belle, Paul Mouncey, Richard Grieve, David A Harrison, Zia Sadique, Doreen Henry, Chris Whitman, Julie Camsooksai, Anthony Gordon, Duncan Young, Kathy Rowan, François Lamontagne

Bibliographic record

VenueJournal of the Intensive Care Society · 2019
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
FundersHealth Technology Assessment ProgrammeTenax Therapeutics
KeywordsMedicineCritically illClinical trialRandomized controlled trialIntensive care medicineBlood pressureAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Vasodilatory shock is common in critically ill patients and vasopressors are a mainstay of therapy. A meta-analysis suggested that use of a higher, as opposed to a lower, mean arterial pressure target to guide titration of vasopressor therapy, could be associated with a higher risk of death in older critically ill patients. The 65 trial is a pragmatic, multi-centre, parallel-group, open-label, randomised clinical trial of permissive hypotension (a mean arterial pressure target of 60–65 mmHg during vasopressor therapy) versus usual care in critically ill patients aged 65 years or over with vasodilatory hypotension. The trial is conducted in 2600 patients from 65 United Kingdom adult, general critical care units. The primary outcome is all-cause mortality at 90 days. An economic evaluation is embedded. The 65 trial received favourable ethical opinion from the South Central – Oxford C Research Ethics Committee and approval from the Health Research Authority. The results will be presented at national and international conferences and published in peer-reviewed medical journals. Trial registration: ISRCTN10580502

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)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.132
GPT teacher head0.477
Teacher spread0.345 · 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 designRandomized trial
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

Citations4
Published2019
Admission routes1
Has abstractyes

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