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Record W2553440728 · doi:10.1093/ageing/afw187

Withdrawal of active treatment after intracerebral haemorrhage in the INTERACT2 study

2016· article· en· W2553440728 on OpenAlexaff
Paula Muñoz Venturelli, Xia Wang, Darin B. Zahuranec, Pablo M. Lavados, Christian Stapf, Richard I. Lindley, Candice Delcourt, John Chalmers, Craig S. Anderson, Thompson Robinson

Bibliographic record

VenueAge and Ageing · 2016
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsUniversité de Montréal
FundersNational Institute of Neurological Disorders and StrokeNational Institute on AgingNational Health and Medical Research CouncilNational Institute for Health and Care Research
KeywordsMedicineLogistic regressionModified Rankin ScaleInternal medicineCohortIntracerebral hemorrhageEmergency medicinePediatricsGlasgow Coma ScaleAnesthesia

Abstract

fetched live from OpenAlex

Background: in the second Intensive Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT2), a minority of patients received withdrawal of active treatment (WAT). We wished to determine the characteristics of these patients, and the relation of this decision-making to subsequent management and final outcome. Methods: the INTERACT2 cohort of acute intracerebral haemorrhage (ICH) patients had a decision of WAT within 7 days after hospital admission recorded. Multivariable logistic regression was used to identify the determinants of WAT and poor outcome at 90 days, defined by modified Rankin scale (mRS) scores 3-6. Results: of 2,779 participants with available data, WAT occurred in 121 (4%) and this was significantly associated with increasing age, greater neurological severity, larger haematoma volume, intraventricular extension and randomisation to intensive BP lowering. Compared to other patients, those with WAT had greater mortality (81/121 [67%] versus 205/2624 [8%]; P < 0.001) and survivors were more likely to be severely disabled (mRS score 4-5, 19/39 [49%] versus 695/2419 [29%]; P = 0.006). Conclusions: WAT was undertaken in patients with recognised predictors of poor prognosis, who subsequently were more likely to die or be left with severe disability. Improved understanding of specific factors determining WAT in ICH patients might improve care delivery and outcomes. Clinical Trial Registration: the INTERACT2 study is registered with ClinicalTrials.gov (NCT00716079).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.229

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)0.0000.000

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 head0.017
GPT teacher head0.294
Teacher spread0.277 · 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.

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

Citations7
Published2016
Admission routes1
Has abstractyes

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