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Record W2111656607 · doi:10.1586/ern.09.162

Blood pressure lowering and stroke

2010· review· en· W2111656607 on OpenAlexaff
Monica Saini, Ashfaq Shuaib

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2010
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineStroke (engine)Blood pressureIntensive care medicineIncidence (geometry)Risk factorDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Hypertension is the most prevalent of the modifiable risk factors for stroke. The benefits of blood pressure (BP) lowering on primary and secondary prevention of stroke are undeniable. Despite this, BP control in hypertensive individuals and patients with prior cerebrovascular events is suboptimal. Noncompliance, inappropriate antihypertensive usage and under-utilization of medications contribute significantly to inadequate BP control. Recently, elegantly designed studies that assessed the preventive role of BP lowering in patients with cerebrovascular disease have helped clarify management issues in terms of BP targets and effective antihypertensive regimens. Current evidence suggests that BP targets for primary and secondary prevention are suboptimal and need reassessment. The effect of BP modulation in acute stroke is still not completely understood. Although the thresholds for BP treatment in acute stroke have been recommended, BP targets are as yet ill-defined. The available evidence supports early lowering of blood pressure following stroke. This review discusses the impact of blood pressure on stroke incidence and outcomes, outlines the recommendations for blood pressure lowering in stroke and delineates questions that still need to be addressed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.067
GPT teacher head0.377
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 designNot applicable
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

Citations15
Published2010
Admission routes1
Has abstractyes

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