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Blood pressure lowering efficacy of drugs inhibiting the renin-angiotensin system as second-line therapy for primary hypertension

2020· article· en· W4239705847 on OpenAlexaff
Hai Chang Luo, Zi Xuan Yang, Wei Feng Zhang, Wen Lu Tang, Liang Jin Li, Jenny MH Chen, Balraj S Heran, James M Wright

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsUniversity of British ColumbiaMcGill University
Fundersnot available
KeywordsMedicineBlood pressureRenin–angiotensin systemPharmacologyResistant hypertensionInternal medicineCardiology

Abstract

fetched live from OpenAlex

Objectives This is a protocol for a Cochrane Review (intervention). The objectives are as follows: Primary objective To quantify the additional reduction in systolic blood pressure (SBP) and diastolic blood pressure (DBP) achieved by drugs inhibiting the renin‐angiotensin system (RAS) as second‐line treatment for hypertensive patients. Secondary objectives To determine the effects of second‐line RAS inhibitors on variability of blood pressure To determine the effects of second‐line RAS inhibitors on pulse pressure To quantify the effects of second‐line RAS inhibitors on heart rate To quantify the effects of second‐line RAS inhibitors on withdrawal due to adverse effects

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)0.018
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.049
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0100.013
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0250.002

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 head0.075
GPT teacher head0.311
Teacher spread0.237 · 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 designMeta-analysis
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

Citations0
Published2020
Admission routes1
Has abstractyes

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