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Record W2989709287 · doi:10.1111/jch.13741

São Paulo call to action for the prevention and control of high blood pressure: 2020

2019· article· en· W2989709287 on OpenAlexaffabout
Norm R.C. Campbell, Aletta E. Schutte, Cherian Varghese, Pedro Ordúñez, Xinhua Zhang, Taskeen Khan, James E. Sharman, Paul K. Whelton, Gianfranco Parati, Michael A. Weber, Marcelo Orías, Marc G. Jaffe, Andrew E. Moran, Frida Liane Plavnik, Venkata Ram, Michael Brainin, Mayowa Owolabi, Augstin J. Ramirez, Eduardo Costa Duarte Barbosa, Luiz Aparecido Bortolotto, Daniel T. Lackland

Bibliographic record

VenueJournal of Clinical Hypertension · 2019
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersWorld Health Organization
KeywordsMedicineExcellenceFamily medicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

This fact sheet and call to action is supported by the World Hypertension League, Argentinian Society of Hypertension, Asia-Pacific Regional Office of the World Hypertension League, South Asian Regional Office of the World Hypertension League, African Research Universities Alliance, Belgian Hypertension Committee, Blue Cross and Blue Shield of Louisiana, Brazilian Hypertension Society, Bulgarian Hypertension League, Caja Costarricense de Seguro Social (Costa Rican Social Security Fund), Cameroon Heart Foundation, Chinese Hypertension League, Colleagues In Care, Hypertension Canada, European Society of Hypertension, European Society of Cardiology Council on Hypertension, Ibadan Center of Excellence for Non-communicable Diseases, Indian Society of Hypertension, International Council of Cardiovascular Prevention and Rehabilitation, International Society of Hypertension, International Society for the Study of Hypertension in Pregnancy, International Society of Nephrology, Iranian Heart Foundation, Lancet Commission on Hypertension Group, Latin American Society of Nephrology and Hypertension, Latvian Society of Hypertension and Atherosclerosis, Mongolian Society of Hypertension, National Technical Advisory Committee of the Arterial Hypertension Program of Cuba (Ministry of Public Health), NHMRC Centre of Research Excellence in Cardiovascular Outcomes Improvement (Australia), Onom Foundation (Mongolia), Philippine Society of Hypertension, Resolve to Save Lives, Saudi Hypertension Management Society, Sociedade Portuguesa de Hipertensão, South Asia Regional Office of the World Hypertension League, Stroke Control Innovations Initiative of Nigeria, Stroke Investigative Research and Educational Network (SIREN), Sudanese Society of Hypertension, Swedish Society for Hypertension, Stroke and Vascular Medicine, Stroke Association Support Network-Ghana, Taiwan Hypertension Society, Taiwan Society of Cardiology, Thai Hypertension Society, University of São Paulo at Ribeirão Preto College of Nursing, World Hypertension Action Group, World Health Summit, World Stroke Organization. NRCC was a paid consultant to the Novartis Foundation (2016-2017) to support their program to improve hypertension control in low- to middle-income countries, which includes travel support for site visits and a contract to develop a survey. NRCC has provided paid consultative advice on accurate blood pressure assessment to Midway Corporation (2017) and is an unpaid member of World Action on Salt and Health (WASH). AES received speaker fees from Novartis and Omron for scientific lectures on blood pressure and risk assessment, and Servier for presenting on raising awareness of blood pressure measurement. She is a paid consultant to Abbott Pharmaceuticals on antihypertensive medication and is President of the International Society of Hypertension. MAW has served as a consultant to AbbVie and Bristol Myers Squibb on drug safety and has received travel funds from Omron. He is a member of advisory boards of Medtronic, ReCor, and Ablative Solutions. MO reports honoraria for talks from Glaxo Smith Kline (GSK) and Takeda Inc GP reports honoraria from Omron Health Care, Sanofi, and Servier. AR reports conference support by Servier. PW, LAB, PO, XHZ, CV, TK, DL, MJ, AM, FLP, MB, EB, and JS do not have any financial conflicts of interest to declare.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.073
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0600.042

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 head0.370
Teacher spread0.295 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations73
Published2019
Admission routes2
Has abstractyes

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