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Record W2923950525 · doi:10.1097/hjh.0000000000002078

Management of supine hypertension in patients with neurogenic orthostatic hypotension

2019· article· en· W2923950525 on OpenAlexaff
Jens Jordan, Alessandra Fanciulli, Jens Tank, Giovanna Calandra–Buonaura, William P. Cheshire, Pietro Cortelli, Sabine Eschlboeck, Guıdo Grassı, Max J. Hilz, Horacio Kaufmann, Heinz Lahrmann, Giuseppe Mancia, Gert Mayer, Lucy Norcliffe‐Kaufmann, Anne Pavy‐Le Traon, Satish R. Raj, David Robertson, Isabel Rocha, Hannes Reuter, Walter Struhal, Roland D. Thijs, Konstantinos Tsioufis, J. Gert van Dijk, Gregor K. Wenning, Italo Biaggioni

Bibliographic record

VenueJournal of Hypertension · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Heart, Lung, and Blood Institute
KeywordsMedicineSupine positionOrthostatic vital signsPure autonomic failureAnesthesiaCardiologyBlood pressureInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

: Supine hypertension commonly occurs in patients with neurogenic orthostatic hypotension due to autonomic failure. Supine hypertension promotes nocturnal sodium excretion and orthostatic hypotension, thus, interfering with quality of life. Perusal of the literature on essential hypertension and smaller scale investigations in autonomic failure patients also suggest that supine hypertension may predispose to cardiovascular and renal disease. These reasons provide a rationale for treating supine hypertension. Yet, treatment of supine hypertension, be it through nonpharmacological or pharmacological approaches, may exacerbate orthostatic hypotension when patients get up during the night. Fall-related complications may occur. More research is needed to define the magnitude of the deleterious effects of supine hypertension on cardiovascular, cerebrovascular, and renal morbidity and mortality. Integration of more precise cardiovascular risk assessment, efficacy, and safety data, and the prognosis of the underlying condition causing autonomic failure is required for individualized management recommendations.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.187
Teacher spread0.179 · 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
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

Citations87
Published2019
Admission routes1
Has abstractyes

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