MétaCan
Menu
Back to cohort
Record W4399327057 · doi:10.1161/circresaha.124.324327

Cerebrovascular Effects of Sildenafil in Small Vessel Disease: The OxHARP Trial

2024· article· en· W4399327057 on OpenAlexfundno aff
Alastair J.S. Webb, Jacqueline Birks, Karolina A Feakins, Amy Lawson, Jesse Dawson, Alexander Rothman, David J. Werring, Osian Llwyd, Catriona Stewart, James Thomas

Bibliographic record

VenueCirculation Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and genetic disorders
Canadian institutionsnot available
FundersNIHR Oxford Biomedical Research CentreAlzheimer's SocietyUniversity of OxfordNational Institute for Health and Care ResearchAlzheimer SocietyWellcome Trust
KeywordsSildenafilCilostazolMedicineCardiologycGMP-specific phosphodiesterase type 5Internal medicinePerfusionVascular diseaseCerebral circulationAspirin

Abstract

fetched live from OpenAlex

BACKGROUND: Vascular cognitive impairment due to cerebral small vessel disease is associated with cerebral pulsatility, white matter hypoperfusion, and reduced cerebrovascular reactivity (CVR), and is potentially improved by endothelium-targeted drugs such as cilostazol. Whether sildenafil, a phosphodiesterase-5 inhibitor, improves cerebrovascular dysfunction is unknown. METHODS: OxHARP trial (Oxford Haemodynamic Adaptation to Reduce Pulsatility) was a double-blind, randomized, placebo-controlled, 3-way crossover trial after nonembolic cerebrovascular events with mild-moderate white matter hyperintensities (WMH), the most prevalent manifestation of cerebral small vessel disease. The primary outcome assessed the superiority of 3 weeks of sildenafil 50 mg thrice daily versus placebo (mixed-effect linear models) on middle cerebral artery pulsatility, derived from peak systolic and end-diastolic velocities (transcranial ultrasound), with noninferiority to cilostazol 100 mg twice daily. Secondary end points included the following: cerebrovascular reactivity during inhalation of air, 4% and 6% CO 2 on transcranial ultrasound (transcranial ultrasound-CVR); blood oxygen-level dependent–magnetic resonance imaging within WMH (CVR-WMH) and normal-appearing white matter (CVR-normal-appearing white matter); cerebral perfusion by arterial spin labeling (magnetic resonance imaging pseudocontinuous arterial spin labeling); and resistance by cerebrovascular conductance. Adverse effects were compared by Cochran Q. RESULTS: In 65/75 (87%) patients (median, 70 years;79% male) with valid primary outcome data, cerebral pulsatility was unchanged on sildenafil versus placebo (0.02, −0.01 to 0.05; P =0.18), or versus cilostazol (−0.01, −0.04 to 0.02; P =0.36), despite increased blood flow (∆ peak systolic velocity, 6.3 cm/s, 3.5–9.07; P <0.001; ∆ end-diastolic velocity, 1.98, 0.66–3.29; P =0.004). Secondary outcomes improved on sildenafil versus placebo for CVR-transcranial ultrasound (0.83 cm/s per mm Hg, 0.23–1.42; P =0.007), CVR-WMH (0.07, 0–0.14; P =0.043), CVR-normal-appearing white matter (0.06, 0.00–0.12; P =0.048), perfusion (WMH: 1.82 mL/100 g per minute, 0.5–3.15; P =0.008; and normal-appearing white matter, 2.12, 0.66–3.6; P =0.006) and cerebrovascular resistance (sildenafil-placebo: 0.08, 0.05–0.10; P =4.9×10 −8 ; cilostazol-placebo, 0.06, 0.03–0.09; P =5.1×10 −5 ). Both drugs increased headaches ( P =1.1×10 −4 ), while cilostazol increased moderate-severe diarrhea ( P =0.013). CONCLUSIONS: Sildenafil did not reduce pulsatility but increased cerebrovascular reactivity and perfusion. Sildenafil merits further study to determine whether it prevents the clinical sequelae of small vessel disease. REGISTRATION: URL: https://www.clinicaltrials.gov/study/NCT03855332 ; Unique identifier: NCT03855332.

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)0.001
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
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)0.0040.000

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 head0.049
GPT teacher head0.361
Teacher spread0.313 · 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 designRandomized trial
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

Citations32
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCirculation ResearchSame topicCerebrovascular and genetic disordersFrench-language works237,207