ArticleMEDtube science2016
A Model-Based Meta-Analysis Evaluating Gender Differences on Blood Flow Responses to Brachial Artery Infusions of Acetylcholine, Albuterol, ATP, Bradykinin, Estradiol, Glyceryl Trinitrate, L-NMMA, Nevibolol, Norepinephrine, Sodium Nitroprusside, Substance P, and Verapamil.
Article in MEDtube science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Applications of Model-Based Meta-Analysis in Drug Development.Pharmaceutical research · 2022Pooled it
- Evaluation of Substance P as a New Stress Parameter in Horses in a Stress Model Involving Four Different Stress Levels.Animals : an open access journal from MDPI · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
introductionNumerous studies have emerged over the course of several decades describing the properties of drugs eliciting vasodilatory or vasoconstrictor responses in the human vasculature. During drug development, decisions to move forward with testing with a new chemical entity are very costly. To fund or not to fund development, go or no-go, decisions are often limited by efficacy comparisons with the current products on the market. The primary aim of this paper is to use dose-response modeling and simulations to quantify differences in blood flow to Acetylcholine, Albuterol, ATP, Bradykinin, 17β-Estradiol, Glyceryl Trinitrate, L-NMMA, Nevibolol, Norepinephrine, Sodium Nitroprusside, Substance P, and Verapamil.
methodsFive studies were identified in the literature that included a total of 12 compounds. Infusion doses were normalized to nmol/min and forearm blood flow values were normalized and scaled to the percent increase or decrease in forearm blood flow from baseline resting values. The original published studies were mathematically modeled using the Emax model or Sigmoid Emax model equation parameters. Lastly, dose-response simulations of higher doses using a virtual population were produced to account for population variability.
resultsThe gender difference between the Emax estimates, interpreted as the %Change from Baseline resting forearm blood flow, were found to be: Albuterol 253%, Acetylcholine 231%, Substance P 159%, Verapamil 145%, Bradykinin 42%, Sodium Nitroprusside 41%, and Glyceryl Trinitrate 26%. Contrastingly, Norepinephrine and L-NMMA Emax gender difference resulted in a 6% and 7% difference, respectively.
conclusionThese results provide insight into the differences in men and women seen in anti-hypertensive patient management. Further, the modeling estimates provide pharmacometricians evaluating new compounds with mathematical parameters for comparative efficacy studies through the various phases of drug development.
Indexed as
Identifiers
28424793PMC5392720W2978034968What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.