Trial · Observational
Active, not recruitingPhase not statedRegistry dataShort name StoryLCSS
This trial does not test a peptide that PepBank tracks.
United States
1 trial · 1 ongoing
Text and fields below are the sponsor's entries at ClinicalTrials.gov, shown as posted.
The goal of this observational study is to learn about the personality attributes and values of people living with obesity that are part of the Latino community, and how these personality attributes and values can help to predict success during a weight loss program. The main questions it aims to answer are: * What are the personality attributes and values of people living with obesity that sign up to the LCSS-Latino Crossover Semaglutide Study trial? * Can behavioral artificial intelligence (a computer formula) predict which patients will complete the LCSS-Latino Crossover Semaglutide Study trial? * How do behavioral artificial Intelligence predictions (a computer formula) compare to clinician predictions of patient success? * Can behavioral artificial intelligence (a computer formula) predict patient weight loss, calorie consumption and physical activity levels during the LCSS-Latino Crossover Semaglutide Study trial? Participants will be recorded in English and Spanish while responding to a question regarding participation in a weight loss study.
Other
Story-LCSS
Outcomes the sponsor listed as primary.
Predicted patient weight change success
Time frame · The voice data measurement will take place at baseline and take about 10-15 minutes for collection to take place.
Predicted patient weight change as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Weight loss exceeding 5-10 pounds over 6 months will be considered to be successful. Predicted weight change will be compared to the weight change measured in a separate clinical trial \[Latino Crossover Semaglutide Study (LCSS) NCT05087342\]. Similar weight change values between the predicted and measured outcomes will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Clinician predictions
Time frame · The clinician judgement will be measured during the second month of the subject's weight loss study.
Clinician (physician) judgement of patient weight loss success during a weight loss study.
Predicated patient calorie intake
Time frame · The voice data measurement will take place during the subject's initial clinic visit and take about 10-15 minutes for collection to take place.
Predicted patient calorie intake as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Predicted calorie intake will be compared to the calorie intake measured in a separate clinical trial \[Latino Crossover Semaglutide Study (LCSS) NCT05087342\]. Similar calorie values between the predicted and measured outcomes will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Predicated patient physical activity level
Time frame · The voice data measurement will take at baseline and take about 10-15 minutes for collection to take place.
Predicted patient physical activity level as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Predicted physical activity will be compared to the physical activity measured in a separate clinical trial \[Latino Crossover Semaglutide Study (LCSS) NCT05087342\]. Similar physical activity level values between the predicted and measured outcomes will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Personality attributes and values
Time frame · The voice data measurement will take place at baseline and take about 10-15 minutes for collection to take place.
Extrapolated personality attributes and values as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. These are qualitative non-numerical descriptors.
Predicted patient attrition rate
Time frame · The voice data measurement will take place at baseline and take about 10-15 minutes for collection to take place.
Predicted patient attrition rate from the weight loss study as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Predicted patient attrition rate will be compared to the attrition rate occurring during the weight loss study. Similar attrition rates between the predicted and actual rates will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Values are shown as posted at ClinicalTrials.gov, with their units. PepBank has not converted, pooled or compared them.
No results are posted for this trial.
A trial that is still running, or that stopped early, may post results later.
Registry data comes from ClinicalTrials.gov. Study results come from studies, not from the registry. How PepBank works
Studies that cite this trial.
1 study on this page
Indexing hint: Randomized controlled trial · 2021
Wilding et al. 2021The New England journal of medicinecited by 3,862
PMID 33567185DOI 10.1056/nejmoa2032183PUB-33567185
Who could join, as posted.
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