ArticleJournal of addiction medicine
Secondary Analysis to Advance Characterization of On-body Electrocardiographic Sensors in a Clinical Cocaine Self-administration Paradigm.
Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
objectivesOur group has previously established how remote on-body electrocardiogram (ECG) sensors may discriminate cocaine use from other sympathomimetic conditions. The current analyses assess whether discriminatory power is mainly driven by differences in heart rate between conditions.
methodsIndividuals who use cocaine (N = 11) wore ECG sensors during (1) cocaine self-administration, (2) methylphenidate administration, (3) aerobic exercise, and (4) tobacco use (N = 9). Primary outcomes included: (1) time elapsed between 2 successive R waves (ie, RR interval), (2) ECG interval proxies, and (3) waveforms. ECG traces were matched for heart rate between conditions for all discriminations.
resultsECG interval proxies and waveforms exhibited high discriminatory power in distinguishing cocaine use from methylphenidate, exercise, and tobacco use, with mean areas under the receiver operating characteristics ranging from 0.87 to 0.99, while RR-related measures ranged from 0.49 to 0.5, reflecting low discriminatory power.
conclusionOur results suggest that the ECG sensors' discriminatory power is based on nuances in ECG data beyond mere changes in heart rate.
Indexed as
Identifiers
What Socratic 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 Socratic graph.