ReviewJournal of medical toxicology : official journal of the American College of Medical Toxicology2017
Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research.
Review in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Discriminating cocaine use from other sympathomimetics using wearable electrocardiographic (ECG) sensors.Drug and alcohol dependence · 2023Article
- Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment.ACS omega · 2023Review
- Mapping precision public health definitions, terminology and applications: a scoping review protocol.BMJ open · 2022Article
- Deployment of a wearable biosensor system in the emergency department: a technical feasibility study.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2021Article
- JMT's Research Concepts Section: a 5-Year Evaluation.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2019Article
- Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research.Addictive behaviors · 2018Review
- The Role of Technology-Based Interventions for Substance Use Disorders in Primary Care: A Review of the Literature.The Medical clinics of North America · 2018Review
- Big Data's Role in Precision Public Health.Frontiers in public health · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Rapid proliferation of mobile technologies in social and healthcare spaces create an opportunity for advancement in research and clinical practice. The application of mobile, personalized technology in healthcare, referred to as mHealth, has not yet become routine in toxicology. However, key features of our practice environment, such as frequent need for remote evaluation, unreliable historical data from patients, and sensitive subject matter, make mHealth tools appealing solutions in comparison to traditional methods that collect retrospective or indirect data. This manuscript describes the features, uses, and costs associated with several of common sectors of mHealth research including wearable biosensors, ingestible biosensors, head-mounted devices, and social media applications. The benefits and novel challenges associated with the study and use of these applications are then discussed. Finally, opportunities for further research and integration are explored with a particular focus on toxicology-based applications.
Indexed as
Identifiers
What 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.