ArticleSleep2016
Article in Sleep, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05588934 (A Head-to-Head Comparison of the 2B-Alert Caffeine Optimization Algorithm Versus Standard Caffeine Dosing on Performance During Sleep Deprivation), which is not on this map. Cited by 10 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.
A Head-to-Head Comparison of the 2B-Alert Caffeine Optimization Algorithm Versus Standard Caffeine Dosing on Performance During Sleep Deprivation (2B-2)
Who cites it
10 citing papers in PubMed, 27 citations in OpenAlex.
- Randomized, double-blind, placebo-controlled, crossover study of the effects of repeated-dose caffeine on neurobehavioral performance during 48 h of total sleep deprivation.Psychopharmacology · 2019Trial
- [Work-related fatigue in anesthesia and intensive care medicine : Review article on a structural problem].Die Anaesthesiologie · 2026Review
- Caffeine ingestion improves morning neuromuscular performance to evening levels in healthy females.PloS one · 2026Article
- Review
- How effective are Fatigue Risk Management Systems (FRMS)? A review.Accident; analysis and prevention · 2022Review
- 2B-Alert Web 2.0, an Open-Access Tool for Predicting Alertness and Optimizing the Benefits of Caffeine: Utility Study.Journal of medical Internet research · 2022Article
- Walter Reed Army Institute of Research (WRAIR): Fifty Years of Achievements That Impact Science and Society.Military medicine · 2021Article
- Changes in performance and bio-mathematical model performance predictions during 45 days of sleep restriction in a simulated space mission.Scientific reports · 2020Article
- Sleep in the United States Military.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Review
- 2B-Alert App: A mobile application for real-time individualized prediction of alertness.Journal of sleep research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesComputational tools that predict the effects of daily sleep/wake amounts on neurobehavioral performance are critical components of fatigue management systems, allowing for the identification of periods during which individuals are at increased risk for performance errors. However, none of the existing computational tools is publicly available, and the commercially available tools do not account for the beneficial effects of caffeine on performance, limiting their practical utility. Here, we introduce
methodsWe combined our validated Unified Model of Performance and our validated caffeine model to form a single, integrated modeling framework instantiated as a Web-enabled tool.
resultsThe
conclusionsThe publicly accessible
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.