ArticlePloS one2022
Superior reproducibility and repeatability in automated quantitative pupillometry compared to standard manual assessment, and quantitative pupillary response parameters present high reliability in critically ill cardiac patients.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05717244 (Comparison of Two Pupillometer for Determining Pupil Diameter in Healthy Participants), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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.
Comparison of Two Pupillometer for Determining Pupil Diameter in Healthy Participants
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Quantitative pupillometry in predicting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.Neurosurgical review · 2026Pooled it
- Near-infrared OCT imaging for the assessment of anisocoria.Eye (London, England) · 2026Article
- Technical validation of a virtual reality-based eye tracker for neuro-ophthalmic assessment: a reliability and reproducibility study.Scientific reports · 2026Article
- Assessing bedside measures of autonomic nervous system dysregulation in the PICU.Pediatric research · 2025Observational
- Video-based pupillometry using Fourier Mellin image correlation.Scientific reports · 2025Article
- Pupillometry in the Emergency Department: A Tool for Predicting Patient Disposition.The western journal of emergency medicine · 2025Observational
- Machine Learning Approaches to Prognostication in Traumatic Brain Injury.Current neurology and neuroscience reports · 2025Review
- Assessing the Inter-Rater and Inter-Trial Reliability of the NeurOptics Pupillary Light Response-3000 Pupillometer.International journal of sports physical therapy · 2025Article
- Innovative Digital Phenotyping Method to Assess Body Representations in Autistic Adults: A Perspective on Multisensor Evaluation.Sensors (Basel, Switzerland) · 2024Article
- Basics, benefits, and pitfalls of pupillometers assessing visual function.Eye (London, England) · 2024Review
- Agreement and repeatability of scotopic pupil size measurement with the 2WIN-S portable refractor in Chinese adults.Scientific reports · 2024Observational
- Specific thresholds of quantitative pupillometry parameters predict unfavorable outcome in comatose survivors early after cardiac arrest.Resuscitation plus · 2023Article
- Updates on Post-Resuscitation Care. After the Return of Spontaneous Circulation beyond the 2021 Guidelines.Reviews in cardiovascular medicine · 2022Review
- Ultra-early neurological pupil index trajectories and clinical outcomes in acute brain injury.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundQuantitative pupillometry is part of multimodal neuroprognostication of comatose patients after out-of-hospital cardiac arrest (OHCA). However, the reproducibility, repeatability, and reliability of quantitative pupillometry in this setting have not been investigated.
methodsIn a prospective blinded validation study, we compared manual and quantitative measurements of pupil size. Observer and device variability for all available parameters are expressed as mean difference (bias), limits of agreement (LoA), and reliability expressed as intraclass correlation coefficients (ICC) with a 95% confidence interval.
resultsFifty-six unique quadrupled sets of measurement derived from 14 sedated and comatose patients (mean age 70±12 years) were included. For manually measured pupil size, inter-observer bias was -0.14±0.44 mm, LoA of -1.00 to 0.71 mm, and ICC at 0.92 (0.86-0.95). For quantitative pupillometry, we found bias at 0.03±0.17 mm, LoA of -0.31 to 0.36 mm and ICCs at 0.99. Quantitative pupillometry also yielded lower bias and LoA and higher ICC for intra-observer and inter-device measurements. Correlation between manual and automated pupillometry was better in larger pupils, and quantitative pupillometry had less variability and higher ICC, when assessing small pupils. Further, observers failed to detect 26% of the quantitatively estimated abnormal reactivity with manual assessment. We found ICC >0.91 for all quantitative pupillary response parameters (except for latency with ICC 0.81-0.91).
conclusionAutomated quantitative pupillometry has excellent reliability and twice the reproducibility and repeatability than manual pupillometry. This study further presents novel estimates of variability for all quantitative pupillary response parameters with excellent reliability.
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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.