ArticleBrain sciences2022
Neurological Pupil Index for the Early Prediction of Outcome in Severe Acute Brain Injury Patients.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic value of automated pupillometry in traumatic brain injury: a systematic review and meta-analysis.Neurosurgical review · 2026Pooled it
- Exploring the relative stability of automated infrared pupillometry parameters under sedative and analgesic exposure after cardiac surgery.BMC anesthesiology · 2026Observational
- Persistence of NPi differential predicts outcome at intensive care unit discharge: a single-center retrospective analysis.Journal of anesthesia, analgesia and critical care · 2026Article
- Automated pupillometry for detection of delirium in surgical intensive care patients.Frontiers in medicine · 2026Article
- Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury.Critical care explorations · 2025Observational
- Automated pupillometry is a predictor of outcome of stroke patients: an observational, prospective, cohort study.Brain communications · 2025Article
- There Is Significant Within-Subject Variation in the Time from Light Stimulus to Maximum Pupil Constriction Among Healthy Controls.Journal of clinical medicine · 2024Article
- PupilMetrics: a support system for preprocessing of pupillometric data and extraction of outcome measures.Scientific reports · 2024Article
- Development of an Innovative Pupillometer Able to Selectively Stimulate the Eye's Fundus Photoreceptor Cells.Diagnostics (Basel, Switzerland) · 2024Article
- Prediction of neurocritical care intensity through automated infrared pupillometry and transcranial doppler in blunt traumatic brain injury: the NOPE study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Observational
- Basics, benefits, and pitfalls of pupillometers assessing visual function.Eye (London, England) · 2024Review
- A Review of the Use of Gaze and Pupil Metrics to Assess Mental Workload in Gamified and Simulated Sensorimotor Tasks.Sensors (Basel, Switzerland) · 2024Review
- Influence of Sevoflurane on the Neurological Pupil Index in Surgical and Critically Ill Patients: A Pilot Study.Brain sciences · 2024Article
- The Role of Automated Infrared Pupillometry in Traumatic Brain Injury: A Narrative Review.Journal of clinical medicine · 2024Review
- Neuromonitoring During ECMO Support in Children.Neurocritical care · 2023Review
- Pupil dilation response elicited by violations of auditory regularities is a promising but challenging approach to probe consciousness at the bedside.Scientific reports · 2023Article
- The prognostic potential of pupillometry in patients with acute brain injury.The Lancet. Neurology · 2023Article
- Neurological Pupillary Index (NPi) Measurement Using Pupillometry and Outcomes in Critically Ill Children.Cureus · 2023Article
- Application of Pupillometry in Neurocritical Patients.Journal of personalized medicine · 2023Review
- Neurological Pupillary Index and Disposition at Hospital Discharge following ICU Admission for Acute Brain Injury.Journal of clinical medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
In this study, we examined the early value of automated quantitative pupillary examination, using the Neurological Pupil index (NPi), to predict the long-term outcome of acute brain injured (ABI) patients. We performed a single-centre retrospective study (October 2016−March 2019) in ABI patients who underwent NPi measurement during the first 3 days following brain insult. We examined the performance of NPi—alone or in combination with other baseline demographic (age) and radiologic (CT midline shift) predictors—to prognosticate unfavourable 6-month outcome (Glasgow Outcome Scale 1−3). A total of 145 severely brain-injured subjects (65 traumatic brain injury, TBI; 80 non-TBI) were studied. At each time point tested, NPi <3 was highly predictive of unfavourable outcome, with highest specificity (100% (90−100)) at day 3 (sensitivity 24% (15−35), negative predictive value 36% (34−39)). The addition of NPi, from day 1 following ABI to age and cerebral CT scan, provided the best prognostic performance (AUROC curve 0.85 vs. 0.78 without NPi, p = 0.008; DeLong test) for 6-month neurological outcome prediction. NPi, assessed at the early post-injury phase, has a superior ability to predict unfavourable long-term neurological outcomes in severely brain-injured patients. The added prognostic value of NPi was most significant when complemented with baseline demographic and radiologic information.
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.