ArticleBrain communications2025
Automated pupillometry is a predictor of outcome of stroke patients: an observational, prospective, cohort study.
Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Integrating Brain Imaging Volumetrics and Quantitative Pupillometry for Predicting Neurologic Deterioration after Large Hemispheric Stroke.Neurocritical care · 2026Article
- Development of a Unified Cardiovascular-Pupillary Model for Interpreting Pupil Size Variability as an Autonomic Marker.Biomedical engineering and computational biology · 2026Article
- Dangerous Alarming Diameter Assessment (DADA Index) in Which the Ratio of Iris Surface/Pupil Surface Size Is More Reliable than Pupil Diameter Measurement in Comatose Patients After Subarachnoid Haemorrhage: An Experimental Rabbit Model.Diagnostics (Basel, Switzerland) · 2025Article
- Ultra-early neurological pupil index trajectories and clinical outcomes in acute brain injury.Frontiers in neurologyArticle
- Pupillometry: A loupe to mirror intracranial status during recovery after neurosurgery.Brain circulationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated pupillometry (AP) is a rapid, non-invasive tool to assess the pupillary light reflex, extensively used for monitoring patients with traumatic brain injury. In acute ischaemic stroke, quantitative tools to monitor neurological status and predict outcome are lacking. This study aims to evaluate the ability of AP to predict stroke outcome, defined through the modified Rankin Scale (mRS) scores. In this observational, cohort study, we enrolled adult patients with anterior circulation stroke admitted to the stroke unit of a comprehensive stroke centre between 2021 and 2024 who underwent AP evaluation within 72 h of stroke onset. Exclusion criteria were: intracranial hypertension, severe eye diseases, pathologies involving the autonomic nervous system and lack of 3-month follow-up data. The AP evaluation was repeated three consecutive times in each patient using the NPi-200® and mean parameters of the two eyes and those of the eye homolateral and contralateral to the ischaemic lesion were considered. Mann-Whitney
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.