Evidence map›Paper›PMID 41601754›Full record

ArticleFrontiers in medicine2025

Comparison of automated ultrasound pupillometry assessment vs. infrared pupillary in critically ill patients.

Weiting Chen, Xiaoshuang Jiang, Xixi Guo, Jiuzhou Lin, Nanlin Dou, Min Tang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Weiting Chen *Department of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, Zhejiang, China.
Xiaoshuang Jiang *Department of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, Zhejiang, China.
Xixi GuoDepartment of Traditional Chinese Medicine, The First People's Hospital of Linhai, Taizhou, Zhejiang, China.
Jiuzhou LinDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, Zhejiang, China.
Nanlin DouDepartment of Intensive Care Medicine, Lishui Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Lishui, Zhejiang, China.
Min TangDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pupillary light reflex (PLR) is a critical indicator of brainstem function in neurocritical care, but traditional assessments are often subjective, inconsistent, and prone to inter-examiner variability. Automated infrared pupillometry (IPA) provides objective metrics and is increasingly used in clinical practice, yet its accuracy may be compromised by eyelid swelling or ocular trauma. Automated ultrasound pupillometry (Auto-UPA) offers a non-invasive, transpalpebral alternative that can overcome these limitations. This study aimed to evaluate the agreement and reliability of Auto-UPA compared with IPA in ICU patients. Methods: In this prospective observational study, consecutive adult ICU patients (February 1 to September 25, 2025) underwent paired Auto-UPA and IPA assessments under standardized conditions. PLR metrics included initial (INIT) and end (END) pupil diameters, latency (LAT), constriction ratio (DELTA), average constriction velocity (ACV), and average dilation velocity (ADV). Agreement was assessed using linear regression, Bland-Altman plots, and limits of agreement (LoA). Reliability was evaluated using intraclass correlation coefficients (ICC) for intra- and inter-observer variability. Results: Twenty patients (40 eyes) were enrolled. High agreement was observed for pupil diameters and most dynamic indices (INIT: Conclusions: Auto-UPA shows strong agreement with IPA in most PLR metrics and provides robust reliability, supporting its role as a feasible and practical alternative in settings where IPA is unavailable or impractical.

Indexed as

infrared pupillometryneurocritical carepupillary light reflexultrasoundultrasound pupillometry

Identifiers

PMID41601754
PMCPMC12832743

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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.