Evidence map›Paper›PMID 35901103›Full record

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.

Benjamin Nyholm, Laust Obling, Christian Hassager, Johannes Grand, Jacob Møller, Marwan Othman, Daniel Kondziella, Jesper Kjaergaard

Registry-linked trialOpen access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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.

NCT05717244 completednot on this mapstarted 2023, after this paper: background citation

Comparison of Two Pupillometer for Determining Pupil Diameter in Healthy Participants

TypeobservationalSponsorHe Eye HospitalRan2023 to 2024Enrolled100ConditionsMeasurement of Pupil DiameterArms2WIN-S, OPD
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  4. Observational
  5. Article
  6. Observational
  7. Machine Learning Approaches to Prognostication in Traumatic Brain Injury.Current neurology and neuroscience reports · 2025
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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

8 authors at 2 institutions in 1 country.

Benjamin NyholmDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0002-3905-4909
Laust OblingDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Christian HassagerDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Johannes GrandDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0002-5511-4668
Jacob MøllerDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Marwan OthmanDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Daniel KondziellaDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Jesper KjaergaardDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ComaCritical IllnessAgedAged, 80 and overHumansMiddle AgedProspective StudiesPupilReproducibility of Results

Identifiers

PMID35901103
PMCPMC9333219
OpenAlexW4288443339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.