Evidence map›Paper›PMID 39633596›Full record

Observational studyThe Journal of international medical research2024

Automated ultrasonographic pupillary assessment: a new neuro-ophthalmological assessment tool.

Weiting Chen, Min Tang, Yaling Jin, Lihui Chen, Jiuzhou Lin, Xuelin Yang

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The Journal of international medical research, 2024. 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 ChenDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, China.ORCID 0000-0001-5993-0737
Min TangDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, China.
Yaling JinDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, China.
Lihui ChenDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, China.
Jiuzhou LinDepartment of Emergency Medicine, The First People's Hospital of Linhai, Taizhou, China.
Xuelin YangDepartment of Emergency Medicine, Lishui Central Hospital, Lishui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate correlations between ultrasonographic pupillary assessment (UPA) and automated UPA in neurocritical patients.

methodsThis was a prospective, observational study of 20 adult patients admitted to the intensive care unit with neurological pathology. Between UPA and automated UPA, 40 pupillary measurements were made. The time required to conduct UPA and automated UPA on a single patient was consistently < 3 minutes. Automated UPA required a markedly shorter operational time than UPA.

resultsThere were strong positive associations between UPA and automated UPA measurements, with the following correlations: right eye at rest,

conclusionsAutomated UPA was strongly correlated with UPA in neurocritical patients. Automated UPA is a rapid, feasible, and noninvasive method that enables the precise evaluation of pupillary size and light response.

Indexed as

PupilUltrasonographyAdultAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesReflex, Pupillaryautomated ultrasonographic pupillary assessment.auto pupillary assessmentOcular ultrasonographyocular ultrasoundpupillary assessmentpupillometry

Identifiers

PMID39633596
PMCPMC11618917

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Registered trials

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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.