Evidence map›Paper›PMID 37641463›Full record

ArticleAnnals of clinical and translational neurology2023

Pupillary dynamics predict long-term outcome in a cohort of acute traumatic brain injury coma patients.

Elena Monai, Chiara Favaretto, Anna Salvalaggio, Lorenzo Pini, Marina Munari, Maurizio Corbetta

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 19% 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.

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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
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 at 2 institutions in 1 country.

Elena Monai *Clinica Neurologica, University Hospital of Padova, Padova, Italy.
Chiara Favaretto *Padova Neuroscience Center (PNC), University of Padova, Padova, Italy.
Anna SalvalaggioClinica Neurologica, University Hospital of Padova, Padova, Italy.
Lorenzo PiniPadova Neuroscience Center (PNC), University of Padova, Padova, Italy.
Marina MunariNeuro-Intensive Care Unit, University Hospital of Padova, Padova, Italy.
Maurizio CorbettaClinica Neurologica, University Hospital of Padova, Padova, Italy.
University of Padua · ITVeneto Institute of Molecular Medicine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExamining the size and reactivity of the pupils of traumatic brain injury coma patients is fundamental in the Neuro-intensive care unit (ICU). Pupil parameters on admission predict long-term clinical outcomes. However, little is known about the dynamics of pupillary parameters and their potential value for outcome prediction.

methodsThis study applied a time-course analysis of pupillary signals (size and photo-reactivity) in acute traumatic brain injury coma patients (n = 20) to predict outcome at 6 months.

resultsThe time course of pupillary signals was informative in discriminating favorable (F) versus unfavorable (U) outcomes, with the highest correlation within the 1st week notwithstanding pharmacological sedation. Patients with favorable outcome at 6 months showed more consistent in time isochoric and photo-reactive pupils. In contrast, patients with an unfavorable outcome showed more variable measures that tended to stabilize toward pathological values.

interpretationTime-dependent tracking of pupils' size and reactivity is a promising application for ICU monitoring and long-term prognosis. These findings support the usefulness of automatic tools for the dynamic, quantitative, and objective measurements of pupils.

Indexed as

Brain InjuriesBrain Injuries, TraumaticComaHumansPrognosisPupil

Identifiers

PMID37641463
PMCPMC10578890
OpenAlexW4386253324

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.