Evidence map›Paper›PMID 33656530›Full record

ArticleJAMA network open2021

Classification of Comprehensive Neuro-Ophthalmologic Measures of Postacute Concussion.

Christina N Feller, May Goldenberg, Patrick D Asselin, Kian Merchant-Borna, Beau Abar, Courtney Marie Cora Jones, Rebekah Mannix, Keisuke Kawata, Jeffrey J Bazarian

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Error in Byline.JAMA network open · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Christina N FellerUniversity of Rochester School of Medicine and Dentistry, Rochester, New York.
May GoldenbergUniversity of Rochester, Rochester, New York.
Patrick D AsselinUniversity of Rochester School of Medicine and Dentistry, Rochester, New York.
Kian Merchant-BornaDepartment of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York.
Beau AbarDepartment of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York.
Courtney Marie Cora JonesDepartment of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York.
Rebekah MannixDepartment of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Keisuke KawataDepartment of Kinesiology, Indiana University, Bloomington.
Jeffrey J BazarianDepartment of Emergency Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York.
University of Rochester · USBoston Children's Hospital · USIndiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Symptom-based methods of concussion diagnosis in contact sports result in underdiagnosis and repeated head injury exposure, increasing the risk of long-term disability. Measures of neuro-ophthalmologic (NO) function have the potential to serve as objective aids, but their diagnostic utility is unknown. Objective: To identify NO measures that accurately differentiate athletes with and without concussion. Design, Setting, and Participants: This cohort study was conducted among athletes with and without concussion who were aged 17 to 22 years between 2016 and 2017. Eye movements and cognitive function were measured a median of 19 days after injury among patients who had an injury meeting the study definition of concussion while playing a sport (retrospectively selected from a concussion clinic), then compared with a control group of participants without concussion (enrolled from 104 noncontact collegiate athlete volunteers without prior head injury). Data analysis was conducted from November 2019 through May 2020. Exposure: Concussion. Main Outcomes and Measures: Classification accuracy of clinically important discriminator eye-tracking (ET) metrics. Participants' eye movements were evaluated with a 12-minute ET procedure, yielding 42 metrics related to smooth pursuit eye movement (SPEM), saccades, dynamic visual acuity, and reaction time. Clinically important discriminator metrics were defined as those with significantly different group differences and area under the receiver operator characteristic curves (AUROCs) of at least 0.70. Results: A total of 34 participants with concussions (mean [SD] age, 19.7 [2.4] years; 20 [63%] men) and 54 participants without concussions (mean [SD] age, 20.8 [2.2] years; 31 [57%] men) completed the study. Six ET metrics (ie, simple reaction time, discriminate reaction time, discriminate visual reaction speed, choice visual reaction speed, and reaction time on 2 measures of dynamic visual acuity 2) were found to be clinically important; all were measures of reaction time, and none were related to SPEM. Combined, these 6 metrics had an AUROC of 0.90 (95% CI, 0.80-0.99), a sensitivity of 77.8%, and a specificity of 92.6%. The 6 metrics remained significant on sensitivity testing. Conclusions and Relevance: In this study, ET measures of slowed visual reaction time had high classification accuracy for concussion. Accurate, objective measures of NO function have the potential to improve concussion recognition and reduce the disability associated with underdiagnosis.

Indexed as

CognitionEye MovementsAdolescentAthletic InjuriesBrain ConcussionCohort StudiesFemaleHumansMaleReaction TimeYoung Adult

Identifiers

PMID33656530
PMCPMC7930925
OpenAlexW3134493333

What OpenQuestion holds

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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.