Evidence map›Paper›PMID 29571863›Full record

ArticleJournal of the neurological sciences2018

The new Mobile Universal Lexicon Evaluation System (MULES): A test of rapid picture naming for concussion sized for the sidelines.

Omar Akhand, Matthew S Galetta, Lucy Cobbs, Lisena Hasanaj, Nikki Webb, Julia Drattell, Prin Amorapanth, John-Ross Rizzo, Rachel Nolan, Liliana Serrano and 6 more

Abstract read
In one paragraph

Article in Journal of the neurological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. 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

16 authors.

Omar AkhandDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: omar.akhand@nyumc.org.
Matthew S GalettaDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: matthew.galetta@nyumc.org.
Lucy CobbsDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: lucy.cobbs@nyumc.org.
Lisena HasanajDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: lisena.hasanaj@nyumc.org.
Nikki WebbDepartment of Emergency Medicine, New York University School of Medicine, New York, NY, USA. Electronic address: nikki.webb@nyu.edu.
Julia DrattellDepartment of Recreation and Athletics, New York University, New York, NY, USA. Electronic address: julia.drattell@nyumc.org.
Prin AmorapanthDepartment of Physical Medicine and Rehabilitation, New York University School of Medicine, New York, NY, USA. Electronic address: prin.amorapanth@nyumc.org.
John-Ross RizzoDepartment of Neurology, New York University School of Medicine, New York, NY, USA; Department of Physical Medicine and Rehabilitation, New York University School of Medicine, New York, NY, USA. Electronic address: johnross.rizzo@nyumc.org.
Rachel NolanDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: rachel.nolan@nyumc.org.
Liliana SerranoDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: liliana.serrano2@nyumc.org.
Janet C RuckerDepartment of Neurology, New York University School of Medicine, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: janet.rucker@nyumc.org.
Dennis CardoneDepartment of Emergency Medicine, New York University School of Medicine, New York, NY, USA. Electronic address: dennis.cardone@nyumc.org.
Barry D JordanBurke Rehabilitation Hospital, White Plains, NY, USA. Electronic address: bjordan@burke.org.
Arlene SilverioDepartment of Orthopaedics, Primary Care Sports Medicine, New York University School of Medicine, New York, NY, USA.
Steven L GalettaDepartment of Neurology, New York University School of Medicine, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: steven.galetta@nyumc.org.
Laura J BalcerDepartment of Neurology, New York University School of Medicine, New York, NY, USA; Department of Population Health, New York University School of Medicine, New York, NY, USA; Department of Ophthalmology, New York University School of Medicine, New York, NY, USA. Electronic address: laura.balcer@nyumc.org.

Funding

Rehabilitation Medicine Scientist Training (RMST) ProgramK12HD001097 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 1995 to 2016
$14.1M
NICHD NIH HHS K12 HD001097
6 · The paper itself

Abstract

objectiveMeasures of rapid automatized naming (RAN) have been used for over 50 years to capture vision-based aspects of cognition. The Mobile Universal Lexicon Evaluation System (MULES) is a test of rapid picture naming under investigation for detection of concussion and other neurological disorders. MULES was designed as a series of 54 grouped color photographs (fruits, random objects, animals) that integrates saccades, color perception and contextual object identification. Recent changes to the MULES test have been made to improve ease of use on the athletic sidelines. Originally an 11 × 17-inch single-sided paper, the test has been reduced to a laminated 8.5 × 11-inch double-sided version. We identified performance changes associated with transition to the new, MULES, now sized for the sidelines, and examined MULES on the sideline for sports-related concussion.

methodsWe administered the new laminated MULES to a group of adult office volunteers as well as youth and collegiate athletes during pre-season baseline testing. Athletes with concussion underwent sideline testing after injury. Time scores for the new laminated MULES were compared to those for the larger version (big MULES).

resultsAmong 501 athletes and office volunteers (age 16 ± 7 years, range 6-59, 29% female), average test times at baseline were 44.4 ± 14.4 s for the new laminated MULES (n = 196) and 46.5 ± 16.3 s for big MULES (n = 248). Both versions were completed by 57 participants, with excellent agreement (p < 0.001, linear regression, accounting for age). Age was a predictor of test times for both MULES versions, with longer times noted for younger participants (p < 0.001). Among 6 athletes with concussion thus far during the fall sports season (median age 15 years, range 11-21) all showed worsening of MULES scores from pre-season baseline (median 4.0 s, range 2.1-16.4).

conclusionThe MULES test has been converted to an 11 × 8.5-inch laminated version, with excellent agreement between versions across age groups. Feasibly administered at pre-season and in an office setting, the MULES test shows preliminary evidence of capacity to identify athletes with sports-related concussion.

Indexed as

NamesSemanticsAdolescentAdultAthletic InjuriesBrain ConcussionChildFemaleHumansMaleMiddle AgedMobile ApplicationsNeuropsychological TestsPhotic StimulationSaccadesYoung AdultConcussionMobile Universal Lexicon Evaluation System (MULES)Picture namingSaccadesSportsVision

Identifiers

PMID29571863
PMCPMC6022286

What OpenQuestion holds

Textmetadata
LicenceTDM
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.