Evidence map›Paper›PMID 27856005›Full record

Trial reportJournal of the neurological sciences2017

Mobile Universal Lexicon Evaluation System (MULES) test: A new measure of rapid picture naming for concussion.

Lucy Cobbs, Lisena Hasanaj, Prin Amorapanth, John-Ross Rizzo, Rachel Nolan, Liliana Serrano, Jenelle Raynowska, Janet C Rucker, Barry D Jordan, Steven L Galetta and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the neurological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. The MINT Sprint 2.0: a Picture Naming Test for Detection of Naming Impairments in ΜCI Due or Not to AD, Greek Version.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Neuro-Ophthalmology at the Bedside: A Clinical Guide.Journal of neurosciences in rural practice
    Article
  16. 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

11 authors.

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.
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 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.
Jenelle RaynowskaDepartment of Neurology, New York University School of Medicine, New York, NY, USA. Electronic address: jenelle.raynowska@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.
Barry D JordanBurke Rehabilitation Hospital, White Plains, NY, USA. Electronic address: bjordan@burke.org.
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

Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Rehabilitation Medicine Scientist Training (RMST) ProgramK12HD001097 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 1995 to 2016
$14.1M
Strategies for recovery of dexterity post strokeR01HD071978 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAGHAVAN, PREETI · 2013 to 2017
$3.4M
NCATS NIH HHS UL1 TR001073NICHD NIH HHS K12 HD001097NICHD NIH HHS R01 HD071978
6 · The paper itself

Abstract

objectiveThis study introduces a rapid picture naming test, the Mobile Universal Lexicon Evaluation System (MULES), as a novel, vision-based performance measure for concussion screening. The MULES is a visual-verbal task that includes 54 original photographs of fruits, objects and animals. We piloted MULES in a cohort of volunteers to determine feasibility, ranges of picture naming responses, and the relation of MULES time scores to those of King-Devick (K-D), a rapid number naming test.

methodsA convenience sample (n=20, age 34±10) underwent MULES and K-D (spiral bound, iPad versions). Administration order was randomized; MULES tests were audio-recorded to provide objective data on temporal variability and ranges of picture naming responses.

resultsScores for the best of two trials for all tests were 40-50s; average times required to name each MULES picture (0.72±0.14s) was greater than those needed for each K-D number ((spiral: 0.33±0.05s, iPad: 0.36±0.06s, 120 numbers), p<0.0001, paired t-test). MULES scores showed the greatest degree of improvement between trials (9.4±4.8s, p<0.0001 for trials 1 vs. 2), compared to K-D (spiral 1.5±3.3s, iPad 1.8±3.4s). Shorter MULES times demonstrated moderate and significant correlations with shorter iPad but not spiral K-D times (r=0.49, p=0.03).

conclusionThe MULES test is a rapid picture naming task that may engage more extensive neural systems than more commonly used rapid number naming tasks. Rapid picture naming may require additional processing devoted to color perception, object identification, and categorization. Both tests rely on initiation and sequencing of saccadic eye movements.

Indexed as

NamesSemanticsAdultBrain ConcussionCohort StudiesEye MovementsFemaleHumansMaleMiddle AgedNeuropsychological TestsPhotic StimulationReaction TimeConcussionKing-Devick testMobile Universal Lexicon Evaluation SystemSaccadesSportsVision

Identifiers

PMID27856005
PMCPMC5480375

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.