Evidence map›Paper›PMID 31158037›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2019

Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing.

Gerasimos Fergadiotis, William D Hula, Alexander M Swiderski, Chia-Ming Lei, Stacey Kellough

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.5field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Item Response Theory Modeling of the Verb Naming Test.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  6. Article
  7. ParAlg: A Paraphasia Algorithm for Multinomial Classification of Picture Naming Errors.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  8. Article
  9. 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

5 authors at 3 institutions in 1 country.

Gerasimos FergadiotisDepartment of Hearing & Speech Science, Portland State University, OR.
William D HulaGeriatric Research, Education and Clinical Center, VA Pittsburgh Healthcare System, PA.
Alexander M SwiderskiDepartment of Communication Science & Disorders, University of Pittsburgh, PA.
Chia-Ming LeiDepartment of Communication Science & Disorders, University of Pittsburgh, PA.
Stacey KelloughVA Pittsburgh Healthcare System, PA.
VA Pittsburgh Healthcare System · USPortland State University · USUniversity of Pittsburgh · US

Funding

Assessment of anomia: Improving efficiency and utility using item response theoryR03DC014556 · NIDCD · PORTLAND STATE UNIVERSITY · PI FERGADIOTIS, GERASIMOS · 2015 to 2017
$420k
NIDCD NIH HHS R03 DC014556
6 · The paper itself

Abstract

Purpose In this study, we investigated the agreement between the 175-item Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996 ) and a 30-item computer adaptive PNT (PNT-CAT; Fergadiotis, Kellough, & Hula, 2015 ; Hula, Kellough, & Fergadiotis, 2015 ) created using item response theory (IRT) methods. Method The full PNT and the PNT-CAT were administered to 47 participants with aphasia in counterbalanced order. Latent trait-naming ability estimates for the 2 PNT versions were analyzed in a Bayesian framework, and the agreement between them was evaluated using correlation and measures of constant, variable, and total error. We also evaluated the extent to which individual pairwise differences were credibly greater than 0 and whether the IRT measurement model provided an adequate indication of the precision of individual score estimates. Results The agreement between the PNT and the PNT-CAT was strong, as indicated by high correlation ( r = .95, 95% CI [.92, .97]), negligible bias, and low variable and total error. The number of statistically robust pairwise score differences did not credibly exceed the Type I error rate, and the precision of individual score estimates was reasonably well predicted by the IRT model. Discussion The strong agreement between the full PNT and the PNT-CAT suggests that the latter is a suitable measurement of anomia in group studies. The relatively robust estimates of score precision also suggest that the PNT-CAT can be useful for the clinical assessment of anomia in individual cases. Finally, the IRT methods used to construct the PNT-CAT provide a framework for additional development to further reduce measurement error. Supplemental Material https://doi.org/10.23641/asha.8202176.

Indexed as

AdultAgedAged, 80 and overAnomiaAphasiaBayes TheoremDiagnosis, Computer-AssistedFemaleHumansLanguage TestsMaleMiddle AgedReproducibility of Results

Identifiers

PMID31158037
PMCPMC6808378
OpenAlexW2948461466

What OpenQuestion holds

Textmetadata
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.