Evidence map›Paper›PMID 33872514›Full record

ArticleAmerican journal of speech-language pathology2021

A Cognitive Psychometric Investigation of Word Production and Phonological Error Rates in Logopenic Progressive Aphasia.

Diana Petroi, Grant M Walker, Joseph R Duffy, Gregory S Hickok, Keith A Josephs

Open access · greenAbstract read
In one paragraph

Article in American journal of speech-language pathology, 2021. 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
0.1field-weighted citation impact, top 60% 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, 1 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Diana PetroiDepartment of Neurology, Mayo Clinic, Rochester, MN.
Grant M WalkerDepartment of Cognitive Sciences, University of California, Irvine, CA.
Joseph R DuffyDepartment of Neurology, Mayo Clinic, Rochester, MN.
Gregory S HickokDepartment of Cognitive Sciences, University of California, Irvine, CA.
Keith A JosephsDepartment of Neurology, Mayo Clinic, Rochester, MN.
Google (United States) · US

Funding

Telerehab for Aphasia (TERRA)P50DC014664 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI FRIDRIKSSON, JULIUS · 2016 to 2025
$25.0M
PIB PET Scanning in Speech and Language Based DementiasR01DC010367 · NIDCD · MAYO CLINIC ROCHESTER · PI JOSEPHS, KEITH A · 2010 to 2014
$1.7M
NIDCD NIH HHS P50 DC014664NIDCD NIH HHS R01 DC010367
6 · The paper itself

Abstract

Purpose This study investigated the relationship between word production rates (WPRs) and phonological error rates (PERs) in generative and responsive tasks in logopenic progressive aphasia (lvPPA). We examined whether a portion of the reduced WPR during generative tasks related directly to phonological impairments affecting PER on all tasks, irrespective of other task differences that contributed to WPR. Method Two cognitive psychometric models were hypothesized and fit to the total number of words produced and the number of phonological errors produced by 22 participants on 10 tasks. Bayesian inference was used to construct posterior distributions of participant ability and task difficulty parameters. Model fit statistics were compared. Association strengths for average generative WPR and average responsive PER were also evaluated with linear least-squares regression. Results Average generative WPR and average responsive PER were significantly associated (

Indexed as

AphasiaAphasia, Primary ProgressiveBayes TheoremCognitionHumansPsychometrics

Identifiers

PMID33872514
PMCPMC8702835
OpenAlexW3153306117

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.