Evidence map›Paper›PMID 33997624›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2021

A Digital Filter-Based Method for Diagnosing Speech Comprehension Deficits.

Gisele V H Koury, Francisca C R da S Araújo, Kauê M Costa, Manoel da Silva Filho

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 2 countries.

Gisele V H KouryInstitute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil.
Francisca C R da S AraújoInstitute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil.
Kauê M CostaNational Institute on Drug Abuse Intramural Research Program, National Institutes of Health, Baltimore, MD.
Manoel da Silva FilhoInstitute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil.
Universidade Federal do Pará · BRNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo improve the diagnostic efficiency of current tests for auditory processing disorders (APDs) by creating new test signals using digital filtering methods.

methodsWe conducted a prospective study from August 1, 2014, to August 31, 2019, using 3 low speech redundancy tests with novel test signals that we created with specially designed digital filters: the binaural resynthesis test and the low pass and high pass filtered speech tests. We validated and optimized these new tests, then applied them to healthy individuals across different age groups to examine how age affected performance and to children with APD before and after acoustically controlled auditory training (ACAT) to assess clinical improvement after treatment.

resultsWe found a progressive increase in performance accuracy with less restrictive filters (

conclusionWe introduce a method that substantially improves current diagnostic tools for APD. In addition, we provide information on auditory processing maturation in normal development and validate that our method can detect APD-related deficits and ACAT-induced improvements in auditory processing.

Indexed as

ACAT, acoustically controlled auditory trainingAC, auditory closureAPD, auditory processing disorderBR, binaural resynthesisBRT, binaural resynthesis testFST, filtered speech testHPFST, high pass filtered speech testHP, high passL1, list 1L2, list 2LPFST, low pass filtered speech testLP, low pass

Identifiers

PMID33997624
PMCPMC8105531
OpenAlexW3120953764

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.