Evidence map›Paper›PMID 33549753›Full record

SynthesisNeuroImage2021

Hearing loss impacts gray and white matter across the lifespan: Systematic review, meta-analysis and meta-regression.

Francis A M Manno, Raul Rodríguez-Cruces, Rachit Kumar, J Tilak Ratnanather, Condon Lau

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Establishing New Pediatric Thresholds for Digits-In-Noise Testing.Laryngoscope investigative otolaryngology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Executive Function Associations With Audibility-Adjusted Speech Perception in Noise.Journal of speech, language, and hearing research : JSLHR · 2024
    Article
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  11. Article
  12. Article
  13. Article
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  15. Article
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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 4 institutions in 3 countries.

Francis A M MannoDepartment of Physics, City University of Hong Kong, Hong Kong SAR, China. Electronic address: Francis.Manno@gmail.com.
Raul Rodríguez-CrucesMontreal Neurological Institute, McGill University, Montreal, Canada.
Rachit KumarPerelman School of Medicine, University of Pennsylvania, Philadelphia, USA; Medical Scientist Training Program at the University of Pennsylvania, Philadelphia, USA.
J Tilak RatnanatherCenter for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, USA.
Condon LauDepartment of Physics, City University of Hong Kong, Hong Kong SAR, China. Electronic address: condon.lau@cityu.edu.hk.
City University of Hong Kong · HKJohns Hopkins University · USMontreal Neurological Institute and Hospital · CAUniversity of Pennsylvania · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007170 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BRASS, LAWRENCE F · 1985 to 2022
$54.0M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
CRCNS US- German Res Prop: functional computational anatomy of the auditory cortex R01DC016784 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI RATNANATHER, JOHN TILAK · 2017 to 2019
$725k
NIBIB NIH HHS P41 EB015909NIDCD NIH HHS R01 DC016784NIGMS NIH HHS T32 GM007170
6 · The paper itself

Abstract

Hearing loss is a heterogeneous disorder thought to affect brain reorganization across the lifespan. Here, structural alterations of the brain due to hearing loss are assessed by using unique effect size metrics based on Cohen's d and Hedges' g. These metrics are used to map coordinates of gray matter (GM) and white matter (WM) alterations from bilateral congenital and acquired hearing loss populations. A systematic review and meta-analysis revealed m = 72 studies with structural alterations measured with magnetic resonance imaging (MRI) (bilateral = 64, unilateral = 8). The bilateral studies categorized hearing loss into congenital and acquired cases (n = 7,445) and control cases (n = 2,924), containing 66,545 datapoint metrics. Hearing loss was found to affect GM and underlying WM in nearly every region of the brain. In congenital hearing loss, GM decreased most in the frontal lobe. Similarly, acquired hearing loss had a decrease in frontal lobe GM, albeit the insula was most decreased. In congenital, WM underlying the frontal lobe GM was most decreased. In congenital, the right hemisphere was more negatively impacted than the left hemisphere; however, in acquired, this was the opposite. The WM alterations most frequently underlined GM alterations in congenital hearing loss, while acquired hearing loss studies did not frequently assess the WM metric. Future studies should use the endophenotype of hearing loss as a prognostic template for discerning clinical outcomes.

Indexed as

Age FactorsBrain MappingGray MatterHumansLongevityMagnetic Resonance ImagingRegression AnalysisWhite MatterBilateral hearing lossDTISensorineural hearing lossStructural MRIUnilateral hearing loss

Identifiers

PMID33549753
PMCPMC8236095
OpenAlexW3128343106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.