ReviewFrontiers in genetics2020
Genotype-Phenotype Correlation for Predicting Cochlear Implant Outcome: Current Challenges and Opportunities.
Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Genetic Findings in Seven Cochlear Implanted Patients with Severe-to-Profound Hearing Loss.Genes · 2026Article
- Exploring the Proteomic Landscape of Cochlear Implant Trauma: An iTRAQ-Based Quantitative Analysis Utilizing an Ex Vivo Model.Journal of clinical medicine · 2025Article
- Determinants of Success in Revision Cochlear Implant Surgeries: A Comprehensive Evaluation of Patient, Surgical, and Radiological Factors.Diagnostics (Basel, Switzerland) · 2025Article
- Novel compound heterozygous mutations in the LARS2 gene in a Chinese family with hearing loss.Neurogenetics · 2025Article
- The multifaceted links between hearing loss and chronic kidney disease.Nature reviews. Nephrology · 2024Review
- Understanding the impact of modiolus porosity on stimulation of spiral ganglion neurons by cochlear implants.Scientific reports · 2024Article
- Navigating the Usher Syndrome Genetic Landscape: An Evaluation of the Associations between Specific Genes and Quality Categories of Cochlear Implant Outcomes.Audiology research · 2024Review
- Current phenotypic and genetic spectrum of syndromic deafness in Tunisia: paving the way for precision auditory health.Frontiers in genetics · 2024Article
- Autosomal Dominant Non-Syndromic Hearing Loss (DFNA): A Comprehensive Narrative Review.Biomedicines · 2023Review
- Cochlear Health and Cochlear-implant Function.Journal of the Association for Research in Otolaryngology : JARO · 2023Review
- The Effects of Cortical Reorganization and Applications of Functional Near-Infrared Spectroscopy in Deaf People and Cochlear Implant Users.Brain sciences · 2022Review
- Cochlear Implantation Outcomes in Patients with Auditory Neuropathy Spectrum Disorder of Genetic and Non-Genetic Etiologies: A Multicenter Study.Biomedicines · 2022Article
- Genetic hearing loss: the audiologist's perspective.Human genetics · 2022Article
- New insights into Perrault syndrome, a clinically and genetically heterogeneous disorder.Human genetics · 2022Review
- Usher Syndrome.Audiology research · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use and utility of cochlear implantation has rapidly increased in recent years as technological advances in the field have expanded both the efficacy and eligible patient population for implantation. This review aims to serve as a general overview of the most common hearing disorders that have favorable auditory outcomes with cochlear implants (CI). Hearing loss in children caused by congenital cytomegalovirus infection, syndromic conditions including Pendred Syndrome, and non-syndromic genetic conditions such as hearing impairment associated with
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Registered trials
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.