Evidence map›Paper›PMID 38515639›Full record

ArticleOtology & neurotology open2023

Outcomes of Cochlear Implantation in Age Subgroups of Veterans Over 50 Years Old.

Gabrielle T Petito, Siddhant H Tripathi, Reena Dhanda Patil

Open access · diamondAbstract read
In one paragraph

Article in Otology & neurotology open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. How does Frailty Impact Peri-Operative and Speech Recognition Outcomes for Cochlear Implants in Veterans?Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    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

3 authors at 2 institutions in 1 country.

Gabrielle T PetitoDepartment of Otolaryngology, University of Cincinnati College of Medicine, Cincinnati, OH.
Siddhant H TripathiDepartment of Otolaryngology, University of Cincinnati College of Medicine, Cincinnati, OH.
Reena Dhanda PatilDepartment of Otolaryngology, University of Cincinnati College of Medicine, Cincinnati, OH.
University of Cincinnati Medical Center · USSabin Vaccine Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to determine whether there was a difference in postoperative Arizona Biomedical (AzBio) speech recognition scores in 2 differently aged subgroups of veterans 50 years and older after cochlear implantation (CI). Study Design: Retrospective chart review. Setting: Tertiary referral center. Patients: Seventy-one patients aged 50 to 74 years (younger cohort) were compared with 56 patients aged 75 years and older (older cohort) at the time of CI. Interventions: Patients underwent therapeutic CI. Main Outcome Measures: Comparison of AzBio speech recognition test scores in a quiet environment between the 2 differently aged cohorts of veterans 50 years and older. Results: Despite no significant differences in preoperative AzBio score between the younger (mean 22.2%) and older cohorts (mean, 17.3%; Conclusions: All patients aged >50 years experienced significant improvement in speech recognition scores following CI, although the cohort of ages 50 to 74 years scored significantly higher in later follow-up visits. These findings suggest that CI should be offered to appropriate candidates, regardless of age, although earlier intervention may be more advantageous.

Indexed as

Cochlear implantsElderlyOutcomesPerformanceVeterans

Identifiers

PMID38515639
PMCPMC10950163
OpenAlexW4386647703

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.