Evidence map›Paper›PMID 28769744›Full record

ArticleFrontiers in neuroscience2017

The Auditory Nerve Overlapped Waveform (ANOW) Detects Small Endolymphatic Manipulations That May Go Undetected by Conventional Measurements.

Jeffery T Lichtenhan, Choongheon Lee, Farah Dubaybo, Kaitlyn A Wenrich, Uzma S Wilson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 2 institutions in 1 country.

Jeffery T LichtenhanDepartment of Otolaryngology Washington University School of MedicineSaint Louis, MO, United States.
Choongheon LeeDepartment of Otolaryngology Washington University School of MedicineSaint Louis, MO, United States.
Farah DubayboDepartment of Otolaryngology Washington University School of MedicineSaint Louis, MO, United States.
Kaitlyn A WenrichDepartment of Otolaryngology Washington University School of MedicineSaint Louis, MO, United States.
Uzma S WilsonDepartment of Communication Sciences and Disorders, Northwestern UniversityEvanston, IL, United States.
Washington University in St. Louis · USNorthwestern University · US

Funding

ORIGINS OF PHYSIOLOGICAL MEASUREMENTS FROM THE EARR01DC014997 · NIDCD · WASHINGTON UNIVERSITY · PI LICHTENHAN, JEFFERY · 2016 to 2020
$1.6M
NIDCD NIH HHS R01 DC014997
6 · The paper itself

Abstract

Electrocochleography (ECochG) has been used to assess Ménière's disease, a pathology associated with endolymphatic hydrops and low-frequency sensorineural hearing loss. However, the current ECochG techniques are limited for use at high-frequencies only (≥1 kHz) and cannot be used to assess and understand the low-frequency sensorineural hearing loss in ears with Ménière's disease. In the current study, we use a relatively new ECochG technique to make measurements that originate from afferent auditory nerve fibers in the apical half of the cochlear spiral to assess effects of endolymphatic hydrops in guinea pig ears. These measurements are made from the Auditory Nerve Overlapped Waveform (ANOW). Hydrops was induced with artificial endolymph injections, iontophoretically applied Ca

Indexed as

auditory nerve neurophoniccochleacochlear responseelectrocochleographyendolymphatic hydropsendolymphatic spaceMénière's diseasescala media

Identifiers

PMID28769744
PMCPMC5513905
OpenAlexW2735996420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.