Evidence map›Paper›PMID 31959053›Full record

ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2020

Otitis Media Middle Ear Effusion Identification and Characterization Using an Optical Coherence Tomography Otoscope.

Diego Preciado, Ryan M Nolan, Radhika Joshi, Gina M Krakovsky, Anqi Zhang, Nickolas A Pudik, Nankee K Kumar, Ryan L Shelton, Stephen A Boppart, Nancy M Bauman

Abstract read
In one paragraph

Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. In Vivo Optical Characterization of Middle Ear Effusions and Biofilms During Otitis Media.Journal of the Association for Research in Otolaryngology : JARO · 2023
    Observational
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Optical Identification of Middle Ear Infection.Molecules (Basel, Switzerland) · 2020
    Review
  19. Review
  20. 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

10 authors.

Diego PreciadoDivision of Pediatric Otolaryngology, Children's National Health System (CNHS), Washington, DC, USA.
Ryan M NolanPhotoniCare, Champaign, Illinois, USA.
Radhika JoshiDivision of Pediatric Otolaryngology, Children's National Health System (CNHS), Washington, DC, USA.
Gina M KrakovskyDivision of Pediatric Otolaryngology, Children's National Health System (CNHS), Washington, DC, USA.
Anqi ZhangPhotoniCare, Champaign, Illinois, USA.
Nickolas A PudikPhotoniCare, Champaign, Illinois, USA.
Nankee K KumarSheikh Zayed Institute, CNHS, Washington, DC, USA.
Ryan L SheltonPhotoniCare, Champaign, Illinois, USA.
Stephen A BoppartPhotoniCare, Champaign, Illinois, USA.
Nancy M BaumanDivision of Pediatric Otolaryngology, Children's National Health System (CNHS), Washington, DC, USA.

Funding

Partnership for Primary Care Imaging of the EarR01EB013723 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A · 2011 to 2018
$6.4M
Quantitative Optical Assessment of Middle Ear DiseaseR44DC014599 · NIDCD · PHOTONICARE, INC. · PI SHELTON, RYAN L · 2015 to 2019
$3.8M
NIBIB NIH HHS R01 EB013723NIDCD NIH HHS R44 DC014599
6 · The paper itself

Abstract

objectiveTo determine the feasibility of detecting and differentiating middle ear effusions (MEEs) using an optical coherence tomography (OCT) otoscope. STUDY

designCross-sectional study.

settingUS tertiary care children's hospital. SUBJECTS AND

methodsSeventy pediatric patients undergoing tympanostomy tube placement were preoperatively imaged using an OCT otoscope. A blinded reader quiz was conducted using 24 readers from 4 groups of tiered medical expertise. The primary outcome assessed was reader ability to detect presence/absence of MEE. A secondary outcome assessed was reader ability to differentiate serous vs nonserous MEE.

resultsOCT image data sets were analyzed from 45 of 70 total subjects. Blinded reader analysis of an OCT data subset for detection of MEE resulted in 90.6% accuracy, 90.9% sensitivity, 90.2% specificity, and intra/interreader agreement of 92.9% and 87.1%, respectively. Differentiating MEE type, reader identification of nonserous MEE had 70.8% accuracy, 53.6% sensitivity, 80.1% specificity, and intra/interreader agreement of 82.9% and 75.1%, respectively. Multivariate analysis revealed that age was the strongest predictor of OCT quality. The mean age of subjects with quality OCT was 5.01 years (n = 45), compared to 2.54 years (n = 25) in the remaining subjects imaged (

conclusionOCT otoscopy shows promise for facilitating accurate MEE detection. The imageability with the prototype device was affected by age, with older children being easier to image, similar to current ear diagnostic technologies.

Indexed as

OtoscopesAdolescentChildChild, PreschoolCross-Sectional StudiesDiagnosis, DifferentialEquipment DesignFeasibility StudiesFemaleHumansInfantMaleMiddle Ear VentilationOtitis Media with EffusionPreoperative CareSensitivity and Specificityacute otitis mediaimagingmiddle ear effusionoptical coherence tomographyotitis mediaotitis media with effusionotoscopypediatric

Identifiers

PMID31959053
PMCPMC7289273

What OpenQuestion holds

Textmetadata
LicenceTDM
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.