Evidence map›Paper›PMID 27307698›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2016

Validation of sensor for postoperative positioning with intraocular gas.

Frank L Brodie, Kelly Y Woo, Ashwin Balakrishna, Hyuck Choo, Robert H Grubbs

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
  2. Tracking postoperative head positioning in endothelial keratoplasty using a head positioning sensor.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020
    Article
  3. Assessment of Postural Compliance After Pneumatic Retinopexy.Translational vision science & technology · 2019
    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.

Frank L BrodieDepartment of Ophthalmology, University of California San Francisco, San Francisco, USA.
Kelly Y WooDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Ashwin BalakrishnaDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Hyuck ChooDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.
Robert H GrubbsDepartment of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurgical repair of retinal attachment or macular hole frequently requires intraocular gas. This necessitates specific postoperative positioning to improve outcomes and avoid complications. However, patients struggle with correct positioning. We have developed a novel sensor to detect the position of the gas bubble in the eye and provide feedback to patients in real time. In this paper, we determine the specificity and sensitivity of our sensor in vitro using a model eye.

methodsWe assessed the reliability of our sensor to detect when a gas bubble has deviated off a model retinal break in a model eye. Various bubble sizes representing the intraocular kinetics of sulfur hexafluoride gas and varying degrees of deviation from the correct position were tested using the sensor attached to a mannequin head with a model eye.

resultsWe recorded 36 data points. The sensor acted appropriately in 33 (91.7%) of them. The sensor triggered the alarm every time the bubble deviated off the break (n=15, sensitivity =100%). However, it triggered the alarm (falsely) 3/21 times when the bubble was correctly positioned over the retinal break (specificity =86%).

conclusionOur device shows excellent sensitivity (100%) and specificity (86%) in detecting whether intraocular gas is tamponading a retinal break in a model eye.

Indexed as

intraocular gasmacular holepneumatic retinopexypostoperative positioningretinal detachmentvitrectomy

Identifiers

PMID27307698
PMCPMC4888728

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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.