Evidence map›Paper›PMID 36035242›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2022

Accuracy of Remote Diagnosis of Acute Posterior Segment Pathology by Residents and Attendings Captured with a Smartphone and Standard 20/28D Lens.

Amro Omari, Momin Samad, Saaquib R Bakhsh, Jahan Tajran, George A Williams

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Amro OmariBeaumont Eye Institute, Royal Oak, MI, USA.
Momin SamadMichigan State College of Human Medicine, Grand Rapids, MI, USA.
Saaquib R BakhshBeaumont Eye Institute, Royal Oak, MI, USA.ORCID 0000-0002-5628-276X
Jahan TajranWayne State University School of Medicine, Detroit, MI, USA.
George A WilliamsBeaumont Eye Institute, Royal Oak, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: To assess the use of a smartphone-based fundus camera in diagnosing acute posterior segment disease in the emergency room (ER) of an academic center, where standard fundus cameras are currently unavailable. Study Design/Patients and Methods: Images were obtained on 10 eyes with various types of posterior segment pathology. These were analyzed retrospectively by 35 reviewers (21 residents and 14 attending physicians). Accuracy of diagnosis was compared to in-office fundus photography. Results: The average probability of correct diagnosis was over 78%. There was no difference between resident and attending reviewers, except for one of the vitreous hemorrhage cases where residents performed better (p=0.039). Conclusion: Smartphone-based cameras are effective in screening for ocular diseases in the ER of academic centers, where residents and fellows are often the first providers to see various types of vision and life-threatening pathology.

Indexed as

emergency roomfundus cameraposterior segmentretinasmartphone

Identifiers

PMID36035242
PMCPMC9416298

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Registered trials

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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.