Evidence map›Paper›PMID 31546480›Full record

ArticleIndian journal of ophthalmology2019

Smartphone photography for screening amblyogenic conditions in children.

Richa Gupta, Siddharth Agrawal, Rajat M Srivastava, Vinita Singh, Vishal Katiyar

Abstract read
In one paragraph

Article in Indian journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Article
  5. Article
  6. Article
  7. Article
  8. Clinically useful smartphone ophthalmic imaging techniques.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Review
  9. 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.

Richa GuptaDepartment of Ophthalmology, King Georges' Medical University, Lucknow, Uttar Pradesh, India.
Siddharth AgrawalDepartment of Ophthalmology, King Georges' Medical University, Lucknow, Uttar Pradesh, India.
Rajat M SrivastavaDepartment of Ophthalmology, King Georges' Medical University, Lucknow, Uttar Pradesh, India.
Vinita SinghDepartment of Ophthalmology, King Georges' Medical University, Lucknow, Uttar Pradesh, India.
Vishal KatiyarDepartment of Ophthalmology, King Georges' Medical University, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To validate the smartphone photography as a screening tool for amblyogenic conditions in children. Methods: Children between 5 to 8 years attending eye out patient department (OPD) were photographed (by an optometrist) with a smartphone to capture their pupillary red reflexes followed by clinical examination by the principal investigator (PI). The PI on the basis of clinical examination identified children with significant amblyogenic conditions and, subsequently, two ophthalmologists independently categorized the photographs on the basis of color, symmetry, and shape of the pupillary reflex into normal or abnormal. The identification of amblyogenic conditions on clinical examination was compared to that on photography. Refractive errors <3D and anisometropia <2D were excluded. Sensitivity, specificity, positive predictive value, and negative predictive value of smartphone photography screening were determined. Results: In all, 250 children were screened. Clinically 23.6% were harboring amblyogenic conditions. The mean sensitivity and specificity of screening by smartphone were 94% and 91%, respectively. Conclusion: Smartphone photography is a reliable tool for detection of amblyogenic conditions in children.

Indexed as

AmblyopiaChildChild, PreschoolCross-Sectional StudiesFalse Positive ReactionsFemaleHumansMalePhotographyPredictive Value of TestsProspective StudiesReproducibility of ResultsSensitivity and SpecificitySmartphoneVision ScreeningAmblyopiasmartphone photographyvision screening

Identifiers

PMID31546480
PMCPMC6786217

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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.