Evidence map›Paper›PMID 33180103›Full record

SynthesisJAMA ophthalmology2021

Diagnostic Test Accuracy of the Red Reflex Test for Ocular Pathology in Infants: A Meta-analysis.

Yousif Subhi, Diana Chabané Schmidt, Moug Al-Bakri, Daniella Bach-Holm, Line Kessel

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Newborn screening for hearing and sight, Cameroon.Bulletin of the World Health Organization · 2025
    Article
  8. Robot Characters for Innovative Medical Eye Exams in Kids.DIS. Designing Interactive Systems (Conference) · 2025
    Article
  9. Article
  10. Article
  11. Retinoblastoma: Review and new insights.Frontiers in oncology · 2022
    Review
  12. The Red Reflex Test - Shadow conceals, light reveals.Indian journal of ophthalmology · 2021
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yousif SubhiDepartment of Ophthalmology, Rigshospitalet-Glostrup, Glostrup, Denmark.
Diana Chabané SchmidtDepartment of Ophthalmology, Rigshospitalet-Glostrup, Glostrup, Denmark.
Moug Al-BakriDepartment of Ophthalmology, Rigshospitalet-Glostrup, Glostrup, Denmark.
Daniella Bach-HolmDepartment of Ophthalmology, Rigshospitalet-Glostrup, Glostrup, Denmark.
Line KesselDepartment of Ophthalmology, Rigshospitalet-Glostrup, Glostrup, Denmark.
Glostrup Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Red reflex testing is a simple and inexpensive method implemented in many countries as an important part of infant screening for ocular pathologies. Objectives: To review the literature on the diagnostic accuracy of the red reflex test in infant screening for ocular pathologies and to perform meta-analyses to provide summary estimates. Data Sources: The following literature databases were searched for English-language, peer-reviewed literature, published until April 19, 2020: Cochrane Central, PubMed/MEDLINE, Embase, Web of Science Core Collection, BIOSIS Previews, Current Contents Connect, Data Citation Index, Derwent Innovations Index, KCI-Korean Journal Database, Russian Science Citation Index, SciELO Citation Index, CINAHL (Cumulative Index to Nursing and Allied Health Literature), and ClinicalTrials.gov. Study Selection: Eligibility criteria were defined according to population (studies of consecutively screened infants), exposure (red reflex or Brückner test as the index test), comparator (any ophthalmological examination), and study type (any study with diagnostic test accuracy data). Data Extraction and Synthesis: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines were followed. Data were extracted independently by 2 authors. For summary estimates of diagnostic test accuracy, the hierarchical summary receiver operating characteristics curve was used. Prevalence of ocular pathologies was introduced for a prevalence meta-analysis, which was then used in calculations of diagnostic accuracy of the red reflex test when applied in infant screening. Main Outcomes and Measures: True-positive, false-positive, true-negative, and false-negative findings; sensitivity; specificity; and positive and negative predictive values. Results: In this meta-analysis, 8713 unique infants from 5 unique studies were eligible for qualitative and quantitative review. All studies used the red reflex test without pupillary dilation and were compared with a reference test performed with pupillary dilation. For any ocular pathology, an estimated sensitivity of 7.5% (95% CI, 7.4%-7.5%) and specificity of 97.5% (95% CI, 97.5%-97.5%) was found. Focusing on ocular pathologies that required a medical or surgical intervention, sensitivity improved to 17.5% (95% CI, 0.8%-84.8%) and specificity remained high at 97.6% (95% CI, 87.7%-99.6%). Conclusions and Relevance: These findings suggest that an abnormal red reflex finding most likely reflects an underlying ocular pathology. However, a normal red reflex finding during screening does not exclude ocular disease.

Indexed as

Neonatal ScreeningOphthalmoscopyRefraction, OcularVision, OcularVision ScreeningHumansInfantInfant, NewbornOphthalmoscopesPredictive Value of TestsRefractive ErrorsReproducibility of Results

Identifiers

PMID33180103
PMCPMC7662495
OpenAlexW3103766056

What OpenQuestion holds

Textmetadata
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.