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Global Validation of the Postnatal Growth and Retinopathy of Prematurity Screening Model: A Systematic Review and

Sheng-Chu Chi1, Hsin-Ho Chang2, Tai-Chi Lin1

  • 1Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan (R.O.C.).

Ophthalmology. Retina
|February 1, 2026
PubMed

Insights

The G-ROP criteria show high sensitivity for screening retinopathy of prematurity (ROP), especially for severe ROP. However, its low specificity may limit use in resource-limited settings.

Area of Science:

  • Ophthalmology
  • Neonatology
  • Public Health

Background:

  • Retinopathy of prematurity (ROP) is a leading cause of blindness in premature infants.
  • The G-ROP criteria, incorporating postnatal weight gain, are validated for ROP screening.
  • Optimizing ROP screening is crucial to prevent vision loss.

Purpose of the Study:

  • To assess the diagnostic accuracy of the G-ROP algorithm for various ROP outcomes.
  • To explore sources of heterogeneity in G-ROP performance.
  • To evaluate the potential of G-ROP to reduce screening examinations.

Main Methods:

  • Systematic review and meta-analysis of studies using G-ROP for ROP prediction.
  • Searched PubMed, EMBASE, and Cochrane databases through September 2024.
  • Assessed risk of bias (QUADAS-2) and certainty of evidence (GRADE).

Main Results:

  • High sensitivity (0.99) for type 1 ROP, with low specificity (0.34).
  • High sensitivity (0.98) for type 2 ROP, with low specificity (0.25).
  • Moderate sensitivity (0.87) and specificity (0.45) for any-stage ROP.

Conclusions:

  • The G-ROP algorithm demonstrates high sensitivity for detecting severe ROP (type 1 and treated).
  • Its high sensitivity supports its role in ROP screening, potentially reducing exams.
  • Low specificity may limit its utility in resource-constrained settings requiring minimized unnecessary screenings.
Abstract

Keywords:
G-ROPRetinopathy of prematurity.

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