ArticleSaudi medical journal2025
Validation of DIGIROP- Birth and DIGIROP- Screen for the discovery of retinopathy of prematurity requiring treatment in preterm births in Saudi Arabia.
Article in Saudi medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo validate 2 DIGIROP prediction models for retinopathy of prematurity (ROP) type 1 and compare them to other weight-based algorithms in a premature Saudi Arabian infant cohort.
methodsPreterm infants of 24-30 weeks' gestational age (GA) or body weight (BW) of ≤1500g who were admitted to the neonatal units of 2 Jeddah tertiary centers between January 2015 and September 2021 were included (N=363). The DIGIROP-Birth employed the birth GA, gender, birth weight, and age at ROP onset as predictors. The area under the receiver operating characteristic curve (AUC) with 95% confidence interval, specificity, and sensitivity were projected. The DIGIROP-Screen risk of risk were identified at 6-14 weeks postnatal age (PNA).
resultsThe mean GA was 27.94±1.6 weeks and the mean BW was 1068.2±269.2 g. The DIGIROP-Birth had a sensitivity of 93.8%; specificity of 48.9%; AUC of 0.70; and accuracy of 52.9%. For DIGIROP-Screen, the AUC for models spanning PNA 6-14 weeks varied from 0.68-0.83, and sensitivity varied from 73.3-96.8%. The DIGIROP-Birth and DIGIROP-Screen showed the highest accuracy and AUC value in comparison to other ROP prediction models.
conclusionThe 2 models demonstrated high predictive capacity for type 1 ROP risk assessment in this cohort. The potential of these tools for identifying high-risk infants and avoiding standard ROP screening in low-risk infants needs to be verified through large-scale studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.