Evidence map›Paper›PMID 39180010›Full record

ArticleBMC ophthalmology2024

Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach.

Leili Tapak, Leila Nezamabadi Farahani, Naeeme Taslimi Taleghani, Nazanin Ebrahimiadib, Elias Khalili Pour, Afsar Dastjani Farahani, Omid Hamidi

Abstract read
In one paragraph

Article in BMC ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Predictive factors for retinopathy of prematurity in a hospital from Bajío].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Article
  2. Article
  3. 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

7 authors.

Leili TapakDepartment of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-4378-3143
Leila Nezamabadi FarahaniDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID http://orcid.org/0000-0002-3932-6062
Naeeme Taslimi TaleghaniClinical Research Development Center, Mahdiyeh Educational Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-8144-2323
Nazanin EbrahimiadibDepartment of Ophthalmology, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID http://orcid.org/0000-0002-2058-9225
Elias Khalili PourFarabi Eye Hospital, Retina Ward, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-8123-4375
Afsar Dastjani FarahaniFarabi Eye Hospital, Retina Ward, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0003-4147-8871
Omid HamidiDepartment of Science, Hamedan University of Technology, Hamedan, Iran. omid_hamidi@hut.ac.ir.ORCID http://orcid.org/0000-0002-8721-3345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRetinopathy of prematurity (ROP), is a preventable leading cause of blindness in infants and is a condition in which the immature retina experiences abnormal blood vessel growth. The development of ROP is multifactorial; nevertheless, the risk factors are controversial. This study aimed to identify risk factors of time to development of ROP in Iran.

methodsThis historical cohort study utilized data from the hospital records of all newborns referred to the ROP department of Farabi Hospital (from 2017 to 2021) and the NICU records of infants referred from Mahdieh Hospital to Farabi Hospital. Preterm infants with birth weight (BW) ≤ 2000 g or gestational age (GA) < 34 wk, as well as selected infants with an unstable clinical course, as determined by their pediatricians or neonatologists, with BW > 2000 g or GA ≥ 34 wk. The outcome variable was the time to development of ROP (in weeks). Random survival forest was used to analyze the data.

resultsA total of 338 cases, including 676 eyes, were evaluated. The mean GA and BW of the study group were 31.59 ± 2.39 weeks and 1656.72 ± 453.80 g, respectively. According to the criteria of minimal depth and variable importance, the most significant predictors of the time to development of ROP were duration of ventilation, GA, duration of oxygen supplementation, bilirubin levels, duration of antibiotic administration, duration of Total Parenteral Nutrition (TPN), mother age, birth order, number of surfactant administration, and on time screening. The concordance index for predicting survival of the fitted model was 0.878.

conclusionOur findings indicated that the duration of ventilation, GA, duration of oxygen supplementation, bilirubin levels, duration of antibiotic administration, duration of TPN, mother age, birth order, number of surfactant administrations, and on time screening are potential risk factors of prognosis of ROP. The associations between identified risk factors were mostly nonlinear. Therefore, it is recommended to consider the nature of these relationships in managing treatment and designing early interventions.

Indexed as

Gestational AgeInfant, PrematureMachine LearningRetinopathy of PrematurityBirth WeightFemaleHumansInfantInfant, NewbornIranMaleRetrospective StudiesRisk FactorsTime FactorsMachine learningMaternal risk factorsNeonatal risk factorRandom survival forestRetinopathy of prematurity ROP

Identifiers

PMID39180010
PMCPMC11342517

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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.