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Record W4390576267 · doi:10.47119/ijrp1001401120245936

Blindness Due to Retinopathy of Prematurity: A Literature Review

2023· review· en· W4390576267 on OpenAlexaboutno aff
Butsainah, Aliyah Rizky Sukmajaya, Reni Prastyani

Bibliographic record

VenueInternational Journal of Research Publications · 2023
Typereview
Languageen
FieldMedicine
TopicRetinopathy of Prematurity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRetinopathy of prematurityMedicineBlindnessChildhood blindnessPediatricsIncidence (geometry)Low birth weightGestational ageInclusion and exclusion criteriaBirth weightOptometryPregnancyAlternative medicine

Abstract

fetched live from OpenAlex

Background: Retinopathy of prematurity (ROP) is one of the main causes of blindness in children in developed countries such as the United States, Canada and Western Europe, as well as in developing countries such as India, China, Eastern Europe and Latin America.Purpose: This literature review aims to analyze the incidence, risk factors, and therapeutic management of blindness due to retinopathy of prematurity. Method: Writing a literature review was carried out by searching scientific journals via the Pubmed and Google Scholar databases. The search was carried out using the keywords Blindness, Retinopathy Prematurity, , Risk Factor, Incidence, Neonates, Newborn, Clinical Study. Inclusion criteria include international published journals, journals published in the 2019-2023 period, as well as research journals related to studies on premature babies. Exclusion criteria included studies on test animals and premature infants with hydrocephalus or major congenital abnormalities. Results: 15 complete journal articles were taken which had been assessed according to the inclusion and exclusion criteria and were used for review. Conclusion: ROP is one of the main causes of blindness in children in developed and developing countries. Low gestational age, low birth weight, and administration of additional oxygen therapy are risk factors for the development of ROP. Laser photocoagulation therapy and anti-VEGF agents (Ranibizumab, Conbercept) are frequently used clinically in the treatment of ROP

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.244
GPT teacher head0.551
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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