Neutrophil-to-Lymphocyte Ratio as a Predictive Biomarker for Retinopathy of Prematurity: A Systematic Review
Notice bibliographique
Résumé
Introduction: Retinopathy of prematurity (ROP) remains a leading cause of childhood blindness, with its pathogenesis linked to aberrant vascular development and systemic inflammation. There is a critical need for accessible biomarkers to improve risk stratification beyond current screening standards. This systematic review critically appraises the evidence for the neutrophil-to-lymphocyte ratio (NLR), a widely available inflammatory marker, as a predictor of ROP. Methods: Following PRISMA 2020 guidelines, a systematic search was conducted in PubMed, ScienceDirect, ProQuest, and SpringerLink for observational studies published between January 1st, 2015, and December 31st, 2024. Studies assessing the association between NLR and ROP in preterm infants were included. Two reviewers independently performed study selection, data extraction, and a formal risk-of-bias assessment using the Newcastle-Ottawa Scale (NOS). A narrative synthesis was performed due to significant heterogeneity. Results: The search identified 32 records, with 6 retrospective studies ultimately meeting the inclusion criteria, encompassing a total reported sample of 1,065 infants. The methodological quality of the included studies was low to moderate, with NOS scores ranging from 5 to 7 out of a possible 9. The evidence base was defined by profound methodological heterogeneity, particularly in the timing of blood sample collection, which was unspecified in half of the studies, and inconsistent reporting of core population data. A narrative synthesis of the findings showed that several studies reported a statistical association between an elevated NLR or related inflammatory markers and ROP. However, one study reported no significant association, and the interpretation of others was complicated by a focus on different biomarkers or a lack of statistical significance. Conclusion: The available evidence, derived exclusively from retrospective studies of varying quality, suggests a possible association between elevated NLR and ROP, a link supported by strong biological plausibility. However, the current evidence base is severely limited by methodological flaws and profound heterogeneity, making it insufficient to support the adoption of NLR into clinical practice. NLR is not a standalone diagnostic or predictive tool for ROP. Its potential utility can only be realized through large-scale, methodologically rigorous prospective studies designed to overcome the limitations identified in this review.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,014 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».