Dietary inflammatory index and the risk of esophageal cancer: a systematic review and meta-analysis
Notice bibliographique
Résumé
It is well-recognized that inflammation is an adaptive pathophysiological response in many types of cancer. Research on nutrition's critical role in inflammation, a risk factor for all forms of cancer, is growing. The dietary inflammatory index (DII) was created lately to assess if a diet is pro- or anti-inflammatory in terms of inflammation. Indeed, several studies have demonstrated the correlation between DII and the risk of several cancer types. This meta-analysis set out to look into the relationship between DII and the different forms of esophageal cancer. PubMed, Cochrane library, Embase, Scopus, and Web of Science databases were searched up to May 2024 to retrieve relevant articles. RAYYAN intelligent tool for systematic reviews was incorporated for the screening of studies. Original articles written in English Studies that investigated the inflammatory index of diet in individuals who developed esophageal cancer were included in this study.STATA v18 software was used to conduct the meta-analysis. Egger's test for publication bias assessment was implemented. Newcastle Ottawa scale was used to evaluate the qualities of the included studies. A plot digitizer was used to extract digital data. A total of 13 studies were included in the systematic review, with 6 studies contributing to the meta-analysis, comprising 10,150 participants. The participants were categorized into high and low DII groups, with the low DII group (n = 3,403) serving as the reference. The meta-analysis demonstrated a significant association between high DII and increased risk of esophageal cancer. Specifically, individuals in the high DII group were 29% more likely to develop esophageal cancer, with a pooled odds ratio (OR) of 1.29 (95% Confidence Interval [CI]: 1.16–1.43), as calculated using a random-effects model. Moderate heterogeneity was observed (I2 > 50%). Egger’s test indicated evidence of publication bias (p < 0.05). Subgroup and sensitivity analyses confirmed the robustness of this association across populations and study designs. our study concludes that a higher level of DII is associated with a higher risk of esophageal cancer development. This study suggests that modifying inflammatory properties of dietary patterns can reduce the risk of incidence of esophageal cancer.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,012 | 0,004 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».