S285 Smoking and Alcohol Consumption as Risk Factors for Colonic Diverticulosis and its Complications: A Meta-Analysis
Notice bibliographique
Résumé
Introduction: Colonic diverticulosis is a prevalent condition marked by small pouches (diverticula) in the colon wall, particularly those over 50. Many studies have investigated various risk factors, but the relationship between smoking, alcohol consumption, and colonic diverticulosis remains to be determined. This meta-analysis analyses the association between these lifestyle factors and the risk of colonic diverticulosis and its complications. Methods: A comprehensive literature search was conducted using PubMed, Embase, and Google Scholar to identify relevant studies. Inclusion criteria were based on predefined eligibility standards, focusing on observational studies reporting smoking, alcohol consumption, and colonic diverticulosis. Using random effect models, Mantel-Haenszel odds ratios and associated 95% confidence intervals were produced to report the overall effect size. Statistical significance was set at P < 0.05. Egger's regression test and Begg-Mazumdar's rank test were used to assess publication bias. The quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS). Results: Sixty-two studies encompassing 32,54,5610 patients were included in the final analysis, where the mean age was 57.29 years, and 44.53% were female. Smoking increased the risk of colonic diverticulosis (OR 1.36, 95% CI: 1.24–1.48), diverticulitis (OR 1.59, 95% CI: 1.01 to 2.51), and diverticular bleeding (OR 1.51, 95% CI: 1.13–2.02). Ex-smokers also showed a higher risk of diverticulosis compared to non-smokers (OR 1.31, 95% CI: 1.08–1.59). Alcohol consumption was associated with an increased risk of colonic diverticulosis (OR 1.41, 95% CI: 1.09–1.82). However, no association was found between alcohol consumption and diverticular bleeding (OR 1.15, 95% CI: 0.77 to 1.71) or diverticulitis (OR 1.36, 95% CI: 0.98 to 1.88). No publication bias was evident in the analysis. Conclusion: Our findings suggest an association between smoking, alcohol consumption, and increased risk of colonic diverticulosis. Smoking is associated with an increased risk of colonic diverticulosis and diverticular bleeding. The relationship between alcohol consumption and diverticular disease requires further investigation. Future research should explore the mechanisms by which these factors influence the development of colonic diverticulosis to understand and inform public health recommendations (Figure 1).Figure 1.: Forest plots depicting the association of smoking and alcohol consumption, respectively, with colonic diverticulosis. A) pooled odds ratios demonstrate an elevated risk linked to current and former smoking, while B) indicates an increased risk associated with alcohol consumption.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,016 | 0,070 |
| Bibliométrie | 0,007 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».