S1349 Glucagon-Like Peptide-1 Receptor Agonist and Pioglitazone Therapy Have Superior Mortality and Liver Outcomes for Patients With Type 2 Diabetes and a Diagnosis or at Risk for Undiagnosed Non-alcoholic Fatty Liver Disease
Notice bibliographique
Résumé
Introduction: Antidiabetic therapies Pioglitazone (PGZ) and Glucagon-Like Peptide-1 receptor Agonists (GLP1A) may have potential benefit in Nonalcoholic Fatty Liver Disease (NAFLD) and Nonalcoholic Steatohepatitis (NASH). We evaluated the efficacy of these agents in Type 2 Diabetes (T2DM) patients with NAFLD/NASH in reducing all-cause mortality and adverse liver outcomes. Methods: We queried TriNetX, a healthcare database that provides up to 20 years of de-identified aggregate data for over 123 million patients from 14 different countries. Patients were selected based on International Classification of Diseases-10th Edition (ICD-10) codes, with all patients having T2DM and either NAFLD or NASH, or a high risk of undiagnosed NAFLD/NASH (RISK) based on age > 50, ALT > 30, and T2DM. Patients could not have or be at risk for other chronic liver diseases or have a baseline high risk of mortality, according to the Charlson-Morbidity Index. We constructed 3 exclusive cohorts based on index event medication: Group 1 (GLP1A), Group 2 (PGZ), and Group 3 (other second-line T2DM medications). We matched Group 1 or Group 2 patients with Group 3 patients that had similar propensity scores on demographics, factors affecting the choice of second line T2DM medication, and factors predicting adverse liver outcomes. Matched patients were followed on an intention-to-treat basis for up to 20 years after medication initiation. Time-to-event analyses were performed using Kaplan-Meier analysis and Hazard ratios (HR) were estimated using Cox-proportional HR models with a P-value < 0.05 considered significant. The potential for unmeasured confounding was evaluated by E-value sensitivity analysis. We performed a sub-analysis on patients with an established diagnosis of cirrhosis. Results: All-cause mortality was noted to be lower among both Group 1 (HR 0.58; 95% CI 0.55 – 0.61) and Group 2 (HR 0.92; 95% CI 0.85 – 0.99) when compared to Group 3. A similar reduction was noted in Group 1 when cirrhotic patients were compared (HR 0.61; 95% CI 0.52 – 0.71). Incidence rates of liver decompensation and HCC were reduced in both Group 1 and 2 when compared with Group 3. Reduction in Liver Transplant was noted only in Group 1 (HR 0.62; 95% CI 0.44 – 0.87). E-value analyses suggested unmeasured confounders were unlikely to change any outcome associations. Conclusion: In a real-world long-term study using a large database, the use of GLP1A and PGZ for T2DM management in NAFLD/NASH population was associated with reduced overall mortality and incidence of hepatic decompensation and HCC (Figure 1 and Table 1).Figure 1.: Kaplan-Meier Curves for All-Cause Mortality and Liver Outcomes in Diabetic Patients with Fatty Liver Disease or At-risk for Undiagnosed Fatty Liver Disease Following Medication Initiation. GLP-1 RA = Glucagon-Like Peptide-1 Receptor Agonist. HR = Hazard Ratio. Table 1. - Hazard Ratios (HR) and E-Value Sensitivity Analysis for Unmeasured Confounding Cohort Outcome Hazard Ratio (95% CI) *E-Value for HR Estimate E-Value for Lower Limit of 95% CI GLP-1 RA All-Cause Mortality 0.579 (0.549 - 0.611) **7.76 8.55 New Cirrhosis 1.10 (0.98 - 1.22) 2.35 1.48 Liver Decompensation Events 0.723 (0.68 - 0.768) 4.85 5.59 Hepatocellular Carcinoma 0.633 (0.579 - 0.692) 6.52 7.76 Liver Transplant 0.615 (0.437 - 0.867) 6.91 12.45 Pioglitazone All-Cause Mortality 0.916 (0.847 - 0.991) 2.27 3.09 New Cirrhosis 0.874 (0.709 - 1.078) 2.77 5.08 Liver Decompensation Events 0.773 (0.695 - 0.861) 4.08 5.32 Hepatocellular Carcinoma 0.631 (0.533 - 0.748) 6.56 9.01 Liver Transplant 0.792 (0.413 - 1.517) 3.81 13.55 Prior Cirrhosis GLP-1 RA All-Cause Mortality 0.607 (0.52 - 0.709) 7.09 9.41 Liver Decompensation Events 0.782 (0.682 - 0.898) 3.95 5.56 Hepatocellular Carcinoma 0.796 (0.623 - 1.016) 3.76 6.73 Liver Transplant 0.587 (0.409 - 0.844) 7.56 13.75 Prior Cirrhosis Pioglitazone All-Cause Mortality 1.189 (0.85 - 1.663) 3.17 3.06 Liver Decompensation Events 1.212 (0.778 - 1.888) 3.37 4.01 Hepatocellular Carcinoma 0.703 (0.351 - 1.405) 5.18 17.05 Liver Transplant 0.815 (0.302 - 2.195) 3.50 20.76 *The E-value is the minimum strength of association to fully explain away a specific treatment–outcome association. If there exists an unmeasured covariate having a relative risk association at least as large as **7.76, then residual confounding could explain the observed association between GLP-1 RA and All-Cause Mortality. CI, Confidence Interval, GLP-1 RA 5 Glucagon-Like Peptide-1 Receptor Agonist.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,005 | 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 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 ».