Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for recurrent nephrolithiasis among patients with pre-existing nephrolithiasis or gout: target trial emulation studies
Notice bibliographique
Résumé
OBJECTIVE: To emulate target trials comparing recurrence of nephrolithiasis among patients with pre-existing nephrolithiasis (overall and stratified by concomitant gout) initiating sodium-glucose cotransporter-2 (SGLT-2) inhibitors versus an active comparator. DESIGN: Target trial emulation studies. SETTING: Canadian population database, January 2014 to June 2022. PARTICIPANTS: 20 146 patients with nephrolithiasis and type 2 diabetes, including those with concomitant gout at baseline, a high risk group. INTERVENTIONS: Initiation of an SGLT-2 inhibitor or glucagon-like peptide-1 (GLP-1) receptor agonist, with a dipeptidyl peptidase-4 (DPP-4) inhibitor as alternative comparator. MAIN OUTCOME MEASURES: The primary outcome was recurrent nephrolithiasis events ascertained from diagnoses during emergency department visits, hospital admissions, or outpatient visits. Secondary outcomes included nephrolithiasis resulting in hospital admission or emergency department visits and flare-up of gout, as well as a positive control outcome (genital infection) and negative control outcomes (osteoarthritis encounter and appendicitis). Poisson and Cox proportional hazards regression models were used (primary analyses), as well as overlap weighting. RESULTS: After inverse probability of treatment weighting, 1924 recurrent nephrolithiasis events occurred among the 14 456 weighted patients who used an SGLT-2 inhibitor (105.3 per 1000 person years), compared with 853 events among the 5877 weighted patients who used a GLP-1 receptor agonist (156.4 per 1000 person years). The adjusted rate ratio was 0.67 (95% confidence interval (CI) 0.57 to 0.79) and rate difference was -51 (95% CI -63 to -40) per 1000 person years, with a number needed to treat (NNT) of 20. Among those with recently active nephrolithiasis, the absolute rate difference was 219 per 1000 person years (NNT of 5). Protective associations persisted for nephrolithiasis events that required emergency department visits, hospital admissions, or procedures, and when an SGLT-2 inhibitor was compared with a DPP-4 inhibitor (rate ratio 0.73 (0.68 to 0.78), rate difference -38 (-46 to -29) per 1000 person years (NNT of 26)). Protective associations also persisted among patients with nephrolithiasis and concomitant gout, with a rate ratio of 0.67 (0.57 to 0.79) and rate difference of -53 (95% CI -78 to -27) per 1000 person years versus a GLP-1 receptor agonist (NNT of 19), and 0.63 (0.55 to 0.72) and-62 (-81 to -42) per 1000 person years, respectively, versus a DPP-4 inhibitor (NNT of 16). Furthermore, SGLT-2 inhibitor use was associated with a lower rate of gout flare-ups (rate ratio 0.72, 0.54 to 0.95, rate difference -16, -31 to -1 per 1000 person years) compared with GLP-1 receptor agonists (0.65, 0.52 to 0.82, and -21, -33 to -9 per 1000 person years) compared with DPP-4 inhibitors. SGLT-2 inhibitor initiators showed higher risk of genital infection (eg, hazard ratio 2.21, 95% CI 1.68 to 2.90, and rate difference 13 per 1000 person years), but no altered risk of osteoarthritis encounter (0.87, 0.68 to 1.1, and -2 per 1000 person years) or appendicitis (1.07, 0.69 to 1.67, and 1 per 1000 person years). Results were similar when propensity score overlap weighting was applied. CONCLUSIONS: The benefits associated with SGLT-2 inhibitor for patients with nephrolithiasis in these target trial emulations suggest they may be a useful addition to current treatments to simultaneously manage nephrolithiasis recurrence and comorbidities, including gout.
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 | 0,016 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,005 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».