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Enregistrement W7083631909 · doi:10.70070/vptnkj62

The Association of Long-Term Metformin Use with Cancer Risk in Type 2 Diabetes: A Systematic Review of the Evidence and Methodological Controversies

2023· article· en· W7083631909 sur OpenAlexaboutno aff

Notice bibliographique

RevueThe Indonesian Journal of General Medicine · 2023
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueProbiotics and Fermented Foods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésObservational studyMetforminRandomized controlled trialConfoundingCancerBreast cancerIncidence (geometry)Systematic reviewMeta-analysis

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: A substantial body of evidence suggests that type 2 diabetes mellitus (T2DM) is a systemic state that promotes carcinogenesis, with chronic hyperinsulinemia identified as a primary biological mechanism. Metformin, a first-line insulin-sensitizing agent for T2DM, has been investigated for potential anti-neoplastic properties due to its ability to reduce circulating insulin levels and exert direct cellular effects. However, the evidence is conflicting, with observational studies suggesting a protective effect while randomized controlled trials (RCTs) show null results. This systematic review synthesizes the evidence on the association between long-term metformin use and cancer risk in patients with T2DM and critically appraises the methodological controversies that complicate its interpretation. METHODS: A systematic review of key observational studies investigating the association between metformin use and cancer risk in T2DM patients was conducted. Included studies were of cohort and case-control design. The methodological quality of selected studies was assessed using the Newcastle-Ottawa Scale (NOS). Findings were synthesized for overall cancer incidence and mortality, site-specific cancer risks, and dose-duration relationships. A critical appraisal of potential biases, including time-related biases and confounding by comparator, was performed to contextualize the discrepancy between observational and RCT evidence. RESULTS: Observational studies and their meta-analyses consistently reported a significant reduction in overall cancer risk, with summary risk reductions of approximately 30-35% for both incidence and mortality. The strongest protective associations were observed for hepatocellular and pancreatic cancers. The evidence for colorectal and breast cancer was inconsistent, while the association with prostate cancer was weak. A clear dose- and duration-response relationship was a common finding, with benefits becoming significant only after several years of continuous use. In stark contrast, meta-analyses of RCTs have consistently found no association between metformin use and cancer incidence (RR 1.07; 95% CI, 0.87–1.31). Critical appraisal of the observational literature revealed a high potential for methodological flaws, particularly immortal time bias and confounding by comparison to potentially harmful agents (e.g., sulfonylureas), which may account for this discrepancy. DISCUSSION: The evidence regarding metformin's chemopreventive effect is defined by a fundamental conflict between a large body of observational data suggesting a strong protective effect and null findings from RCTs. The magnitude of risk reduction in observational studies is likely an overestimation driven by systematic biases. If a true protective effect exists, it is probably far more modest than initially reported and likely mediated by the systemic reduction of hyperinsulinemia, primarily affecting insulin-sensitive tumors. The alternative hypothesis—that metformin appears protective because it is often compared to agents like sulfonylureas that may increase cancer risk—cannot be dismissed. CONCLUSION: Observational studies and their meta-analyses consistently reported a significant reduction in overall cancer risk, with summary risk reductions of approximately 30-35% for both incidence and mortality. The potential for a modest reduction in the risk of certain cancers is a compelling hypothesis, but definitive conclusions await the results of large-scale, long-term RCTs designed with cancer as a primary endpoint.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,048
Score d'incertitude au seuil0,406

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,062
Tête enseignante GPT0,307
Écart entre enseignants0,245 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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