The Prognostic Value of Sarcopenia in Clinical Outcomes in Cervical Cancer: A Systematic Review and Meta‐Analysis
Notice bibliographique
Résumé
BACKGROUND: Sarcopenia is a condition characterized by inadequate muscle and function decline and is often associated with ageing and cancer. It is established that sarcopenia and muscle loss occurred during treatment are associated with the clinical outcomes of patients with cancer. This systematic review and meta-analysis aims to evaluate the association between sarcopenia at pretreatment and during treatment and overall survival or disease progression in patients with cervical cancer. METHODS: The Web of Science, Embase, Medline and Cochrane Library databases were searched until 4 July 2024. Studies evaluating the prognostic effect of muscle mass at pretreatment or muscle change during treatment on survival or disease progression for patients with cervical cancer were included. Study quality was evaluated with the Newcastle-Ottawa Scale (NOS). Forest plots and summary effect models were used to show the effect size of sarcopenia on clinical outcomes. RESULTS: The search strategy yielded 1721 studies in four databases. Eleven and seven studies were included in the quantitative analysis of pretreatment sarcopenia and muscle change on clinical outcomes, respectively. A total of 1907 patients underwent pretreatment muscle assessment, but 1016 were monitored for muscle changes; however, none of the studies involved measures of muscle strength or function. Meta-analysis showed a significant association between pretreatment sarcopenia and OS [hazard ratio (HR) 1.58, 95% confidence interval (CI): 1.16-2.14, p = 0.003] and PFS (HR 1.63, 95%CI 1.16-2.29, p = 0.005) according to data of univariate analysis. In the meta-analysis of the multivariate data, pretreatment sarcopenia remained associated with poor OS (HR 3.09, 95% CI: 2.07-4.61, p < 0.00001) and PFS (HR: 1.55, 95%CI 1.06-2.28, p = 0.03). Additionally, muscle loss was significantly associated with OS (HR 5.18, 95%CI 3.54-7.56, p < 0.00001) and PFS (HR 2.62, 95%CI 1.63-4.22, p < 0.00001). Subgroup analysis showed that the association between pretreatment sarcopenia and OS, as well as PFS, was influenced by muscle mass measurements and cut-off values, whereas muscle loss consistently predicted worse OS and PFS when stratified by varying degrees of reduction. The NOS scores of all included studies were ≥ 6. CONCLUSIONS: Pretreatment sarcopenia and muscle change during treatment are significantly associated with both overall survival and disease progression. Therefore, muscle assessment and monitoring should be conducted for appropriate diagnosis and intervention to improve clinical outcomes in patients with cervical 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 | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,011 | 0,002 |
| Bibliométrie | 0,001 | 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 | 0,001 |
| 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 ».