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Enregistrement W4386997348 · doi:10.3889/oamjms.2023.11687

Adjuvant Therapy in Early-Stage Cervical Cancer Patients with Intermediate-Risk Factors, Comparing Between Chemotherapy and Radiotherapy: A Systematic Review and Meta-Analysis

2023· review· en· W4386997348 sur OpenAlexaboutno aff
Gde Sastra Winata, William Alexander Setiawan, I Wayan Agus Surya Pradnyana, Stanly Kamardi, Putu Agung Satvika Pradnyadevi

Notice bibliographique

RevueOpen Access Macedonian Journal of Medical Sciences · 2023
Typereview
Langueen
DomaineMedicine
ThématiqueEndometrial and Cervical Cancer Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMeta-analysisOncologyRadiation therapyInternal medicineLymphovascular invasionCervical cancerOdds ratioRandomized controlled trialAdjuvant therapyRegimenStage (stratigraphy)CancerMetastasis

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Patients with early-stage cervical cancer (ESCC) after radical hysterectomy surgery usually need additional adjuvant treatment, but it depends on the presence or absence of certain risk factors. Factors, such as large tumor size, deep stromal invasion, and lymphovascular space involvement, are classified as intermediate risks. Therefore, postoperative adjuvant concurrent chemo-radiotherapy (CRT) or radiotherapy (RT) is recommended for ESCC with risk factors. However, it remains controversial whether CRT is superior to RT as an adjuvant regimen for postoperative with risk factors. METHODS: A systematic search was performed within PubMed, Cochrane, Science Direct, and Google Scholar databases to research the outcome between CRT and RT in ESCC. Three reviewers independently reviewed titles, abstracts, and full article text to identify studies meeting inclusion and exclusion criteria. If there are any discrepancies, it will be resolved by discussion. In this analysis, the Newcastle–Ottawa scale was used to assess the risk of bias of non-randomized studies. We used review manager 5.4 to calculate the result of 95% CI for the outcomes using odds ratio (OR), random effect model was also used if there is heterogeneity. The primary endpoints of interest are recurrence-free survival (RFS) and overall survival (OS). RESULTS: A total of 14 studies included in qualitative synthesis and meta-analysis with a total of 5.294 patients were identified. Patients who had RT after radical hysterectomy was found to significantly have a more favorable RFS rate with OR 0.57 95% CI (0.38–0.84), p = 0.005; I2 = 63%. Nine studies were found comparing the OS between adjuvant RT and adjuvant CRT in a patient with ESCC with intermediate risk, the result is quite similar favoring adjuvant RT with significantly better OS outcome OR 0.69 95% CI (0.54–0.87), p = 0.002; I2 =34%. 1.526 had hematologic toxicities, 797 were RT and 729 had CRT. The study showed RT had better outcomes with lesser toxicities (OR 0.11, 95% CI [0.03–0.44] p = 0.002; I2 = 91%). Non-hematological toxicity, with a total of 1.463 patients, 799 were RT and 664 had CRT. Random models were used due to heterogeneity. RT is significantly associated with lesser non- hematologic toxicities with OR 0.34, 95% CI (0.18–0.66) p = 0.001; I2 = 65%. DISCUSSION: During the last two decades, there were significant changes in practice to cure uterine cervical cancer. Based on the consistent results generated in several previous randomized controlled trials, cisplatin-based CCRT has become the standard treatment for advanced cervical cancer. A randomized prospective studies by Sedlis et al., randomized FIGO IB patients without residual tumor or involved lymph nodes but with two or more intermediate-risk factors later named the “Sedlis criteria” to receive observation or RT following radical surgery. Adjuvant RT led to a reduction of recurrence rates at the cost of an approximately 4% higher rate of grade 3/4 adverse events. There was no increase in OS but an improvement of long-term RFS. On the other hand, a study found that RFS and OS were significantly improved in the addition of chemotherapy, especially in patients with clinical-stage IA2, IB, and IIA with para-metric invasion, residual tumor and/or lymph node involvement. This study found that RT had better outcomes in RFS and OS, RT also had lesser hematologic toxicity and non-hematologic toxicity. After all, it is prudent to take into account the adverse events as well as the QOL for long-term survivors. CONCLUSION: Adjuvant RT shows a better outcome in RFS and OS. CRT is often associated with greater hematological and non-hematological toxicities. Further high-quality randomized clinical trials with larger sample size comparing the efficacy and toxicity of adjuvant CRT with RT are recommended.

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)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,538
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0110,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0020,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,244
Tête enseignante GPT0,476
Écart entre enseignants0,232 · 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.

Devis d'étudeMéta-analyse
Domainenon disponible
GenreSynthèse

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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