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Surgical oncology · 2024

Predictors of malignant transformation in mucinous pancreatic cystic neoplasm: A systemic review and meta-analysis.

СтатьяСистематический обзорМетаанализНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Solis-Pazmino Paola, Pazmino Camila, Termeie Orly, La Kristina, Pilatuna Eduardo, Tite Belen, Figueroa Luis, Guarconi Magno, Harrison Jon, Nasseri Yosef, Ellenhorn Joshua, Visser Brendan C

Аннотация

BACKGROUND: The presence of ovarian-type stroma defines mucinous cystic neoplasm (MCN). Criteria for surgical resection differ between current consensus guidelines (IAP, AGA, and Europe). This meta-analysis aims to describe pre-surgical clinical parameters that predict malignant transformation of MCN of the pancreas.

METHODS: A systematic review and meta-analysis of articles published from 2006 to the time of manuscript authorship in December 2022. The electronic databases included English publications in Ovid MEDLINE In-Process & Other Non-Indexed Citations, Ovid MEDLINE, Ovid EMBASE, and Scopus.

RESULTS: 17 studies were identified and included 1058 patients with MCN treated with pancreatectomy. The mean cohort age was 48.2 years (standard deviation [SD] ± 7.9) with an expected female predominance (96 %). The presenting symptom for most was abdominal pain (55.6 %), however, nearly 20 % of patients were asymptomatic. Most patients were treated with distal pancreatectomy (70.5 %), and the mean tumor size was 45 mm. The rate of invasive cancer was 13.8 %. Cysts with mural nodules had a higher risk of developing invasive tumors than those that did not (OR 26.47, 95%CI 12.57-55.74, p < 0.001, I2:0 %). Other clinical factors such as the presence of intramural calcifications or an elevated serum CA 19-9 (>37U/mL) were not predictive of malignancy.

CONCLUSION: The present meta-analysis did not clarify establishing reliable predictors for malignant transformation other than mural modularity, which may represent tumors that have already undergone transformation. It may be used as a criterion in treatment decision-making.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты