Evidence map›Paper›PMID 39575274›Full record

ArticleWorld journal of gastrointestinal surgery2024

Postoperative serum tumor markers-based nomogram predicting early recurrence for patients undergoing radical resections of pancreatic ductal adenocarcinoma.

Hang He, Cai-Feng Zou, Feng Yang, Yang Di, Chen Jin, De-Liang Fu

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Article in World journal of gastrointestinal surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hang HeDepartment of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China. hhe10@fudan.edu.cn.
Cai-Feng ZouDepartment of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China.
Feng YangDepartment of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China.
Yang DiDepartment of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China.
Chen JinDepartment of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China.
De-Liang FuDepartment of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly recurrence (ER) is associated with dismal outcomes in patients undergoing radical resection for pancreatic ductal adenocarcinoma (PDAC). Approaches for predicting ER will help clinicians in implementing individualized adjuvant therapies. Postoperative serum tumor markers (STMs) are indicators of tumor progression and may improve current systems for predicting ER.

aimTo establish an improved nomogram based on postoperative STMs to predict ER in PDAC.

methodsWe retrospectively enrolled 282 patients who underwent radical resection for PDAC at our institute between 2019 and 2021. Univariate and multivariate Cox regression analyses of variables with or without postoperative STMs, were performed to identify independent risk factors for ER. A nomogram was constructed based on the independent postoperative STMs. Receiver operating characteristic curve analysis was used to evaluate the area under the curve (AUC) of the nomogram. Survival analysis was performed using Kaplan-Meier survival plot and log-rank test.

resultsPostoperative carbohydrate antigen 19-9 and carcinoembryonic antigen levels, preoperative carbohydrate antigen 125 levels, perineural invasion, and pTNM stage III were independent risk factors for ER in PDAC. The postoperative STMs-based nomogram (AUC: 0.774, 95%CI: 0.713-0.835) had superior accuracy in predicting ER compared with the nomogram without postoperative STMs (AUC: 0.688, 95%CI: 0.625-0.750) (

conclusionThe postoperative STMs-based nomogram improves the predictive accuracy of ER in PDAC, stratifies the risk of ER, and identifies patients at high risk of ER for tailored adjuvant therapies.

Indexed as

Adjuvant therapyEarly recurrenceNomogramPancreatic ductal adenocarcinomaPostoperative serum tumor markersPredicting accuracy

Identifiers

PMID39575274
PMCPMC11577392

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