FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4377989762> ?p ?o ?g. }

• W4377989762 abstract "Abstract Introduction Surgery represents a primary therapeutic approach for borderline resectable and locally advanced pancreatic cancer (BR/LAPC). However, BR/LAPC lesions exhibit high heterogeneity and not all BR/LAPC patients who undergo surgery can derive beneficial outcomes. The present study aims to employ machine learning (ML) algorithms to identify those who would obtain benefits from the primary tumor surgery. Methods We retrieved clinical data of patients with BR/LAPC from the Surveillance, Epidemiology, and End Results (SEER) database and classified them into surgery and non-surgery groups based on primary tumor surgery status. To eliminate confounding factors, propensity score matching (PSM) was employed. We hypothesized that patients who underwent surgery and had a longer median cancer-specific survival (CSS) than those who did not undergo surgery would certainly benefit from surgical intervention. Clinical and pathological features were utilized to construct six ML models, and model effectiveness was compared through measures such as the area under curve (AUC), calibration plots, and decision curve analysis (DCA). We selected the best-performing algorithm (i.e., XGBoost) to predict postoperative benefits. The SHapley Additive exPlanations (SHAP) approach was used to interpret the XGBoost model. Additionally, data from 53 Chinese patients prospectively collected was used for external validation of the model. Results According to the results of the 10-fold cross-validation in the training cohort, the XGBoost model yielded the best performance (AUC = 0.823, 95%CI 0.707–0.938). The internal (74.3% accuracy) and external (84.3% accuracy) validation demonstrated the generalizability of the model. The SHAP analysis provided explanations independent of the model, highlighting important factors related to postoperative survival benefits in BR/LAPC, with age, chemotherapy, and radiation therapy being the top three important factors. Conclusion By integrating of ML algorithms and clinical data, we have established a highly efficient model to facilitate clinical decision-making and assist clinicians in selecting the population that would benefit from surgery." @default.
• W4377989762 created "2023-05-25" @default.
• W4377989762 creator A5015243485 @default.
• W4377989762 creator A5026251507 @default.
• W4377989762 creator A5068552749 @default.
• W4377989762 creator A5069394608 @default.
• W4377989762 creator A5086486425 @default.
• W4377989762 date "2023-05-24" @default.
• W4377989762 modified "2023-09-26" @default.
• W4377989762 title "Machine Learning-Based Prediction of Surgical Benefit in Borderline Resectable and Locally Advanced Pancreatic Cancer" @default.
• W4377989762 cites W1995742535 @default.
• W4377989762 cites W2012005360 @default.
• W4377989762 cites W2016236483 @default.
• W4377989762 cites W2019607817 @default.
• W4377989762 cites W2096926133 @default.
• W4377989762 cites W2135619346 @default.
• W4377989762 cites W2137189854 @default.
• W4377989762 cites W2142636026 @default.
• W4377989762 cites W2146997862 @default.
• W4377989762 cites W2149942294 @default.
• W4377989762 cites W2294867706 @default.
• W4377989762 cites W2775185847 @default.
• W4377989762 cites W2900976721 @default.
• W4377989762 cites W2913066735 @default.
• W4377989762 cites W2913927793 @default.
• W4377989762 cites W2916751916 @default.
• W4377989762 cites W2917919815 @default.
• W4377989762 cites W2943491685 @default.
• W4377989762 cites W2969621755 @default.
• W4377989762 cites W2982947522 @default.
• W4377989762 cites W3006882261 @default.
• W4377989762 cites W3128646645 @default.
• W4377989762 cites W3153075376 @default.
• W4377989762 cites W3184643866 @default.
• W4377989762 cites W3197559541 @default.
• W4377989762 cites W4206841660 @default.
• W4377989762 doi "https://doi.org/10.21203/rs.3.rs-2959728/v1" @default.
• W4377989762 hasPublicationYear "2023" @default.
• W4377989762 type Work @default.
• W4377989762 citedByCount "0" @default.
• W4377989762 crossrefType "posted-content" @default.
• W4377989762 hasAuthorship W4377989762A5015243485 @default.
• W4377989762 hasAuthorship W4377989762A5026251507 @default.
• W4377989762 hasAuthorship W4377989762A5068552749 @default.
• W4377989762 hasAuthorship W4377989762A5069394608 @default.
• W4377989762 hasAuthorship W4377989762A5086486425 @default.
• W4377989762 hasBestOaLocation W43779897621 @default.
• W4377989762 hasConcept C105795698 @default.
• W4377989762 hasConcept C121608353 @default.
• W4377989762 hasConcept C126322002 @default.
• W4377989762 hasConcept C141071460 @default.
• W4377989762 hasConcept C143998085 @default.
• W4377989762 hasConcept C146357865 @default.
• W4377989762 hasConcept C151730666 @default.
• W4377989762 hasConcept C17923572 @default.
• W4377989762 hasConcept C27158222 @default.
• W4377989762 hasConcept C2780210213 @default.
• W4377989762 hasConcept C33923547 @default.
• W4377989762 hasConcept C71924100 @default.
• W4377989762 hasConcept C77350462 @default.
• W4377989762 hasConcept C86803240 @default.
• W4377989762 hasConceptScore W4377989762C105795698 @default.
• W4377989762 hasConceptScore W4377989762C121608353 @default.
• W4377989762 hasConceptScore W4377989762C126322002 @default.
• W4377989762 hasConceptScore W4377989762C141071460 @default.
• W4377989762 hasConceptScore W4377989762C143998085 @default.
• W4377989762 hasConceptScore W4377989762C146357865 @default.
• W4377989762 hasConceptScore W4377989762C151730666 @default.
• W4377989762 hasConceptScore W4377989762C17923572 @default.
• W4377989762 hasConceptScore W4377989762C27158222 @default.
• W4377989762 hasConceptScore W4377989762C2780210213 @default.
• W4377989762 hasConceptScore W4377989762C33923547 @default.
• W4377989762 hasConceptScore W4377989762C71924100 @default.
• W4377989762 hasConceptScore W4377989762C77350462 @default.
• W4377989762 hasConceptScore W4377989762C86803240 @default.
• W4377989762 hasLocation W43779897621 @default.
• W4377989762 hasOpenAccess W4377989762 @default.
• W4377989762 hasPrimaryLocation W43779897621 @default.
• W4377989762 hasRelatedWork W2047967234 @default.
• W4377989762 hasRelatedWork W2108514281 @default.
• W4377989762 hasRelatedWork W2345342558 @default.
• W4377989762 hasRelatedWork W2396000345 @default.
• W4377989762 hasRelatedWork W2439875401 @default.
• W4377989762 hasRelatedWork W2891070741 @default.
• W4377989762 hasRelatedWork W2947638779 @default.
• W4377989762 hasRelatedWork W3003730536 @default.
• W4377989762 hasRelatedWork W3025402050 @default.
• W4377989762 hasRelatedWork W3168066730 @default.
• W4377989762 isParatext "false" @default.
• W4377989762 isRetracted "false" @default.
• W4377989762 workType "article" @default.