 Connection
Ana Gleisner to Databases, Factual
This is a "connection" page, showing publications Ana Gleisner has written about Databases, Factual.
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1.067 |
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Sugawara T, Rodriguez Franco S, Sherman S, Kirsch MJ, Colborn K, Franklin O, Ishida J, Grandi S, Al-Musawi MH, Gleisner A, Schulick RD, Del Chiaro M. Characteristics and prognosis of patients with pancreatic adenocarcinoma not expressing CA19-9: Analysis of the National Cancer Database. Pancreatology. 2024 Dec; 24(8):1340-1347.
Score: 0.158
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Khomiak A, Ghaffar SA, Rodriguez Franco S, Ziogas IA, Cumbler E, Gleisner A, Del Chiaro M, Schulick RD, Mungo B. The impact of lymph node ratio on survival in gallbladder cancer: a national cancer database analysis. HPB (Oxford). 2024 Dec; 26(12):1544-1552.
Score: 0.156
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Khomiak A, Ghaffar S, Rodriguez Franco S, Ziogas IA, Yee EJ, Franklin O, Cumbler E, Chauhan A, McCarter MD, Gleisner AL, Ahrendt S, Del Chiaro M, Schulick RD, Mungo B. Survival Outcomes of Cytoreductive Surgery with HIPEC in Gastric Adenocarcinoma: A National Cancer Database Study. Ann Surg Oncol. 2024 Dec; 31(13):8549-8559.
Score: 0.156
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Friedman C, Lyon M, Torphy RJ, Thieu D, Hosokawa P, Gonzalez R, Lewis KD, Medina TM, Rioth MJ, Robinson WA, Kounalakis N, McCarter MD, Gleisner AL. A nomogram to predict node positivity in patients with thin melanomas helps inform shared patient decision making. J Surg Oncol. 2019 Dec; 120(7):1276-1283.
Score: 0.111
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Halpern AL, Friedman C, Torphy RJ, Al-Musawi MH, Mitchell JD, Scott CD, Meguid RA, McCarter MD, Weyant MJ, Gleisner AL. Conversion to open surgery during minimally invasive esophagectomy portends worse short-term outcomes: an analysis of the National Cancer Database. Surg Endosc. 2020 08; 34(8):3470-3478.
Score: 0.111
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Catalano G, Alaimo L, Chatzipanagiotou OP, Ruzzenente A, Ratti F, Aldrighetti L, Marques HP, Cauchy F, Lam V, Poultsides GA, Hugh T, Popescu I, Alexandrescu S, Martel G, Kitago M, Endo I, Gleisner A, Shen F, Pawlik TM. Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning. HPB (Oxford). 2025 Jun; 27(6):807-815.
Score: 0.040
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Altaf A, Akabane M, Khalil M, Rashid Z, Zindani S, Kawashima J, Ruzzenente A, Aldrighetti L, Bauer TW, Marques HP, Martel G, Popescu I, Weiss MJ, Kitago M, Poultsides G, Maithel SK, Lam V, Hugh T, Gleisner A, Sasaki K, Aucejo F, Pulitano C, Shen F, Cauchy F, Koerkamp BG, Endo I, Pawlik TM. Impact of intraoperative blood loss on postoperative morbidity after liver resection for primary and secondary liver cancer. HPB (Oxford). 2025 May; 27(5):660-669.
Score: 0.040
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Kawashima J, Endo Y, Woldesenbet S, Khalil M, Akabane M, Cauchy F, Shen F, Maithel S, Popescu I, Kitago M, Weiss MJ, Martel G, Pulitano C, Aldrighetti L, Poultsides G, Ruzzente A, Bauer TW, Gleisner A, Marques H, Groot Koerkamp B, Endo I, Pawlik TM. "Biological R2" resection for intrahepatic cholangiocarcinoma: identification of patients at risk for poor oncologic outcomes after curative-intent resection. HPB (Oxford). 2025 May; 27(5):619-629.
Score: 0.040
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Altaf A, Munir MM, Khan MMM, Rashid Z, Khalil M, Guglielmi A, Ratti F, Aldrighetti L, Bauer TW, Marques HP, Martel G, Alexandrescu S, Weiss MJ, Kitago M, Poultsides G, Maithel SK, Pulitano C, Lam V, Popescu I, Gleisner A, Hugh T, Shen F, Cauchy F, Koerkamp BG, Endo I, Pawlik TM. Machine learning based prediction model for bile leak following hepatectomy for liver cancer. HPB (Oxford). 2025 Apr; 27(4):489-501.
Score: 0.040
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Endo Y, Tsilimigras DI, Munir MM, Woldesenbet S, Guglielmi A, Ratti F, Marques HP, Cauchy F, Lam V, Poultsides GA, Kitago M, Alexandrescu S, Popescu I, Martel G, Gleisner A, Hugh T, Aldrighetti L, Shen F, Endo I, Pawlik TM. Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma. HPB (Oxford). 2024 Nov; 26(11):1369-1378.
Score: 0.039
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Altaf A, Endo Y, Munir MM, Khan MMM, Rashid Z, Khalil M, Guglielmi A, Ratti F, Marques H, Cauchy F, Lam V, Poultsides G, Kitago M, Popescu I, Martel G, Gleisner A, Hugh T, Shen F, Endo I, Pawlik TM. Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma. HPB (Oxford). 2024 08; 26(8):1040-1050.
Score: 0.038
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Endo Y, Tsilimigras DI, Munir MM, Woldesenbet S, Yang J, Guglielmi A, Ratti F, Marques HP, Cauchy F, Lam V, Poultsides GA, Kitago M, Popescu I, Alexandrescu S, Martel G, Gleisner A, Hugh T, Aldrighetti L, Shen F, Endo I, Pawlik TM. Prognostic significance of postoperative complications for patients with hepatocellular carcinoma relative to alpha-feto protein and tumor burden score. HPB (Oxford). 2024 08; 26(8):998-1006.
Score: 0.038
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Chapman BC, Edgcomb M, Gleisner A, Vogel JD. Outcomes in rectal cancer patients undergoing laparoscopic or robotic low anterior resection compared to open: a propensity-matched analysis of the NCDB (2010-2015). Surg Endosc. 2020 11; 34(11):4754-4771.
Score: 0.028
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Chapman BC, Weyant M, Hilton S, Hosokawa PW, McCarter MD, Gleisner A, Nader ND, Gajdos C. Analysis of the National Cancer Database Esophageal Squamous Cell Carcinoma in the United States. Ann Thorac Surg. 2019 11; 108(5):1535-1542.
Score: 0.027
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Chapman BC, Goodman K, Hosokawa P, Gleisner A, Cowan ML, Birnbaum E, Vogel JD. Improved survival in rectal cancer patients who are treated with long-course versus short-course neoadjuvant radiotherapy: A propensity-matched analysis of the NCDB. J Surg Oncol. 2019 Mar; 119(4):518-531.
Score: 0.026
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Howe J, Fitzpatrick CM, Lakam DR, Gleisner A, Vane DW. Routine repeat brain computed tomography in all children with mild traumatic brain injury may result in unnecessary radiation exposure. J Trauma Acute Care Surg. 2014 Feb; 76(2):292-5; discussion 295-6.
Score: 0.019
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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