 Connection
Ana Gleisner to Risk Assessment
This is a "connection" page, showing publications Ana Gleisner has written about Risk Assessment.
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0.741 |
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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: 0.334
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Gleisner AL, Mu?oz A, Brandao A, Marroni C, Zanotelli ML, Cantisani GG, Moreira LB, Choti MA, Pawlik TM. Survival benefit of liver transplantation and the effect of underlying liver disease. Surgery. 2010 Mar; 147(3):392-404.
Score: 0.042
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Kawashima J, Akabane M, Khalil M, Woldesenbet S, Endo Y, Sahara K, Ruzzenente A, Ratti F, Marques HP, Oliveira S, Balaia J, Cauchy F, Lam V, Poultsides GA, Kitago M, Popescu I, Martel G, Gleisner A, Hugh T, Weiss M, Aucejo F, Aldrighetti L, Endo I, Pawlik TM. Model of End-Stage Liver Disease-alpha-fetoprotein-tumor burden (MELD-AFP-TBS) score to stratify prognosis after liver resection for hepatocellular carcinoma. Surgery. 2025 Jul; 183:109388.
Score: 0.031
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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: 0.030
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Akabane M, Kawashima J, Altaf A, Woldesenbet S, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM. Dynamic ALBI score and FIB-4 index trends to predict complications after resection of hepatocellular carcinoma: A K-means clustering approach. Eur J Surg Oncol. 2025 Jun; 51(6):109723.
Score: 0.030
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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: 0.030
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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: 0.030
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Altaf A, Khalil M, Akabane M, Rashid Z, Kawashima J, Zindani S, Ruzzenente A, Ratti F, Marques H, Cauchy F, Lam V, Poultsides G, Aucejo F, Kitago M, Popescu I, Martel G, Gleisner A, Bauer TW, Hugh T, Bhimani N, Shen F, Endo I, Pawlik TM. Up-front resection for hepatocellular carcinoma: Assessing futility in the preoperative setting. Eur J Surg Oncol. 2025 May; 51(5):109594.
Score: 0.030
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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: 0.030
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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: 0.029
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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: 0.029
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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: 0.029
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Stuart CM, Bronsert MR, Meguid RA, Mott NM, Abrams BA, Dyas AR, Gleisner AL, Colborn KL, Henderson WG. The deimplementation of laboratory testing in low-risk patients as recommended by the American society of anesthesiologists: An ACS-NSQIP longitudinal analysis. World J Surg. 2024 05; 48(5):1014-1024.
Score: 0.028
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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: 0.014
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Krieger AR, Wills HE, Green MC, Gleisner AL, Vane DW. Efficacy of anatomic and physiologic indicators versus mechanism of injury criteria for trauma activation in pediatric emergencies. J Trauma Acute Care Surg. 2012 Dec; 73(6):1471-7; discussion 1477.
Score: 0.013
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Hatzaras I, Gleisner AL, Pulitano C, Sandroussi C, Hirose K, Hyder O, Wolfgang CL, Aldrighetti L, Crawford M, Choti MA, Pawlik TM. A multi-institution analysis of outcomes of liver-directed surgery for metastatic renal cell cancer. HPB (Oxford). 2012 Aug; 14(8):532-8.
Score: 0.013
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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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