These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

437 related articles for article (PubMed ID: 34095176)

  • 41. Establishment and Validation of a Nomogram for Tonsil Squamous Cell Carcinoma: A Retrospective Study Based on the SEER Database.
    Li C; Yang J; Zheng S; Xu F; Han D; Bai L; Wei YL; Wang S; Lyu J
    Cancer Control; 2020; 27(1):1073274820960481. PubMed ID: 32951460
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Prognostic value of an inflammatory biomarker-based clinical algorithm in septic patients in the emergency department: An observational study.
    Zhao C; Wei Y; Chen D; Jin J; Chen H
    Int Immunopharmacol; 2020 Mar; 80():106145. PubMed ID: 31955067
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Development and validation of a nomogram to predict overall survival for patients with metastatic renal cell carcinoma.
    Zheng W; Zhu W; Yu S; Li K; Ding Y; Wu Q; Tang Q; Zhao Q; Lu C; Guo C
    BMC Cancer; 2020 Nov; 20(1):1066. PubMed ID: 33148204
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Development of a nomogram for predicting in-hospital mortality in patients with liver cirrhosis and sepsis.
    Lin HR; Liao QX; Lin XX; Zhou Y; Lin JD; Xiao XJ
    Sci Rep; 2024 Apr; 14(1):9759. PubMed ID: 38684696
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Establishment of a mortality risk nomogram for predicting in-hospital mortality of sepsis: cohort study from a Chinese single center.
    Wu H; Jia S; Liao B; Ji T; Huang J; Luo Y; Cao T; Ma K
    Front Med (Lausanne); 2024; 11():1360197. PubMed ID: 38765257
    [TBL] [Abstract][Full Text] [Related]  

  • 46. One-year mortality prediction for patients with sepsis: a nomogram integrating lactic dehydrogenase and clinical characteristics.
    Wang J; Fei W; Song Q
    BMC Infect Dis; 2023 Oct; 23(1):668. PubMed ID: 37807068
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis.
    Che D; Hu J; Zhu J; Lyu J; Zhang X
    BMC Med Inform Decis Mak; 2024 Mar; 24(1):84. PubMed ID: 38515185
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Development of a risk nomogram predicting urinary tract infection in patients with indwelling urinary catheter after radical surgery for cervical cancer.
    Wang F; Wang X; Shi Y; Li L; Zheng Y; Liu H; Zeng M; Jiang F; Wu Z
    Prog Urol; 2023 Sep; 33(10):492-502. PubMed ID: 37634960
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Lung Metastasis Probability in Ewing Sarcoma: A Nomogram Based on the SEER Database.
    Wang J; Fan Y; Xia L
    Curr Oncol; 2020 Dec; 28(1):69-77. PubMed ID: 33704176
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A prognostic model for elderly patients with squamous non-small cell lung cancer: a population-based study.
    Chen S; Gao C; Du Q; Tang L; You H; Dong Y
    J Transl Med; 2020 Nov; 18(1):436. PubMed ID: 33198777
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Development of a predictive nomogram for 28-day mortality risk in non-traumatic or post-traumatic subarachnoid hemorrhage patients.
    Miao G; Cai Z; He X; Yang J; Zhang Y; Ma A; Zhao X; Tan M
    Neurol Sci; 2024 May; 45(5):2149-2163. PubMed ID: 37994964
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Development of a nomogram to predict 30-day mortality of patients with sepsis-associated encephalopathy: a retrospective cohort study.
    Yang Y; Liang S; Geng J; Wang Q; Wang P; Cao Y; Li R; Gao G; Li L
    J Intensive Care; 2020; 8():45. PubMed ID: 32637121
    [TBL] [Abstract][Full Text] [Related]  

  • 53. A novel risk-predicted nomogram for sepsis associated-acute kidney injury among critically ill patients.
    Yang S; Su T; Huang L; Feng LH; Liao T
    BMC Nephrol; 2021 May; 22(1):173. PubMed ID: 33971853
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Development and Validation of a Nomogram for Predicting Survival in Male Patients With Breast Cancer.
    Chen S; Liu Y; Yang J; Liu Q; You H; Dong Y; Lyu J
    Front Oncol; 2019; 9():361. PubMed ID: 31139562
    [TBL] [Abstract][Full Text] [Related]  

  • 55. A New Nomogram for Predicting 30-Day In-Hospital Mortality Rate of Acute Cholangitis Patients in the Intensive Care Unit.
    Pan LN; Pan SA; Hong GL; Chen KW
    Emerg Med Int; 2023; 2023():9961438. PubMed ID: 37599814
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A new nomogram to predict in-hospital mortality in patients with acute decompensated chronic heart failure and diabetes after 48 Hours of Intensive Care Unit.
    Liu L; Feng L; Lu C; Zhang J; Zhao Y; Che L
    BMC Cardiovasc Disord; 2024 Apr; 24(1):199. PubMed ID: 38582861
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit.
    Peng JC; Wu Y; Xing SP; Zhu ML; Gao Y; Li W
    Clin Exp Nephrol; 2023 Nov; 27(11):951-960. PubMed ID: 37498349
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Net benefit of routine urine parameters for urinary tract infection screening: a decision curve analysis.
    Han YQ; Zhang L; Wang JR; Xu SC; Hu ZD
    Ann Transl Med; 2020 May; 8(9):601. PubMed ID: 32566627
    [TBL] [Abstract][Full Text] [Related]  

  • 59. An early warning model for predicting major adverse kidney events within 30 days in sepsis patients.
    Yu X; Xin Q; Hao Y; Zhang J; Ma T
    Front Med (Lausanne); 2023; 10():1327036. PubMed ID: 38469459
    [TBL] [Abstract][Full Text] [Related]  

  • 60. [Establishment of a predictive nomogram model for predicting the death of very preterm infants during hospitalization].
    Jue ZZ; Song J; Zhou ZY; Li WD; Yue YY; Xu FL
    Zhongguo Dang Dai Er Ke Za Zhi; 2022 Jun; 24(6):654-661. PubMed ID: 35762432
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 22.