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 *

155 related articles for article (PubMed ID: 38182645)

  • 41. An assessment of peripheral vascular disease in patients with diabetic foot ulcer.
    Ikem R; Ikem I; Adebayo O; Soyoye D
    Foot (Edinb); 2010 Dec; 20(4):114-7. PubMed ID: 20951569
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Long-term diabetic complications as predictors of foot ulcers healing failure: A retrospective study in a tertiary-care center.
    Caruso P; Longo M; Gicchino M; Scappaticcio L; Caputo M; Maiorino MI; Bellastella G; Esposito K
    Diabetes Res Clin Pract; 2020 May; 163():108147. PubMed ID: 32302666
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Outcomes of Diabetic Foot Ulcers in a Tertiary Referral Interdisciplinary Clinic: A Retrospective Canadian Study.
    Fournier C; Singbo N; Morissette N; Thibeault MM
    Can J Diabetes; 2021 Apr; 45(3):255-260. PubMed ID: 33160884
    [TBL] [Abstract][Full Text] [Related]  

  • 44. [Neuropad test for sudomotor function to predict the risk of diabetic foot ulceration].
    Qin Y; Cao Y; Gao F; Luo X; Li J; Fu X; Xue Y
    Nan Fang Yi Ke Da Xue Xue Bao; 2014 Apr; 34(4):560-2. PubMed ID: 24752109
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Risk prediction models for diabetic foot ulcer development or amputation: a review of reviews.
    Kaka AS; Landsteiner A; Ensrud KE; Logan B; Sowerby C; Ullman K; Yoon P; Wilt TJ; Sultan S
    J Foot Ankle Res; 2023 Mar; 16(1):13. PubMed ID: 36922851
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Machine learning prediction of diabetic foot ulcers in the inpatient population.
    Stefanopoulos S; Ayoub S; Qiu Q; Ren G; Osman M; Nazzal M; Ahmed A
    Vascular; 2022 Dec; 30(6):1115-1123. PubMed ID: 34461765
    [TBL] [Abstract][Full Text] [Related]  

  • 47. An explainable machine learning model for predicting in-hospital amputation rate of patients with diabetic foot ulcer.
    Xie P; Li Y; Deng B; Du C; Rui S; Deng W; Wang M; Boey J; Armstrong DG; Ma Y; Deng W
    Int Wound J; 2022 May; 19(4):910-918. PubMed ID: 34520110
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Prevalence and risk factors of diabetes foot ulcers in Kano, northwestern Nigeria.
    Aliyu R; Gezawa ID; Uloko AE; Ramalan MA
    Clin Diabetes Endocrinol; 2023 Nov; 9(1):6. PubMed ID: 37964325
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Association between diabetic foot ulcer and diabetic retinopathy.
    Hwang DJ; Lee KM; Park MS; Choi SH; Park JI; Cho JH; Park KH; Woo SJ
    PLoS One; 2017; 12(4):e0175270. PubMed ID: 28388680
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Feasibility and Efficacy of a Smart Mat Technology to Predict Development of Diabetic Plantar Ulcers.
    Frykberg RG; Gordon IL; Reyzelman AM; Cazzell SM; Fitzgerald RH; Rothenberg GM; Bloom JD; Petersen BJ; Linders DR; Nouvong A; Najafi B
    Diabetes Care; 2017 Jul; 40(7):973-980. PubMed ID: 28465454
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Patients' clinical charecteristics and predictors for diabetic foot amputation.
    Sayiner ZA; Can FI; Akarsu E
    Prim Care Diabetes; 2019 Jun; 13(3):247-251. PubMed ID: 30600172
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A Retrospective Review of Adverse Events Related to Diabetic Foot Ulcers.
    Allen L; Powell-Cope G; Mbah A; Bulat T; Njoh E
    Ostomy Wound Manage; 2017 Jun; 63(6):30-33. PubMed ID: 28657897
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Raised serum 25-hydroxyvitamin D levels in patients with active diabetic foot ulcers.
    Afarideh M; Ghanbari P; Noshad S; Ghajar A; Nakhjavani M; Esteghamati A
    Br J Nutr; 2016 Jun; 115(11):1938-46. PubMed ID: 27153203
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Nomogram Prediction for the Risk of Diabetic Foot in Patients With Type 2 Diabetes Mellitus.
    Wang J; Xue T; Li H; Guo S
    Front Endocrinol (Lausanne); 2022; 13():890057. PubMed ID: 35909507
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Dryness of Foot Skin Assessed by the Visual Indicator Test and Risk of Diabetic Foot Ulceration: A Prospective Observational Study.
    Panagoulias GS; Eleftheriadou I; Papanas N; Manes C; Kamenov Z; Tesic D; Bousboulas S; Tentolouris A; Jude EB; Tentolouris N
    Front Endocrinol (Lausanne); 2020; 11():625. PubMed ID: 33013702
    [No Abstract]   [Full Text] [Related]  

  • 56. Incidence of diabetic foot ulcer in Japanese patients with type 2 diabetes mellitus: The Fukuoka diabetes registry.
    Iwase M; Fujii H; Nakamura U; Ohkuma T; Ide H; Jodai-Kitamura T; Sumi A; Komorita Y; Yoshinari M; Kitazono T
    Diabetes Res Clin Pract; 2018 Mar; 137():183-189. PubMed ID: 29382584
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Impact of microvascular complications on the outcomes of diabetic foot in type 2 diabetic patients with documented peripheral artery disease.
    Gazzaruso C; Montalcini T; Gallotti P; Ferrulli A; Massa Saluzzo C; Pujia A; Luzi L; Coppola A
    Endocrine; 2023 Apr; 80(1):71-78. PubMed ID: 36565405
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Correlation between the platelet-to-lymphocyte ratio and diabetic foot ulcer in patients with type 2 diabetes mellitus.
    Zhang K; Ding S; Lyu X; Tan Q; Wang Z
    J Clin Lab Anal; 2021 Apr; 35(4):e23719. PubMed ID: 33507619
    [TBL] [Abstract][Full Text] [Related]  

  • 59. [Development of a Diabetic Foot Ulceration Prediction Model and Nomogram].
    Lee EJ; Jeong IS; Woo SH; Jung HJ; Han EJ; Kang CW; Hyun S
    J Korean Acad Nurs; 2021 Jun; 51(3):280-293. PubMed ID: 34215707
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Machine learning for the prediction of minor amputation in University of Texas grade 3 diabetic foot ulcers.
    Wang S; Wang J; Zhu MX; Tan Q
    PLoS One; 2022; 17(12):e0278445. PubMed ID: 36472981
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.