257 related articles for article (PubMed ID: 31926676)
1. A simple nomogram for predicting early complications in patients after primary knee arthroplasty.
Xie C; Li Q
Knee; 2020 Mar; 27(2):518-526. PubMed ID: 31926676
[TBL] [Abstract][Full Text] [Related]
2. Prediction of 90-Day Local Complications in Patients After Total Knee Arthroplasty: A Nomogram With External Validation.
Xie C; Ou S; Lin Z; Zhang J; Li Q; Lin L
Orthop J Sports Med; 2022 Feb; 10(2):23259671211073331. PubMed ID: 35224115
[TBL] [Abstract][Full Text] [Related]
3. Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model.
Muertizha M; Cai X; Ji B; Aimaiti A; Cao L
J Orthop Surg Res; 2022 Jul; 17(1):367. PubMed ID: 35902950
[TBL] [Abstract][Full Text] [Related]
4. Development and Internal Validation of a Nomogram to Predict Post-Stroke Fatigue After Discharge.
Su Y; Yuki M; Hirayama K; Otsuki M
J Stroke Cerebrovasc Dis; 2021 Feb; 30(2):105484. PubMed ID: 33253982
[TBL] [Abstract][Full Text] [Related]
5. A nomogram to predict major complications after hip and knee arthroplasty.
Wuerz TH; Kent DM; Malchau H; Rubash HE
J Arthroplasty; 2014 Jul; 29(7):1457-62. PubMed ID: 24793891
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a nomogram to predict perioperative blood transfusion in patients undergoing total knee arthroplasty.
Hu C; Wang YH; Shen R; Liu C; Sun K; Ye L; Ye JJ; Yang X; Tian SQ; Yu TB
BMC Musculoskelet Disord; 2020 May; 21(1):315. PubMed ID: 32434505
[TBL] [Abstract][Full Text] [Related]
7. Predicting treatment failure risk in a Chinese Drug-Resistant Tuberculosis with surgical therapy: Development and assessment of a new predictive nomogram.
Wu L; Chang W; Song Y; Wang L
Int J Infect Dis; 2020 Jul; 96():88-93. PubMed ID: 32205286
[TBL] [Abstract][Full Text] [Related]
8. Application of a Nomogram for Predicting the Risk of Subchorionic Hematoma in Early Pregnancy With In Vitro Fertilization-Embryo Transfer/Frozen Embryo Transfer.
Yue M; Ma L; Cao Y; Zhai J
Front Endocrinol (Lausanne); 2021; 12():631097. PubMed ID: 33737911
[TBL] [Abstract][Full Text] [Related]
9. Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?
Harris AHS; Kuo AC; Weng Y; Trickey AW; Bowe T; Giori NJ
Clin Orthop Relat Res; 2019 Feb; 477(2):452-460. PubMed ID: 30624314
[TBL] [Abstract][Full Text] [Related]
10. Development of a Prognostic Nomogram for Predicting the Probability of Nonresponse to Total Knee Arthroplasty 1 Year After Surgery.
Dowsey MM; Spelman T; Choong PF
J Arthroplasty; 2016 Aug; 31(8):1654-60. PubMed ID: 26935945
[TBL] [Abstract][Full Text] [Related]
11. Development and Internal Validation of a Nomogram for Predicting Postoperative Cardiac Events in Elderly Hip Fracture Patients.
Liu Y; Liu H; Zhang F
Clin Interv Aging; 2023; 18():2063-2078. PubMed ID: 38107187
[TBL] [Abstract][Full Text] [Related]
12. Predicting Selection Preference of Robotic Pancreaticoduodenectomy (RPD) in a Chinese Single Center Population: Development and Assessment of a New Predictive Nomogram.
Huo Z; Shi Z; Zhai S; Li J; Qian H; Tang X; Weng Y; Shi Y; Wang L; Wang Y; Deng X; Shen B
Med Sci Monit; 2019 Oct; 25():8034-8042. PubMed ID: 31654999
[TBL] [Abstract][Full Text] [Related]
13. Predicting prolonged postoperative length of stay risk in patients undergoing lumbar fusion surgery: Development and assessment of a novel predictive nomogram.
Lu CX; Huang ZB; Chen XM; Wu XD
Front Surg; 2022; 9():925354. PubMed ID: 36051703
[TBL] [Abstract][Full Text] [Related]
14. Development and Internal Validation of Model Predicting Postoperative Blood Loss Risk Among Children with Pulmonary Atresia Undergoing Cardiopulmonary Bypass.
Shen R; Wang X; Lu Z
Pediatr Cardiol; 2021 Jan; 42(1):47-58. PubMed ID: 32886153
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a machine learning-based model for postoperative ischemic stroke in middle-aged and elderly patients with hip or knee arthroplasty.
Dai D; Tu S; Gao Z
Medicine (Baltimore); 2022 Jul; 101(30):e29542. PubMed ID: 35905266
[TBL] [Abstract][Full Text] [Related]
16. A novel nomogram to predict the risk of anastomotic leakage in patients after oesophagectomy.
Huang C; Yao H; Huang Q; Lu H; Xu M; Wu J
BMC Surg; 2020 Apr; 20(1):64. PubMed ID: 32252738
[TBL] [Abstract][Full Text] [Related]
17. [Establishment of a nomogram predicting risk factors of postoperative perineal wound complications after abdominoperineal resection for rectal cancer].
Lu SQ; Chang XF; Yang XD; Yu DC; Huang QG; Wang F
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 Apr; 22(4):357-363. PubMed ID: 31054550
[No Abstract] [Full Text] [Related]
18. Prediction of early functional outcomes in patients after robotic-assisted total knee arthroplasty: a nomogram prediction model.
Duan X; Zhao Y; Zhang J; Kong N; Cao R; Guan H; Li Y; Wang K; Yang P; Tian R
Int J Surg; 2023 Oct; 109(10):3107-3116. PubMed ID: 37352526
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a nomogram for determining patients requiring prolonged postanesthesia care unit length of stay after laparoscopic cholecystectomy.
Cao B; Li L; Su X; Zeng J; Guo W
Ann Palliat Med; 2021 May; 10(5):5128-5136. PubMed ID: 33977750
[TBL] [Abstract][Full Text] [Related]
20. A novel nomogram for predicting the risk of major complications after pancreaticoduodenectomy in patients with obstructive jaundice.
Shen Z; Xu Z; Wang W; Xu W; Zhou Y; Lu X; Deng X; Weng Y; Shen B
Clin Chim Acta; 2021 Jun; 517():162-170. PubMed ID: 33711328
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]