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Mikhailov V.G.

Sverdlovsk Regional Clinical Hospital No. 1, Ekaterinburg, Russia

Ranking of mechanical thromboprophylaxis methods in surgery: a network meta-analysis

Authors:

Mikhailov V.G.

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To cite this article:

Mikhailov VG. Ranking of mechanical thromboprophylaxis methods in surgery: a network meta-analysis. Medical Technologies. Assessment and Choice. 2026;48(1):143‑152. (In Russ.)
https://doi.org/10.17116/medtech202648011143

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References:

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  2. Kim NY, Ryu S, Kim YH. Effects of intermittent pneumatic compression devices interventions to prevent deep vein thrombosis in surgical patients: A systematic review and meta-analysis of randomized controlled trials. PLoS One. 2024;19(7):e0307602. https://doi.org/10.1371/journal.pone.0307602
  3. Rabe E, Partsch H, Morrison N, Meissner MH, Mosti G, Lattimer CR, et al. Risks and contraindications of medical compression treatment — A critical reappraisal. An international consensus statement. Phlebology. 2020;35(7):447-460.  https://doi.org/10.1177/0268355520909066
  4. Yang J, Qi H, Huang J, Xu M, Xue Z, Wang Y. Effectiveness of neuromuscular electrical stimulation on venous thromboprophylaxis in surgical patients: A systematic review and meta-analysis. Complementary Therapies in Clinical Practice. 2025;58:101932. https://doi.org/10.1016/j.ctcp.2024.101932
  5. Seliverstov EI, Lobastov KV, Ilyukhin EA, Apkhanova TV, Akhmetzyanov RV, Akhtyamov IF, et al. Prevention, Diagnostics and Treatment of Deep Vein Thrombosis. Russian Experts Consensus. Journal of Venous Disorders. 2023;17(3):152-296. (In Russ.). https://doi.org/10.17116/flebo202317031152
  6. Summers JA, Clinch J, Radhakrishnan M, Healy A, McMillan V, Morris E, et al. The geko™ electro-stimulation device for venous thromboembolism prophylaxis: a NICE medical technology guidance. Applied Health Economics and Health Policy. 2015;13(2):135-147.  https://doi.org/10.1007/s40258-014-0139-0
  7. Hajibandeh S, Hajibandeh S, Antoniou GA, Scurr JR, Torella F. Neuromuscular electrical stimulation for the prevention of venous thromboembolism. Cochrane Database Syst Rev. 2017;21(11):CD011764. https://doi.org/10.1002/14651858.CD011764.pub2
  8. Bogdanov AA, Bogdanov AnA. Network meta-analysis for clinicians. Sovremennaya onkologiya. 2021;23(3):418-424. (In Russ.). https://doi.org/10.26442/18151434.2021.3.201202
  9. Bartlett MA, Mauck KF, Stephenson ChR, Ganesh R, Daniels PR. Perioperative Venous Thromboembolism Prophylaxis. Mayo Clinic Proceedings. 2020;95(12):2775-2798. https://doi.org/10.1016/j.mayocp.2020.06.015
  10. Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, et al. CINeMA: An approach for assessing confidence in the results of a network meta-analysis. PLoS Med. 2020;17(4):e1003082. https://doi.org/10.1371/journal.pmed.1003082
  11. Balduzzi S, Rücker G, Nikolakopoulou A, Papakonstantinou T, Salanti G, Efthimiou O, et al. netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods. Journal of Statistical Software. 2023;106(2):1-40.  https://doi.org/10.18637/jss.v106.i02
  12. Brignardello-Petersen R, Florez ID, Izcovich A, Santesso N, Hazlewood G, Alhazanni W, et al. GRADE working group. GRADE approach to drawing conclusions from a network meta-analysis using a minimally contextualised framework. BMJ. 2020;371:m3900. https://doi.org/10.1136/bmj.m3900
  13. Izcovich A, Chu DK, Mustafa RA, Guyatt G, Brignardello-Petersen R. A guide and pragmatic considerations for applying GRADE to network meta-analysis. BMJ. 2023;381:e074495. https://doi.org/10.1136/bmj-2022-074495

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