Kevin Owen et al., 2024: Role of Noncontrast Computed Tomography Parameters in Predicting the Outcome of Extracorporeal Shock Wave Lithotripsy for Upper Urinary Stones Cases: A Meta-analysis
Kevin Owen 1, Wilbert Joe 2, Alvin Ivander 3, I Nyoman Palgunadi 4, Kharisma Prasetya Adhyatma 5
1Bangli General Hospital, Bangli, Indonesia (K.O.).
2Regional Public Hospital dr.M. Thomsen Nias, Gunungsitoli, Indonesia (W.J.).
3Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia (A.I.).
4Urology Division, Bangli General Hospital, Bangli, Indonesia (I.P.).
5Department of Surgery, Urology Division, Universitas Sumatera Utara, Medan, Indonesia (K.P.A).
Abstract
Rationale: Extracorporeal shock wave lithotripsy (ESWL) is widely considered the primary approach for managing urinary tract stones. This study aimed to assess the predictive factors associated with non-contrast computed tomography (NCCT)-based parameters of upper urinary stones in relation to the outcomes of ESWL.
Materials and methods: A systematic search was conducted in PubMed, ScienceDirect, Web of Science, and Cochrane Library to identify all relevant studies published up to June 3, 2023. Several NCCT-based parameters to predict ESWL outcomes, comprised of mean stone density (MSD), skin-to-stone distance (SSD), and stone size, were extracted and analyzed using Review Manager software.
Results: Out of 979 publications screened, a total of 39 publications, involving 7869 patients, were enrolled in the analysis. The pooled estimate demonstrated significant differences between MSD, and stone size between successful and failure of stone fragmentation groups, in which lower values of these parameters are associated with successful ESWL outcomes.
Conclusion: The results from the current study suggested that lower NCCT parameters, notably MSD, SSD, and stone size, are significantly associated with successful ESWL outcome. However, additional large-scale prospective studies are required to utilize these parameters effectively, and the optimal cutoff value should be determined.
Acad Radiol. 2024 Aug;31(8):3282-3296. doi: 10.1016/j.acra.2023.10.021. Epub 2023 Nov 18.
PMID: 37985292
Comments 1
Probably in the future there will be a lot of KI-driven articles like this one leading to the same, already known conclusions.
Today my comment to the first sentence in the conclusions is: Yes, it is known;
to the second sentence it is: Please not. If there is nothing new allowing a different view on the effect of ESWL please don’t waste paper and readers time.
Peter Alken