Purpose of Review Extracorporeal shock wave lithotripsy success rates depend on several stone and patient-related factors, one of which is stone density which is calculated on computed tomography scan in Hounsfield Units. Studies have shown inverse correlation between SWL success and HU; however, there remains considerable variation between studies. We performed a systematic review regarding the use of HU in SWL for renal calculi to consolidate the current evidence and address current knowledge gaps. Recent Findings Database including MEDLINE, EMBASE, and Scopus were searched from inception through August 2022. Studies in English language analysing stone density/attenuation in adult patients undergoing SWL for renal calculi were included for assessment of Shockwave lithotripsy outcomes, use of stone attenuation to predict success, use of mean and peak stone density and Hounsfield unit density, determination of optimum cut-off values, nomograms/scoring systems, and assessment of stone heterogeneity. 28 studies with a total of 4,206 patients were included in this systematic review with sample size ranging from 30 to 385 patients. Male to female ratio was 1.8, with an average age of 46.3 years. Mean overall ESWL success was 66.5%. Stone size ranged from 4 to 30 mm in diameter. Mean stone density was used by two-third of the studies to predict the appropriate cut-off for SWL success, ranging from 750 to 1000 HU. Additional factors such as peak HU and stone heterogeneity index were also evaluated with variable results. Stone heterogeneity index was considered a better indicator for success in larger stones (cut-off value of 213) and predicting SWL stone clearance in one session. Prediction scores had been attempted, with researchers looking into combining stone density with other factors such as skin to stone distance, stone volume, and differing heterogeneity indices with variable results. Summary Numerous studies demonstrate a link between shockwave lithotripsy outcomes and stone density. Hounsfield unit < 750 has been found to be associated with shockwave lithotripsy success, with likelihood of failure strongly associated with values over 1000. Prospective standardisation of Hounsfield unit measurement and predictive algorithm for shockwave lithotripsy outcome should be considered to strengthen future evidence and help clinicians in the decision making. Trial Registration International Prospective Register of Systematic Reviews (PROSPERO) database: CRD42020224647

Pediatric chronic pain places a significant burden on children, their families, and healthcare services. Effective pain measurement is needed for both clinical management and research. Digital pain measurement tools have been developed for adult and adolescent populations however less is known about measurement in younger children. In this systematic review, we aimed to identify, describe, and evaluate (in terms of acceptability) digital tools for the assessment of chronic pain in children (5–11 years). We searched five databases (Cochrane Library, EMBASE, MEDLINE, PsycINFO, and CINAHL), between January 2014 and January 2022. We included empirical studies which included digital tool/s to assess pain in children aged between 5–11 years with chronic pain conditions. We independently double‐screened the papers to determine eligibility. We followed PRISMA guidelines for reporting. A total of five papers, covering four digital tools, were included. The digital tools used ranged from a static online survey to a highly interactive, personalized tablet application. Two studies were cross‐sectional and two collected longitudinal pain data via electronic devices outside the clinical setting. Digital features of the tools included: dynamic testing (n = 2), notifications/prompts (n = 1), data transmission (n = 1), remote monitoring (n = 1), accessibility (n = 1), data visualization/feedback (n = 1), personalization/customization (n = 1), gamification (n = 1) and data labeling (n = 1). Qualitative usability data was only available for one of the tools, which indicated its acceptability and highlighted preferred features/functions by child users (creative and personalizable features, gamification features), and parental users (symptom tracking). This review has highlighted the limited number of digital assessment tools available for children with chronic pain aged 5–11. This review identified some examples of technology enabling the capture of longitudinal, repeated measurement of multiple dimensions of pain (intensity, location, quality). We suggest directions for future research.

No abstract