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    Acupuncture for benign prostatic hyperplasia: A systematic review and meta-analysis

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    This systematic review and meta-analysis aims to assess the therapeutic and adverse effects of acupuncture for benign prostatic hyperplasia (BPH) in randomized controlled trials (RCTs).We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in The Cochrane Library, MEDLINE, EMBASE, the Chinese Biomedical Database, the China National Knowledge Infrastructure, the VIP Database and the Wanfang Database. Parallel-group RCTs of acupuncture for men with symptomatic BPH were included. Data from the included trials were extracted by two independent reviewers and were analyzed with The Cochrane Collaboration Review Manager software (RevMan 5.3.5) after risk of bias judgments. The primary outcome measure of this review was a change in urological symptoms.Eight RCTs, which involved 661 men with BPH, were included. Follow-up varied from 4 weeks to 18 months. Pooling of the data from three trials that compared acupuncture with sham-acupuncture revealed that in the short term (4–6 weeks), acupuncture can significantly improve IPSS (MD -1.90, 95% CI -3.58 to -0.21). A sensitivity analysis of the short-term endpoint showed the same result (MD -3.01, 95% CI -5.19 to -0.84) with a borderline minimal clinical important difference (MCID). Qmax of the short-term endpoint indicated statistically positive beneficial effects of acupuncture (MD -1.78, 95%CI -3.43, -0.14). A meta-analysis after medium-term follow-up (12–18 weeks) indicated no significant effect on IPSS when the data from two trials were combined (MD -2.04, 95% CI -4.19, 0.10).Statistically significant changes were observed in favor of acupuncture in moderate to severe BPH with respect to short-term follow-up endpoints. The clinical significance of these changes needs to be tested by further studies with rigorous designs and longer follow-up times.

    Adaptive geostatistical sampling enables efficient identification of malaria hotspots in repeated cross-sectional surveys in rural Malawi

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    In the context of malaria elimination, interventions will need to target high burden areas to further reduce transmission. Current tools to monitor and report disease burden lack the capacity to continuously detect fine-scale spatial and temporal variations of disease distribution exhibited by malaria. These tools use random sampling techniques that are inefficient for capturing underlying heterogeneity while health facility data in resource-limited settings are inaccurate. Continuous community surveys of malaria burden provide real-time results of local spatio-temporal variation. Adaptive geostatistical design (AGD) improves prediction of outcome of interest compared to current random sampling techniques. We present findings of continuous malaria prevalence surveys using an adaptive sampling design.We conducted repeated cross sectional surveys guided by an adaptive sampling design to monitor the prevalence of malaria parasitaemia and anaemia in children below five years old in the communities living around Majete Wildlife Reserve in Chikwawa district, Southern Malawi. AGD sampling uses previously collected data to sample new locations of high prediction variance or, where prediction exceeds a set threshold. We fitted a geostatistical model to predict malaria prevalence in the area.We conducted five rounds of sampling, and tested 876 children aged 6–59 months from 1377 households over a 12-month period. Malaria prevalence prediction maps showed spatial heterogeneity and presence of hotspots—where predicted malaria prevalence was above 30%; predictors of malaria included age, socio-economic status and ownership of insecticide-treated mosquito nets.Continuous malaria prevalence surveys using adaptive sampling increased malaria prevalence prediction accuracy. Results from the surveys were readily available after data collection. The tool can assist local managers to target malaria control interventions in areas with the greatest health impact and is ready for assessment in other diseases

    contributes to the prognosis of hepatocellular carcinoma

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