This study aimed to evaluate and compare the effects of extracorporeal shock wave therapy (ESWT) and conventional wound therapy (CWT) for acute and chronic soft tissue wounds. All English‐language articles on ESWT for acute and chronic soft tissue wounds indexed in PubMed, Medline, Embase, Cochrane Central Register of Controlled Trials, Cochrane Library, Physiotherapy Evidence Database, and HealthSTAR published prior to June 2017 were included, as well as corresponding articles cited in reference lists of related review articles. The methodological quality of the selected studies was assessed with the Cochrane Collaboration's “risk of bias” tool. Study design, subject demographics, wound aetiology, treatment protocols, assessment indexes, and follow‐up duration were extracted. The fixed or random‐effects model was used to calculate the pooled effect sizes according to studies’ heterogeneity. Ten randomised controlled trials (RCTs) involving 473 patients were included in this systematic review and meta‐analysis. The meta‐analysis showed that ESWT statistically significantly increased the healing rate of acute and chronic soft tissue wounds 2.73‐fold (odds ratio, OR = 3.73, 95% confidence interval, CI: 2.30‐6.04, P < .001) and improved wound‐healing area percentage by 30.45% (Standardized Mean Difference (SMD) = 30.45; 95% CI: 23.79‐37.12; P < .001). ESWT reduced wound‐healing time by 3 days (SMD = −2.86, 95% CI:‐3.78 to −1.95, P < .001) for acute soft tissue wounds and 19 days (SMD = −19.11, 95% CI: −23.74 to −14.47, P < .001) for chronic soft tissue wounds and the risk of wound infection by 53% (OR = 0.47, 95% CI: 0.24‐0.92, P = .03) when compared with CWT alone. Serious adverse effects were not reported. ESWT showed better therapeutic effects on acute and chronic soft tissue wounds compared with CWT alone. However, higher‐quality and well‐controlled RCTs are needed to further assess the role of ESWT for acute and chronic soft tissue wounds.

No previous studies have investigated whether additional telephone follow-up counseling sessions after face-to-face counseling can increase quitting in China, and whether this strategy is feasible and effective for promoting smoking cessation is still unclear. A non-randomized controlled study was conducted in Beijing. We compared the quit rates of one group which received face-to-face counseling (FC) alone (one session of 40 min) to another group which received the same face-to-face counseling plus four follow-up sessions of brief telephone counseling (15–20 min each) at 1 week, 1, 3 and 6 month follow-up (FCF). No smoking cessation medication was provided. From October 2008 to August 2013, Chinese male smokers who sought treatment in a part-time regular smoking cessation clinic of a large general hospital in Beijing were invited to participate in the present study. Eligible male smokers (n = 547) were divided into two groups: FC (n = 149) and FCF (n = 398). Main outcomes were self-reported 7-day point prevalence and 6 month continuous quit rates at 12 month follow-up. By intention to treat, at 12 month follow-up, the 7-day point prevalence and 6 month continuous quit rates of FC and FCF were 14.8 % and 26.4 %, and 10.7 % and 19.6 % respectively. The adjusted odds ratios (95 % confidence intervals) of quitting in FCF compared to FC was 2.34 (1.34–4.10) (P = 0.003) and 2.41 (1.28–4.52) (P = 0.006), respectively. Stepwise logistic regression showed that FCF, being married, unemployed and a lower Fagerström score were significant independent predictors of 6 month continuous quitting at 12 month follow-up. Using systematically collected data from real-world practice, our smoking cessation clinic has shown that the additional telephone follow-up counseling sessions doubled the quit rate.

Genome-wide physical protein–protein interaction (PPI) mapping remains a major challenge for current technologies. Here, we reported a high-efficiency BiFC-seq method, yeast-enhanced green fluorescent protein-based bimolecular fluorescence complementation (yEGFP-BiFC) coupled with next-generation DNA sequencing, for interactome mapping. We first applied yEGFP-BiFC method to systematically investigate an intraviral network of the Ebola virus. Two-thirds (9/14) of known interactions of EBOV were recaptured, and five novel interactions were discovered. Next, we used the BiFC-seq method to map the interactome of the tumor protein p53. We identified 97 interactors of p53, more than three-quarters of which were novel. Furthermore, in a more complex background, we screened potential interactors by pooling two BiFC libraries together and revealed a network of 229 interactions among 205 proteins. These results show that BiFC-seq is a highly sensitive, rapid, and economical method for genome-wide interactome mapping.