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  1. Fulltext Efficacy of Low-Carbohydrate Ketogenic Diet as an Adjuvant Cancer Therapy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Yang YF, Mattamel PB, Joseph T, Huang J, Chen Q, Akinwunmi BO, et al.
    Nutrients, 2021 Apr 21;13(5).
    PMID: 33918992 DOI: 10.3390/nu13051388
    BACKGROUND: The role of low-carbohydrate ketogenic diet (LCKD) as an adjuvant therapy in antitumor treatment is not well established. This systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to investigate the efficacy of LCKD as an adjuvant therapy in antitumor treatment compared to non-ketogenic diet in terms of lipid profile, body weight, fasting glucose level, insulin, and adverse effects; Methods: In this study, databases such as PubMed, Web of Science, Scopus, CINAHL, and Cochrane trials were searched. Only RCTs that involved cancer participants that were assigned to dietary interventions including a LCKD group and a control group (any non-ketogenic dietary intervention) were selected. Three reviewers independently extracted the data, and the meta-analysis was performed using a fixed effects model or random effects model depending on the I2 value or p-value; Results: A total of six articles met the inclusion/exclusion criteria. In the overall analysis, the post-intervention results = standard mean difference, SMD (95% CI) showed total cholesterol (TC) level = 0.25 (-0.17, 0.67), HDL-cholesterol = -0.07 (-0.50, 0.35), LDL-cholesterol = 0.21 (-0.21, 0.63), triglyceride (TG) = 0.09 (-0.33, 0.51), body weight (BW) = -0.34 (-1.33, 0.65), fasting blood glucose (FBG) = -0.40 (-1.23, 0.42) and insulin = 0.11 (-1.33, 1.55). There were three outcomes showing significant results in those in LCKD group: the tumor marker PSA, p = 0.03, the achievement of ketosis p = 0.010, and the level of satisfaction, p = 0.005; Conclusions: There was inadequate evidence to support the beneficial effects of LCKDs on antitumor therapy. More trials comparing LCKD and non-KD with a larger sample size are necessary to give a more conclusive result.
  2. Fulltext The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis
    He Z, Chin Y, Yu S, Huang J, Zhang CJP, Zhu K, et al.
    JMIR Public Health Surveill, 2021 Jan 25;7(1):e20495.
    PMID: 33232262 DOI: 10.2196/20495
    BACKGROUND: The influence of meteorological factors on the transmission and spread of COVID-19 is of interest and has not been investigated.

    OBJECTIVE: This study aimed to investigate the associations between meteorological factors and the daily number of new cases of COVID-19 in 9 Asian cities.

    METHODS: Pearson correlation and generalized additive modeling (GAM) were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity) with the most updated data currently available.

    RESULTS: The Pearson correlation showed that daily new confirmed cases of COVID-19 were more correlated with the average temperature than with relative humidity. Daily new confirmed cases were negatively correlated with the average temperature in Beijing (r=-0.565, P

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