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ly, a baseline cortisol level of ≥226 nmol/L is a reliable threshold for determining adequate adrenal function, particularly with a low pretest hypoadrenalism probability.
The efficacy of gefitinib supplementation for breast cancer remains controversial. We conduct a systematic review and meta-analysis to explore the influence of gefitinib supplementation vs placebo on the efficacy of breast cancer.
We have searched PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through February 2019 and included randomized controlled trials assessing the effect of gefitinib supplementation vs placebo on overall response for breast cancer patients. This meta-analysis was performed using the random-effect model.
Seven randomized controlled trials involving 927 patients were included in the meta-analysis. Overall, compared with control group for breast cancer, gefitinib supplementation revealed no obvious impact on complete response (risk ration [RR] = 1.19; 95% confidence interval [CI] = 0.58 to 2.44; P = .63), progressive disease (RR = 0.81; 95% CI = 0.59-1.11; P = .18), partial response (RR = 0.67; 95% CI = 0.36-1.25; P = .21), stable disease (RR = 1.02; 95% CI = 0.65-1.60; P = .92), nausea or vomiting (RR = 0.99; 95% CI = 0.73-1.33; P = .93), but was associated with increased incidence of diarrhea (RR = 2.80; 95% CI = 2.23-3.52; P < .00001), decreased incidence of hot flash (RR = 0.53; 95% CI = 0.37-0.78; P = .001), and improved incidence of adverse events (RR = 1.12; 95% CI = 1.05-1.19; P = .0006).
Gefitinib supplementation may provide no positive effect on complete response, progressive disease, partial response or stable disease for breast cancer patients, but with the increase in adverse events.
Gefitinib supplementation may provide no positive effect on complete response, progressive disease, partial response or stable disease for breast cancer patients, but with the increase in adverse events.The aim of this study was to investigate the epidemiological characteristics and profile of drug-resistant tuberculosis (DR-TB) among children with TB in Sichuan province of China.From January 2015 to December 2018, microbiological culture-confirmed child TB cases (aged less then 15 years old) were enrolled retrospectively. Epidemiological and clinical information from these cases, and the drug susceptibility testing results of the isolates were collected and analyzed.Of 317 culture-confirmed child TB cases, 16.7% (53/317) were aged under 5 years old. 54.9% were Tibetans, and 31.9% had clear history of contact with TB patients. More than half (53.9%) were not vaccinated by Calmette-Guérin bacillus (BCG). Thirty percent (n = 95) were diagnosed as severe TB, and 92.4% (n = 293) were new cases. Selinexor solubility dmso The ratio of severe TB in BCG vaccinated group was significant lower than that observed in unvaccinated group (P less then .01). Significantly higher proportion of severe TB among Tibetans than Han child TB cases was observed in BCG unvaccinated group (P less then .01). The overall rate of DR-TB in this study was 24.3% (77/317) and 17 multidrug-resistant tuberculosis (MDR-TB) cases were identified with rate of MDR-TB at 5.4% (17/317). No extensively drug-resistant case was found. Thirteen out of 17 MDR-TB cases (76.4%) were Tibetan children. The ratio of any resistance to 4 first-line drugs identified were isoniazid (INH), 15.5%; rifampicin (RIF), 9.1%; ethambutol, 0.6% and streptomycin, 6.0%, respectively. More than half of MDR patterns were resistant to INH + RIF (9/17), followed by at least resistance to INH + RIF + streptomycin (n = 7).This was the first investigation on the epidemiological characteristics and profiles of DR-TB among child TB cases in Southwest of China. Our findings indicated a potentially high risk of TB infection to Tibetan children in the concentrated Tibetan communities of Sichuan.
Malnutrition is a clinical problem with a high prevalence in hospitalized adult patients. Many nutritional screening tools have been developed but there is no consensus on which 1 is more useful. The purpose of this review protocol is to provide an overview of which nutritional screening tool is most valid to identify malnutritional risk in hospitalized adult patients and to analyze the sensitivity and specificity of the different tools.
The protocol of this systematic review and meta-analysis was registered on the INPLASY website (https//inplasy.com/inplasy-2020-9-0028/) and INPLASY registration number is INPLASY202090028. We will perform a systematic literature search of main databases PubMed, EMBASE, CINAHL and Web of Science and the Cochrane database. Also, grey literature will be search. Peer-reviewed studies published in English, Portuguese or Spanish language will be selected. Screening of titles, abstract and full text will be assessed for eligibility by 2 independent blinded reviewers and any discrepancies will be resolved via consensus. After screening the studies, a meta-analysis will be conducted, if it is possible.
Results from this systematic review will help health professionals to identify malnutrition in hospitalized patients and to make decisions to prevent or treat it as well as provide new clues to researchers.
Our systematic review will provide aknowledge about the most valid malnutrition risk screening tool in hospitalized adult patients.
Our systematic review will provide aknowledge about the most valid malnutrition risk screening tool in hospitalized adult patients.
COVID-19 is now a global pandemic. Although there are very few studies describing the characteristics of SARS-CoV-2 infections in patients with prostate cancer, these patients are likely to be more susceptible to COVID-19 than healthy people because of their immunosuppressed state. However, there is no evidence that prostate cancer is a risk factor for COVID-19.
We searched the Wanfang database, the China Science Journal Citation Report (VIP database), the China National Knowledge Infrastructure (CNKI), Web of Science, EMBASE, PubMed, and the Cochrane Library for studies related to the topic. We designed a standardized data extraction sheet and used Epidata software 3.1 for data extraction. In accordance with the Cochrane 5.1.0 standard, both a quality assessment and a risk assessment were carried out for the research meeting the inclusion criteria. The data were analyzed using Revman 5.3 and Stata 13.0 software.
The study integrated existing research findings and a meta-analysis of the data to investigate the prevalence of prostate cancer in males infected with SARS-CoV-2 and the adverse clinical outcomes in male patients with or without COVID-19.
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