Women's Perceptions of Breastfeeding Barriers in Early Postpartum Period: A Qualitative Analysis Nested in Two Randomized Controlled Trials

Objective: This study aims to determine the effect of kangaroo mother care applied to the healthy newborns in the early postpartum period on breastfeeding. Methods: Our research was conducted over the period June 1 - August 25, 2016 at the obstetrics and maternity units in Istanbul. A of 112 healthy newborns and their mothers (56 in the study group and 56 in the control group) were recruited into a randomized controlled experimental study. The newborns in the study group were administered kangaroo mother care for 3 hours after birth while the control group of newborns was cared for using the unit’s standard postpartum procedures. The time the newborns in the study and control groups first started to breastfeed, the number of breastfeeding within the first 24 hours, the duration of their breastfeeding and suckling skills were evaluated. Results: It was found that newborns subjected to kangaroo mother care provided immediately after delivery started suckling at the breast sooner (P = .001), for a longer period (P = .001) and more frequently (P = .001) than the newborns provided with standard post-delivery care. While there was no difference between the groups in terms of initial suckling skills (P = .862), the newborns in the kangaroo mother care group were better at suckling in the 24th hour (P = .001). Continuous...

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Cupping Therapy for Migraine: A PRISMA-Compliant Systematic Review and Meta-Analysis of Randomized Controlled Trials

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2021/7582581 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Jihye Seo ◽

Hongmin Chu ◽

Cheol-Hyun Kim ◽

Kang-Keyng Sung ◽

Sangkwan Lee

Keyword(s):

Systematic Review ◽

Qualitative Analysis ◽

Randomized Controlled Trials ◽

Meta Analysis ◽

Cupping Therapy ◽

Controlled Trials ◽

Cochrane Central Register ◽

Clinical Effects ◽

Randomized Controlled ◽

Significant Difference

Background. Migraine is a common reason for primary headache disorders. Cupping is a frequently used traditional intervention for controlling pain including migraine. There have been no systematic reviews on the clinical effects of cupping on migraine. Objective. This systematic review and meta-analysis aimed to evaluate the effectiveness of cupping therapy for migraine. The search strategy was built for the presence of related keywords, such as “migraine” and “cupping therapy”, in the title and abstract of research articles indexed in the MEDLINE, EMBASE, CENTRAL, and other databases. The randomized controlled trials (RCTs) of cupping therapy for migraine were searched and selected from inception to May 2019. We searched eight databases including PubMed, EMBASE, Cochrane Central Register of Controlled Trials. The selection process and the quality assessment were performed by 2 authors independently. The meta-analysis was conducted and qualitative analysis was also performed. Results. 218 studies were identified, and 6 RCTs were enrolled in this review. In comparison to drugs, wet cupping showed a higher total effective rate (TER). In the dry cupping plus acupuncture, the result of TER showed more effectiveness (RR 1.05, 95% CI 0.99 to 1.12, P = 0.13 ) compared with acupuncture alone, but there was no statistically significant difference. In qualitative analysis, the results showed wet cupping plus drugs treatment could quickly relieve pain and significantly improve patients’ quality of life and wet cupping could reduce headache pain. Conclusion. Cupping therapy could be effective for the treatment of migraine. However, the qualities of the evidence were low, so well-designed RCTs are needed to confirm the effectiveness of cupping. Systematic review registration: PROSPERO registration number is CRD42017054979.

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Abstracts #300082: Current Therapies in Nonalcoholic Fatty Liver Disease (NAFLD). A Meta-analysis of Randomized Controlled Trials

Endocrine Practice ◽

10.1016/s1530-891x(20)48249-7 ◽

2020 ◽

Vol 26 ◽

pp. 5

Author(s):

Emily Wood

Keyword(s):

Liver Disease ◽

Fatty Liver ◽

Randomized Controlled Trials ◽

Nonalcoholic Fatty Liver Disease ◽

Fatty Liver Disease ◽

Meta Analysis ◽

Controlled Trials ◽

Nonalcoholic Fatty Liver ◽

Randomized Controlled ◽

Current Therapies

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258 Ambulatory monitoring for heart failure patients: it is possible to improve survival and quality of life: a metanalysis of randomized controlled trials

European Journal of Heart Failure Supplements ◽

10.1016/s1567-4215(07)60137-4 ◽

2007 ◽

Vol 6 (1) ◽

pp. 51-51

Author(s):

F CANARIOALMEIDA ◽

L AZEVEDO ◽

A COSTAPEREIRA

Keyword(s):

Quality Of Life ◽

Heart Failure ◽

Randomized Controlled Trials ◽

Ambulatory Monitoring ◽

Controlled Trials ◽

Heart Failure Patients ◽

Randomized Controlled

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The Effect of Partly Missing Covariates on Statistical Power in Randomized Controlled Trials With Discrete-Time Survival Endpoints

Methodology ◽

10.1027/1614-2241/a000121 ◽

2017 ◽

Vol 13 (2) ◽

pp. 41-60

Author(s):

Shahab Jolani ◽

Maryam Safarkhani

Keyword(s):

Randomized Controlled Trials ◽

Discrete Time ◽

Treatment Effect ◽

Survival Data ◽

Controlled Trials ◽

Missing Covariates ◽

Indicator Method ◽

Imputation Methods ◽

Randomized Controlled ◽

Baseline Covariates

Abstract. In randomized controlled trials (RCTs), a common strategy to increase power to detect a treatment effect is adjustment for baseline covariates. However, adjustment with partly missing covariates, where complete cases are only used, is inefficient. We consider different alternatives in trials with discrete-time survival data, where subjects are measured in discrete-time intervals while they may experience an event at any point in time. The results of a Monte Carlo simulation study, as well as a case study of randomized trials in smokers with attention deficit hyperactivity disorder (ADHD), indicated that single and multiple imputation methods outperform the other methods and increase precision in estimating the treatment effect. Missing indicator method, which uses a dummy variable in the statistical model to indicate whether the value for that variable is missing and sets the same value to all missing values, is comparable to imputation methods. Nevertheless, the power level to detect the treatment effect based on missing indicator method is marginally lower than the imputation methods, particularly when the missingness depends on the outcome. In conclusion, it appears that imputation of partly missing (baseline) covariates should be preferred in the analysis of discrete-time survival data.

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