The effect of cold application on episiotomy pain: A systematic review and meta‐analysis

Author(s):  
Ayça Şolt Kırca ◽  
Sevda Korkut Öksüz ◽  
Naci Murat
2021 ◽  
Author(s):  
Chia-Te Chen ◽  
Heng-Hsin Tung ◽  
Yen-Chin Chen ◽  
Jiun-Ling Wang ◽  
Sheng-Han Tsai ◽  
...  

Abstract Background and Objective: Data on the effects of cold application on reducing pain and anxiety after chest tube removal (CTR) are inconsistent. This study aimed to conduct a systematic review and meta-analysis to evaluate the effects of cold application on pain and anxiety reduction after CTR.Methods: We searched six databases, including Embase, Ovid Medline, Cochrane Library, Scopus, the Index to Taiwan Periodical Literature System, and Airiti Library, to identify relevant articles up to the end of February 2021. We limited the language to English and Chinese and the design to randomized controlled trials (RCTs). All studies were reviewed by two independent investigators. The Cochrane Collaboration’s tool was used to assess the risk of bias, and Review Manager 5.4 was used to conduct the meta-analysis.Results: Ten RCTs with 623 participants were included in the meta-analysis. The use of cold application could effectively reduce immediate pain and had persistent effects on pain after CTR. There were significant effects of cold application on reducing anxiety. The meta-regression showed that a drop in skin temperature to the 13°C target of cold application was significantly more effective for the immediate reduction in pain intensity compared with receiving up to 20 minutes target of cold application.Conclusion: Cold application is a safe and easy-to-administer nonpharmacological method with immediate and persistent effects on pain and anxiety relief after CTR. In particular, skin temperature drops to the 13°C target of cold application were effective for immediate reduction of pain intensity following CTR.


2021 ◽  
Author(s):  
Yali Wei ◽  
Yan Meng ◽  
Na Li ◽  
Qian Wang ◽  
Liyong Chen

The purpose of the systematic review and meta-analysis was to determine if low-ratio n-6/n-3 long-chain polyunsaturated fatty acid (PUFA) supplementation affects serum inflammation markers based on current studies.


2020 ◽  
Vol 90 (5-6) ◽  
pp. 535-552 ◽  
Author(s):  
Mahdieh Abbasalizad Farhangi ◽  
Mahdi Vajdi

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.


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