A Systematic Quality Evaluation of Meta-Analyses Related to Plastic Surgery

2017 ◽  
Vol 78 (1) ◽  
pp. 111-118 ◽  
Author(s):  
Nanze Yu ◽  
Panxi Yu ◽  
Xiao Long ◽  
Jiuzuo Huang ◽  
Yihong Jia ◽  
...  
Keyword(s):  
Plastic Surgery ◽  
Quality Evaluation ◽  
Meta Analyses

scholarly journals Interpreting the Results of Meta-Analyses in Plastic Surgery

2019 ◽  
Vol 143 (6) ◽  
pp. 1317e-1318e
Author(s):  
Christopher J. Coroneos ◽  
Anaeze C. Offodile ◽  
Sophocles H. Voineskos ◽  
Ronen Avram
Keyword(s):  
Plastic Surgery ◽  
Meta Analyses

Social media in health communication: A literature review of information quality

2021 ◽  
pp. 183335832199268
Author(s):  
Eric Afful-Dadzie ◽  
Anthony Afful-Dadzie ◽  
Sulemana Bankuoru Egala
Keyword(s):  
Social Media ◽  
Health Communication ◽  
Health Information ◽  
Information Quality ◽  
Quality Evaluation ◽  
Evaluation Criteria ◽  
Cochrane Library ◽  
Future Research ◽  
User Characteristics ◽  
Meta Analyses

Background: Social media is used in health communication by individuals, health professionals, disease centres and other health regulatory bodies. However, varying degrees of information quality are churned out daily on social media. This review is concerned with the quality of Social Media Health Information (SMHI). Objective: The review sought to understand how SMHI quality issues have been framed and addressed in the literature. Health topics, users and social media platforms that have raised health information quality concerns are reviewed. The review also looked at the suitability of existing criteria and instruments used in evaluating SMHI and identified gaps for future research. Method: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the forward chaining strategy were used in the document search. Data were sourced according to inclusion criteria from five academic databases, namely Scopus, Web of Science, Cochrane Library, PubMed and MEDLINE. Results: A total of 93 articles published between 2000 and 2019 were used in the review. The review revealed a worrying trend of health content and communication on social media, especially of cancer, dental care and diabetes information on YouTube. The review further discovered that the Journal of the American Medical Association, the DISCERN and the Health on the Net Foundation, which were designed before the advent of social media, continue to be used as quality evaluation instruments for SMHI, even though technical and user characteristics of social media differ from traditional portals such as websites. Conclusion: The study synthesises varied opinions on SMHI quality in the literature and recommends that future research proposes quality evaluation criteria and instruments specifically for SMHI.

scholarly journals Immunization Against Inhibin Promotes Fertility in Cattle: A Meta-Analysis and Quality Assessment

2021 ◽  
Vol 8 ◽  
Author(s):  
LingLi Ma ◽  
Zhuo Li ◽  
ZhongRen Ma ◽  
JianBo Ma ◽  
Fei Zhao
Keyword(s):  
Animal Studies ◽  
Quality Evaluation ◽  
Data Extraction ◽  
Meta Analysis ◽  
Follicular Development ◽  
Risk Of Bias ◽  
Corpora Lutea ◽  
Embryo Yield ◽  
Grade 3 ◽  
Meta Analyses

Superovulation and embryo transfer techniques are important methods in cattle breeding. Combined with traditional superovulation protocols, immunization against inhibin can further improve follicular development and embryo yield. The aim of this study is to determine the efficacy of immunization against inhibin in improving the fertility of cattle through meta-analysis and to provide better clinical veterinary practice guidance. Three English databases (PubMed, EMBASE, Web of Science) were searched for research articles of immunizations against inhibin influence on cattle fertility. Literature screening, data extraction, and meta-analysis were conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In addition, the Systematic Review Center for Laboratory animal Experimentation (SYRCLE) risk-of-bias (RoB) tool was used to assess the risk of bias of the included animal studies. Potentially relevant studies (317) were identified, and finally 14 eligible studies (all in English) were included. The results of meta-analysis revealed that immunization against inhibin has significant effects on improving the number of ovulations [mean difference (MD) = 0.44, 95% confidence interval (CI) = (0.31, 0.56)], embryos and unfertilized ova [MD = 4.51, 95% CI = (2.28, 6.74)], follicles of the three size categories, the incidence of multiple ovulations [OR = 22.50, 95% CI = (8.13, 62.27)], and the conception rate [OR = 2.36, 95% CI = (1.26, 4.40)]. Moreover, it improved the production of embryos [grades 1 embryos: MD = 3.84, (3.54, 4.15); grade 2 embryos: MD = −0.73, (−0.89, −0.57); grade 3 embryos: MD = −0.50, (−0.75, −0.25); degenerated embryos: MD = 1.16, (−0.51, 2.82); transferable embryos: MD = 2.67, (2.03, 3.31)] and the number of corpora lutea [MD = 1.25, 95% CI = (0.79, 1.71)]. In the above indicators, the differences between the two groups were statistically significant (all p < 0.0001). Additionally, according to the quality evaluation results, the risk of bias in the included studies is relatively high. The quality evaluation of the results of the included studies showed that the risk of bias mainly concentrated in the selective, performance, detection, and reporting of bias aspects.

A Detailed Analysis of Level I Evidence (Randomized Controlled Trials and Meta-Analyses) in Five Plastic Surgery Journals to Date: 1978 to 2009

2010 ◽  
Vol 126 (5) ◽  
pp. 1774-1778 ◽  
Author(s):  
James E. McCarthy ◽  
Abhishek Chatterjee ◽  
T. Gregory McKelvey ◽  
Elisabeth M. G. Jantzen ◽  
Carolyn L. Kerrigan
Keyword(s):  
Randomized Controlled Trials ◽  
Detailed Analysis ◽  
Plastic Surgery ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Level I ◽  
Meta Analyses ◽  
Surgery Journals

scholarly journals A Methodological Quality Evaluation of Meta-Analyses on Nursing Home Research: Overview and Suggestions for Future Directions

2022 ◽  
Vol 19 (1) ◽  
pp. 505
Author(s):  
In-Soo Shin ◽  
Juh-Hyun Shin ◽  
Dong-Eun Jang ◽  
Jiyeon Lee
Keyword(s):  
Nursing Home ◽  
Effect Size ◽  
Quality Evaluation ◽  
Research Field ◽  
Future Directions ◽  
Quality Reporting ◽  
Randomized Control ◽  
Statistical Issues ◽  
Meta Analyses

(1) Background: The nursing home (NH) research field lacks quality reporting about meta-analyses (MAs), and most gradings of MA evidence are biased on analyzing the effectiveness of independent variables in randomized control trials. (2) Objectives: This study aimed to perform a critical methodological review of MAs in the NH research field. (3) Methods: We searched the articles from four databases (PubMed, MEDLINE, CINAHL, and PsycINFO) until 15th January 2021. We reviewed a total of 41 published review articles in the NH research field. (4) Results: The studies primarily fell into the following categories: medicine (17/41), nursing (7/41), and psychiatry or psychology (6/41); 36.6% of the reviewed studies did not use any validated MA guidelines. The lowest correctly reported PRISMA 2000 guideline item was protocol and registration (14.6%), and more than 50% of articles did not report risk of bias. Moreover, 78.0% of studies did not describe missing reports of effect size formula. (5) Discussion: NH researchers must follow appropriate and updated guidelines for their MAs in order to provide validated reviews, as well as consider statistical issues such as the complexity of interventions, proper grouping, and scientific effect-size calculations to improve the quality of their study. Future quality review studies should investigate more diverse studies.

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