scholarly journals Impact of livestock interventions on maternal and child nutrition outcomes in Africa: A systematic review and meta-analysis protocol

2021 ◽  
Vol 4 ◽  
pp. 1
Author(s):  
Josphat Muema ◽  
Julius Oyugi ◽  
Zipporah Bukania ◽  
Mutono Nyamai ◽  
Christine Jost ◽  
...  
Keyword(s):  
Systematic Review ◽  
Child Nutrition ◽  
Meta Analysis ◽  
Health Concern ◽  
Maternal And Child Nutrition ◽  
Set Inclusion ◽  
Boolean Search ◽  
Nutrition Sensitive ◽  
The Impact

The challenge of undernutrition (stunting and wasting) still remains a major health concern in children below 5 years of age in Africa, with the continent accounting for more than one third of all stunted children and more than one quarter of all wasted children globally. Despite the growing evidence on the role of agriculture interventions in improving nutrition, empirical evidence on the impact of livestock intervention on nutrition in Africa is scant. This review is aimed at determining whether livestock interventions are effective in reducing undernutrition in children below five years of age and in pregnant and lactating women in Africa. The review will be conducted according to PRISMA guidelines. Major electronic databases will be searched and complemented with grey and non-indexed literature from google and google scholar, and expert consultation for additional articles and reports. PICO criteria will be used while employing search strategies including MeSH, Boolean search operators and truncation/wildcard symbol to narrow or broaden the search. Articles on effect of livestock interventions on maternal and child nutrition conducted in Africa that meet the set inclusion criteria will be included in the review after critical appraisal by two independent reviewers. A standardized form will be used to extract data from included studies. The extracted data will be summarized and synthesized both qualitatively and quantitatively and key outcomes presented. Evidence generated from the systematic review and meta-analysis will be important for guiding nutrition sensitive livestock interventions and policies on nutrition programming, specifically on how to leverage on livestock interventions to reduce the burden of undernutrition.

scholarly journals Impact of livestock interventions on maternal and child nutrition outcomes in Africa: A systematic review and meta-analysis protocol

2021 ◽  
Vol 4 ◽  
pp. 1
Author(s):  
Josphat Muema ◽  
Julius Oyugi ◽  
Zipporah Bukania ◽  
Mutono Nyamai ◽  
Christine Jost ◽  
...  
Keyword(s):  
Systematic Review ◽  
Child Nutrition ◽  
Meta Analysis ◽  
Health Concern ◽  
Maternal And Child Nutrition ◽  
Set Inclusion ◽  
Boolean Search ◽  
Nutrition Sensitive ◽  
The Impact

The challenge of undernutrition (stunting and wasting) still remains a major health concern in children below 5 years of age in Africa, with the continent accounting for more than one third of all stunted children and more than one quarter of all wasted children globally. Despite the growing evidence on the role of agriculture interventions in improving nutrition, empirical evidence on the impact of livestock intervention on nutrition in Africa is scant. This review is aimed at determining whether livestock interventions are effective in reducing undernutrition in children below five years of age and in pregnant and lactating women in Africa. The review will be conducted according to PRISMA guidelines. Major electronic databases will be searched and complemented with grey and non-indexed literature from google and google scholar, and expert consultation for additional articles and reports. PICO criteria will be used while employing search strategies including MeSH, Boolean search operators and truncation/wildcard symbol to narrow or broaden the search. Articles on effect of livestock interventions on maternal and child nutrition conducted in Africa that meet the set inclusion criteria will be included in the review after critical appraisal by two independent reviewers. A standardized form will be used to extract data from included studies. The extracted data will be summarized and synthesized both qualitatively and quantitatively and key outcomes presented. Evidence generated from the systematic review and meta-analysis will be important for guiding nutrition sensitive livestock interventions and policies on nutrition programming, specifically on how to leverage on livestock interventions to reduce the burden of undernutrition.

scholarly journals The Effect of Anakinra in Hospitalized Patients with COVID-19: An Updated Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (19) ◽  
pp. 4462
Author(s):  
Konstantinos G. Kyriakoulis ◽  
Anastasios Kollias ◽  
Garyphallia Poulakou ◽  
Ioannis G. Kyriakoulis ◽  
Ioannis P. Trontzas ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Interleukin 1 ◽  
Severe Pneumonia ◽  
Hospitalized Patients ◽  
Current Evidence ◽  
Adjusted Risk ◽  
Risk Of Death ◽  
The Impact

The role of immunomodulatory agents in the treatment of hospitalized patients with COVID-19 has been of increasing interest. Anakinra, an interleukin-1 inhibitor, has been shown to offer significant clinical benefits in patients with COVID-19 and hyperinflammation. An updated systematic review and meta-analysis regarding the impact of anakinra on the outcomes of hospitalized patients with COVID-19 was conducted. Studies, randomized or non-randomized with adjustment for confounders, reporting on the adjusted risk of death in patients treated with anakinra versus those not treated with anakinra were deemed eligible. A search was performed in PubMed/EMBASE databases, as well as in relevant websites, until 1 August 2021. The meta-analysis of six studies that fulfilled the inclusion criteria (n = 1553 patients with moderate to severe pneumonia, weighted age 64 years, men 66%, treated with anakinra 50%, intubated 3%) showed a pooled hazard ratio for death in patients treated with anakinra at 0.47 (95% confidence intervals 0.34, 0.65). A meta-regression analysis did not reveal any significant associations between the mean age, percentage of males, mean baseline C-reactive protein levels, mean time of administration since symptoms onset among the included studies and the hazard ratios for death. All studies were considered as low risk of bias. The current evidence, although derived mainly from observational studies, supports a beneficial role of anakinra in the treatment of selected patients with COVID-19.

scholarly journals The Role of Machine Learning Techniques to Tackle COVID-19 Crisis: A Systematic Review.

2020 ◽  
Author(s):  
Hafsa Bareen Syeda ◽  
Mahanazuddin Syed ◽  
Kevin Wayne Sexton ◽  
Shorabuddin Syed ◽  
Salma Begum ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Disease Progression ◽  
Meta Analysis ◽  
Machine Learning Techniques ◽  
Data Types ◽  
Detection And Diagnosis ◽  
Novel Coronavirus ◽  
The Impact

Background: The novel coronavirus responsible for COVID-19 has caused havoc with patients presenting a spectrum of complications forcing the healthcare experts around the globe to explore new technological solutions, and treatment plans. Machine learning (ML) based technologies have played a substantial role in solving complex problems, and several organizations have been swift to adopt and customize them in response to the challenges posed by the COVID-19 pandemic. Objective: The objective of this study is to conduct a systematic literature review on the role of ML as a comprehensive and decisive technology to fight the COVID-19 crisis in the arena of epidemiology, diagnosis, and disease progression. Methods: A systematic search in PubMed, Web of Science, and CINAHL databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines to identify all potentially relevant studies published and made available between December 1, 2019, and June 27, 2020. The search syntax was built using keywords specific to COVID-19 and ML. A total of 128 qualified articles were reviewed and analyzed based on the study objectives. Results: The 128 publications selected were classified into three themes based on ML applications employed to combat the COVID-19 crisis: Computational Epidemiology (CE), Early Detection and Diagnosis (EDD), and Disease Progression (DP). Of the 128 studies, 70 focused on predicting the outbreak, the impact of containment policies, and potential drug discoveries, which were grouped into the CE theme. For the EDD, we grouped forty studies that applied ML techniques to detect the presence of COVID-19 using the patient's radiological images or lab results. Eighteen publications that focused on predicting the disease progression, outcomes (recovery and mortality), Length of Stay (LOS), and number of Intensive Care Unit (ICU) days for COVID-19 positive patients were classified under the DP theme. Conclusions: In this systematic review, we assembled the current COVID-19 literature that utilized ML methods to provide insights into the COVID-19 themes, highlighting the important variables, data types, and available COVID-19 resources that can assist in facilitating clinical and translational research.

Impact of the menstrual cycle on peripheral vascular function in premenopausal women: systematic review and meta-analysis

2020 ◽  
Vol 319 (6) ◽  
pp. H1327-H1337
Author(s):  
Jennifer S. Williams ◽  
Emily C. Dunford ◽  
Maureen J. MacDonald
Keyword(s):  
Systematic Review ◽  
Menstrual Cycle ◽  
Endothelial Function ◽  
Vascular Function ◽  
Meta Analysis ◽  
Premenopausal Women ◽  
Cycle Phase ◽  
Peripheral Vascular ◽  
The Impact

Fluctuations in endogenous hormones estrogen and progesterone during the menstrual cycle may offer vasoprotection for endothelial and smooth muscle (VSM) function. While numerous studies have been published, the results are conflicting, leaving our understanding of the impact of the menstrual cycle on vascular function unclear. The purpose of this systematic review and meta-analysis was to consolidate available research exploring the role of the menstrual cycle on peripheral vascular function. A systematic search of MEDLINE, Web of Science, and EMBASE was performed for articles evaluating peripheral endothelial and VSM function across the natural menstrual cycle: early follicular (EF) phase versus late follicular (LF), early luteal, mid luteal, or late luteal. A meta-analysis examined the effect of the menstrual cycle on the standardized mean difference (SMD) of the outcome measures. Analysis from 30 studies ( n = 1,363 women) observed a “very low” certainty of evidence that endothelial function increased in the LF phase (SMD: 0.45, P = 0.0001), with differences observed in the macrovasculature but not in the microvasculature (SMD: 0.57, P = 0.0003, I2 = 84%; SMD: 0.21, P = 0.17, I2 = 34%, respectively). However, these results are partially explained by differences in flow-mediated dilation [e.g., discrete (SMD: 0.86, P = 0.001) vs. continuous peak diameter assessment (SMD: 0.25, P = 0.30)] and/or menstrual cycle phase methodologies. There was a “very low” certainty that endothelial function was largely unchanged in the luteal phases, and VSM was unchanged across the cycle. The menstrual cycle appears to have a small effect on macrovascular endothelial function but not on microvascular or VSM function; however, these results can be partially attributed to methodological differences.

scholarly journals The Role of Machine Learning Techniques to Tackle COVID-19 Crisis: A Systematic Review. (Preprint)

2020 ◽  
Author(s):  
Hafsa Bareen Syeda ◽  
Mahanazuddin Syed ◽  
Kevin Wayne Sexton ◽  
Shorabuddin Syed ◽  
Salma Begum ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Disease Progression ◽  
Meta Analysis ◽  
Machine Learning Techniques ◽  
Data Types ◽  
Detection And Diagnosis ◽  
Novel Coronavirus ◽  
The Impact

BACKGROUND The novel coronavirus responsible for COVID-19 has caused havoc with patients presenting a spectrum of complications forcing the healthcare experts around the globe to explore new technological solutions, and treatment plans. Machine learning (ML) based technologies have played a substantial role in solving complex problems, and several organizations have been swift to adopt and customize them in response to the challenges posed by the COVID-19 pandemic. OBJECTIVE The objective of this study is to conduct a systematic literature review on the role of ML as a comprehensive and decisive technology to fight the COVID-19 crisis in the arena of epidemiology, diagnosis, and disease progression. METHODS A systematic search in PubMed, Web of Science, and CINAHL databases was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines to identify all potentially relevant studies published and made available between December 1, 2019, and June 27, 2020. The search syntax was built using keywords specific to COVID-19 and ML. A total of 128 qualified articles were reviewed and analyzed based on the study objectives. RESULTS The 128 publications selected were classified into three themes based on ML applications employed to combat the COVID-19 crisis: Computational Epidemiology (CE), Early Detection and Diagnosis (EDD), and Disease Progression (DP). Of the 128 studies, 70 focused on predicting the outbreak, the impact of containment policies, and potential drug discoveries, which were grouped into the CE theme. For the EDD, we grouped forty studies that applied ML techniques to detect the presence of COVID-19 using the patient's radiological images or lab results. Eighteen publications that focused on predicting the disease progression, outcomes (recovery and mortality), Length of Stay (LOS), and number of Intensive Care Unit (ICU) days for COVID-19 positive patients were classified under the DP theme. CONCLUSIONS In this systematic review, we assembled the current COVID-19 literature that utilized ML methods to provide insights into the COVID-19 themes, highlighting the important variables, data types, and available COVID-19 resources that can assist in facilitating clinical and translational research.

scholarly journals O-195 The impact of the COVID-19 outbreak on psychological distress due to the cancellation of ART. A systematic review and meta-analysis

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Z Donarelli ◽  
G Lo Coco ◽  
S Gullo ◽  
V Oieni ◽  
A Volpes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Psychological Distress ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Inclusion Criteria ◽  
Cross Sectional ◽  
Infertile Couples ◽  
The Impact ◽  
Infertile Patients

Abstract Study question Is there evidence that infertile patients have been more likely to experience distress during the COVID-19 outbreak with the consequent interruption of treatment plans? Summary answer High levels of psychological distress among infertile patients have been found during the COVID-19 pandemic, greater than that reported in the general population. What is known already Preliminary research on the negative consequences of the COVID-19 outbreak on mental health evidenced heightened levels of anxiety, depression and post-traumatic stress in some clinical populations as well as in community samples. However, little is known about the impact of COVID-19 on psychological distress of infertile patients who have been forced to suspend infertility treatment and postpone parenthood goals during the pandemic. The aim of this meta-analytic review is to summarize extant literature on the prevalence of psychological distress symptoms in infertile patients during the COVID-19 pandemic. Study design, size, duration A systematic review and meta-analysis were conducted following the PRISMA guidelines on PsycInfo, PubMed, Embase, Web of Science, MedRxiv from March 2020 to mid-December 2020. Study inclusion criteria were specified according to the PICOS guideline. All naturalistic or RCT studies published in 2020 that examined infertility as the primary diagnosis and had a quantitative measurement of distress, were eligible. The primary outcomes were symptoms of psychological distress and secondary outcomes were indicators of psychological health. Participants/materials, setting, methods The database search identified 144 papers. Two reviewers independently screened potential studies by title and abstracts based on the inclusion criteria. The full texts were then screened for eligibility. The Newcastle-Ottawa Scale was used to judge the methodological quality of the studies. In order to estimate the pooled prevalence of distress, Odds Ratios with 95% Confidence Interval were calculated as the effect size by using a random-effects model. Heterogeneity was tested using I2 statistics. Main results and the role of chance Fourteen studies met the inclusion criteria and were summarized for the systematic review (N = 6473). Only six studies did not include males although, in the surveys, females made up 92% of the total sample. Ten studies adopted a cross-sectional study design. 100% gathered data through an online survey. Nine studies showed a high risk of bias, and five had a moderate risk. Review results showed that 56,4% of patients wished to resume treatment; participants were mostly worried about the delay in treatment because of their age (>35 years) or diminished ovarian reserve, or money constraints and low education level. Only five studies examined the role of protective factors such as social support, coping, optimism trait and intolerance of uncertainty. Nine studies were included for meta-analysis. The prevalence of psychological distress was 0.58 (95% CI 0.32÷0.84). The pooled point estimates of prevalence for anxiety (N = 6) were 0.56 (95% CI 0.24÷0.88), whereas the prevalence for depression (N = 5) was 0.46 (95% CI 0.15÷0.77). There was significant heterogeneity among studies to estimate the prevalence (I² ranging from 99% to 100%). Limitations, reasons for caution Results are preliminary, given the small number of studies and their cross-sectional data. The risk of bias was high or moderate across studies. Wider implications of the findings Infertile couples reported high levels of distress due to cancellation of their diagnostic procedures or treatment; they would benefit from information, appropriate support and advice from healthcare professionals, with an important role in maintaining the wishes of infertile couples to continue their parenthood goals. Trial registration number not applicable

scholarly journals A systematic review of the relationship between behavioral and psychological symptoms (BPSD) and caregiver well-being

2016 ◽  
Vol 28 (11) ◽  
pp. 1761-1774 ◽  
Author(s):  
Alexandra Feast ◽  
Esme Moniz-Cook ◽  
Charlotte Stoner ◽  
Georgina Charlesworth ◽  
Martin Orrell
Keyword(s):  
Systematic Review ◽  
Motor Behavior ◽  
Psychological Symptoms ◽  
Meta Analysis ◽  
Well Being ◽  
Future Research ◽  
The Individual ◽  
The Impact ◽  
Behavioral And Psychological Symptoms

ABSTRACTBackground:Behavioral and psychological symptoms in dementia (BPSD) are important predictors of institutionalization as well as caregiver burden and depression. Previous reviews have tended to group BPSD as one category with little focus on the role of the individual symptoms. This review investigates the role of the individual symptoms of BPSD in relation to the impact on different measures of family caregiver well-being.Methods:Systematic review and meta-analysis of papers published in English between 1980 and December 2015 reporting which BPSD affect caregiver well-being. Paper quality was appraised using the Downs and Black Checklist (1998).Results:Forty medium and high quality quantitative papers met the inclusion criteria, 16 were suitable to be included in a meta-analysis of mean distress scores. Depressive behaviors were the most distressing for caregivers followed by agitation/aggression and apathy. Euphoria was the least distressing. Correlation coefficients between mean total behavior scores and mean distress scores were pooled for four studies. Irritability, aberrant motor behavior and delusions were the most strongly correlated to distress, disinhibition was the least correlated.Conclusions:The evidence is not conclusive as to whether some BPSD impact caregiver well-being more than others. Studies which validly examined BPSD individually were limited, and the included studies used numerous measures of BPSD and numerous measures of caregiver well-being. Future research may benefit from a consistent measure of BPSD, examining BPSD individually, and by examining the causal mechanisms by which BPSD impact well-being by including caregiver variables so that interventions can be designed to target BPSD more effectively.

scholarly journals The Role of Elective Neck Treatment in the Management of Sinonasal Carcinomas: A Systematic Review of the Literature and a Meta-Analysis

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1842
Author(s):  
Costanza Galloni ◽  
Luca Giovanni Locatello ◽  
Chiara Bruno ◽  
Angelo Cannavicci ◽  
Giandomenico Maggiore ◽  
...  
Keyword(s):  
Systematic Review ◽  
Lower Risk ◽  
Meta Analysis ◽  
Regional Recurrence ◽  
Observation Group ◽  
Review Of The Literature ◽  
Impact On Survival ◽  
The Impact ◽  
Nodal Relapse

The impact of elective neck treatment (ENT), whether by irradiation or dissection, on the prognosis of patients with cN0 sinonasal carcinomas (SNCs) remains an understudied issue. METHODS: A systematic review and meta-analysis of the literature were performed according to PRISMA guidelines in order to assess regional nodal relapse rate after ENT compared to observation in cN0 SNCs patients. Twenty-six articles for a total of 1178 clinically N0 patients were analyzed. Globally, the 5-year overall survival was 52%; 34.6% of patients underwent ENT and 140 regional recurrences were registered (5.9% in the ENT cohort and 15% in the observation group). ENT appears to confer a lower risk of regional recurrence compared to observation alone, with a cumulative OR of 0.38 (95% CI 0.25–0.58). Our meta-analysis supports the efficacy of ENT for reducing the risk of regional recurrence, but its overall impact on survival remains uncertain.

scholarly journals Tranexamic acid in non-traumatic intracranial bleeding: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jean-Baptiste Bouillon-Minois ◽  
Carolyne Croizier ◽  
Julien S. Baker ◽  
Bruno Pereira ◽  
Farès Moustafa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Tranexamic Acid ◽  
Meta Analysis ◽  
Intracranial Bleeding ◽  
Sensitivity Analyses ◽  
Health Concern ◽  
Cochrane Library ◽  
Mortality Data ◽  
Meta Regression ◽  
The Impact

AbstractNon-traumatic intracranial bleeding (NTIB), comprising subarachnoid hemorrhage (SAH) and intra-cranial bleeding (ICH) is a significant public health concern. Tranexamic acid (TXA) is a promising treatment with benefits yet to be fully demonstrated. We conducted a systematic review and meta-analysis on the impact of TXA on mortality in NTIB. We searched the PubMed, Cochrane Library, Google Scholar and ScienceDirect databases for studies reporting mortality data following the use of TXA in NTIB for comparisons with a control group. We computed random-effect meta-analysis on estimates of risk and sensitivity analyses. We computed meta-regression to examine the putative effects of the severity of NTIB, sociodemographic data (age, sex), and publication date. Among potentially 10,008 articles, we included 15 studies representing a total of 4883 patients: 2455 receiving TXA and 2428 controls; 1110 died (23%) during the follow-up. The meta-analysis demonstrated a potential of 22% decrease in mortality for patients treated by TXA (RR = 0.78, 95%CI 0.58–0.98, p = 0.002). Meta-regression did not demonstrate any influence of the severity of NTIB, age, sex, length of treatment or date of publication. Sensitivity analyses confirmed benefits of TXA on mortality. TXA appears to be a therapeutic option to reduce non-traumatic intracranial bleeding mortality, particularly in patients with SAH.

Sign in / Sign up

Export Citation Format

Share Document