REPRINTED WITH PERMISSION OF IASP – PAIN 161 (2020) 880–888: Neck pain and headache after whiplash injury: a systematic review and meta-analysis

Ból ◽  
2021 ◽  
Vol 22 (2) ◽  
pp. 1-13
Author(s):  
Haidar Muhsen Al-Khazali ◽  
Håkan Ashina ◽  
Afrim Iljazi ◽  
Richard B. Lipton ◽  
Messoud Ashina ◽  
...  
Keyword(s):  
Neck Pain ◽  
Relative Frequency ◽  
Whiplash Injury ◽  
Literature Search ◽  
Meta Analysis ◽  
Original Data ◽  
Population Based ◽  
Time Interval ◽  
Considerable Heterogeneity ◽  
Clear Cut

Neck pain and headache are 2 of the most common complications of whiplash injury. Therefore, we performed a systematic literature search on PubMed and Embase for publications reporting on the prevalence of neck pain and headache after whiplash injury. The literature search identified 2709 citations of which 44 contained relevant original data. Of these, 27 studies provided data for the quantitative analysis. For non-population-based studies, the present metaanalysis showed that a pooled relative frequency of neck pain was 84% confidence interval (68–95%) and a pooled relative frequency of headache was 60% (46–73%), within 7 days after whiplash injury. At 12 months after injury, 38% (32–45%) of patients with whiplash still experienced neck pain, while 38% (18–60%) of whiplash patients reported headache at the same time interval after injury. However, we also found considerable heterogeneity among studies with I2-values ranging from 89% to 98% for the aforementioned meta-analyses. We believe that the considerable heterogeneity among studies underscores the need for clear-cut definitions of whiplash injury and standardized reporting guidelines for postwhiplash sequelae such as neck pain and headache. Future studies should seek to optimize these aspects paving the way for a better understanding of the clinical characteristics and natural course of whiplash-associated sequelae.

A population-based survey of beliefs about neck pain from whiplash injury, work-related neck pain, and work-related upper extremity pain

2009 ◽  
Vol 13 (3) ◽  
pp. 300-304 ◽  
Author(s):  
Geoff P. Bostick ◽  
Robert Ferrari ◽  
Linda J. Carroll ◽  
Anthony S. Russell ◽  
Rachelle Buchbinder ◽  
...  
Keyword(s):  
Neck Pain ◽  
Upper Extremity ◽  
Whiplash Injury ◽  
Population Based ◽  
Work Related ◽  
Population Based Survey

Whiplash Injury is More Than Neck Pain: A Population-Based Study of Pain Localization After Traffic Injury

2010 ◽  
Vol 52 (4) ◽  
pp. 434-440 ◽  
Author(s):  
Cesar A. Hincapié ◽  
J. David Cassidy ◽  
Pierre Côté ◽  
Linda J. Carroll ◽  
Jaime Guzmán
Keyword(s):  
Neck Pain ◽  
Whiplash Injury ◽  
Population Based ◽  
Population Based Study ◽  
Traffic Injury ◽  
Pain Localization

Comparison of Meta-heuristic Algorithms on Benchmark Functions

2019 ◽  
Vol 2 (3) ◽  
pp. 508-517
Author(s):  
FerdaNur Arıcı ◽  
Ersin Kaya
Keyword(s):  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Optimization Algorithms ◽  
Gravitational Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Time Interval ◽  
Bee Colony ◽  
Different Characteristics

Optimization is a process to search the most suitable solution for a problem within an acceptable time interval. The algorithms that solve the optimization problems are called as optimization algorithms. In the literature, there are many optimization algorithms with different characteristics. The optimization algorithms can exhibit different behaviors depending on the size, characteristics and complexity of the optimization problem. In this study, six well-known population based optimization algorithms (artificial algae algorithm - AAA, artificial bee colony algorithm - ABC, differential evolution algorithm - DE, genetic algorithm - GA, gravitational search algorithm - GSA and particle swarm optimization - PSO) were used. These six algorithms were performed on the CEC’17 test functions. According to the experimental results, the algorithms were compared and performances of the algorithms were evaluated.

scholarly journals Time-to-Treatment in Oral Cancer: Causes and Implications for Survival

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1321
Author(s):  
Constanza Saka-Herrán ◽  
Enric Jané-Salas ◽  
Antoni Mari-Roig ◽  
Albert Estrugo-Devesa ◽  
José López-López
Keyword(s):  
Oral Cancer ◽  
Previous Treatment ◽  
Diagnostic Procedures ◽  
Original Data ◽  
Primary Treatment ◽  
Medical Attention ◽  
Time Interval ◽  
Pre Treatment ◽  
The Impact ◽  
Lack Of Knowledge

The purpose of this review was to identify and describe the causes that influence the time-intervals in the pathway of diagnosis and treatment of oral cancer and to assess its impact on prognosis and survival. The review was structured according to the recommendations of the Aarhus statement, considering original data from individual studies and systematic reviews that reported outcomes related to the patient, diagnostic and pre-treatment intervals. The patient interval is the major contributor to the total time-interval. Unawareness of signs and/or symptoms, denial and lack of knowledge about oral cancer are the major contributors to the process of seeking medical attention. The diagnostic interval is influenced by tumor factors, delays in referral due to higher number of consultations and previous treatment with different medicines or dental procedures and by professional factors such as experience and lack of knowledge related to the disease and diagnostic procedures. Patients with advanced stage disease, primary treatment with radiotherapy, treatment at an academic facility and transitions in care are associated with prolonged pre-treatment intervals. An emerging body of evidence supports the impact of prolonged pre-treatment and treatment intervals with poorer survival from oral cancer.

scholarly journals Month of Birth and Mental Disorders: A Population‐Based Study and Validation Using Global Meta‐Analysis

2021 ◽  
Author(s):  
Chih‐Wei Hsu ◽  
Ping‐Tao Tseng ◽  
Yu‐Kang Tu ◽  
Pao‐Yen Lin ◽  
Chi‐Fa Hung ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Meta Analysis ◽  
Population Based ◽  
Month Of Birth ◽  
Population Based Study

scholarly journals The Impact of Diagnostic Criteria for Gestational Diabetes Mellitus on Adverse Maternal Outcomes: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 666
Author(s):  
Fahimeh Ramezani Tehrani ◽  
Marzieh Saei Ghare Naz ◽  
Razieh Bidhendi Yarandi ◽  
Samira Behboudi-Gandevani
Keyword(s):  
Systematic Review ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Diagnostic Criteria ◽  
Meta Analysis ◽  
Population Based ◽  
Maternal Outcomes ◽  
Care Providers ◽  
Iadpsg Criteria ◽  
The Impact

This systematic review and meta-analysis aimed to examine the impact of different gestational-diabetes (GDM) diagnostic-criteria on the risk of adverse-maternal-outcomes. The search process encompassed PubMed (Medline), Scopus, and Web of Science databases to retrieve original, population-based studies with the universal GDM screening approach, published in English language and with a focus on adverse-maternal-outcomes up to January 2020. According to GDM diagnostic criteria, the studies were classified into seven groups. A total of 49 population-based studies consisting of 1409018 pregnant women with GDM and 7,667,546 non-GDM counterparts were selected for data analysis and knowledge synthesis. Accordingly, the risk of adverse-maternal-outcomes including primary-cesarean, induction of labor, maternal-hemorrhage, and pregnancy-related-hypertension, overall, regardless of GDM diagnostic-criteria and in all diagnostic-criteria subgroups were significantly higher than non-GDM counterparts. However, in meta-regression, the increased risk was not influenced by the GDM diagnostic-classification and the magnitude of the risks among patients, using the IADPSG criteria-classification as the most strict-criteria, was similar to other criteria. In conclusion, a reduction in the diagnostic-threshold increased the prevalence of GDM, but the risk of adverse-maternal-outcome was not different among those women who were diagnosed through more or less intensive strategies. Our review findings can empower health-care-providers to select the most cost-effective approach for the screening of GDM among pregnant women.

scholarly journals More than 50 long-term effects of COVID-19: a systematic review and meta-analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sandra Lopez-Leon ◽  
Talia Wegman-Ostrosky ◽  
Carol Perelman ◽  
Rosalinda Sepulveda ◽  
Paulina A. Rebolledo ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Management Strategies ◽  
Original Data ◽  
Long Term Effects ◽  
Pooled Prevalence ◽  
Attention Disorder ◽  
Initial Recovery ◽  
Meta Analyses

AbstractCOVID-19 can involve persistence, sequelae, and other medical complications that last weeks to months after initial recovery. This systematic review and meta-analysis aims to identify studies assessing the long-term effects of COVID-19. LitCOVID and Embase were searched to identify articles with original data published before the 1st of January 2021, with a minimum of 100 patients. For effects reported in two or more studies, meta-analyses using a random-effects model were performed using the MetaXL software to estimate the pooled prevalence with 95% CI. PRISMA guidelines were followed. A total of 18,251 publications were identified, of which 15 met the inclusion criteria. The prevalence of 55 long-term effects was estimated, 21 meta-analyses were performed, and 47,910 patients were included (age 17–87 years). The included studies defined long-COVID as ranging from 14 to 110 days post-viral infection. It was estimated that 80% of the infected patients with SARS-CoV-2 developed one or more long-term symptoms. The five most common symptoms were fatigue (58%), headache (44%), attention disorder (27%), hair loss (25%), and dyspnea (24%). Multi-disciplinary teams are crucial to developing preventive measures, rehabilitation techniques, and clinical management strategies with whole-patient perspectives designed to address long COVID-19 care.

scholarly journals Sense of Purpose in Life Is Associated with Lower Risk of Incident Dementia: A Meta-Analysis

2021 ◽  
pp. 1-10
Author(s):  
Angelina R. Sutin ◽  
Damaris Aschwanden ◽  
Martina Luchetti ◽  
Yannick Stephan ◽  
Antonio Terracciano
Keyword(s):  
Lower Risk ◽  
Meta Analysis ◽  
Random Effect ◽  
Purpose In Life ◽  
Population Based ◽  
Primary Data ◽  
Or Education ◽  
Total N ◽  
Sense Of Purpose ◽  
Incident Dementia

Background: A sense of purpose in life has been associated with healthier cognitive outcomes across adulthood, including risk of dementia. The robustness and replicability of this association, however, has yet to be evaluated systematically. Objective: To test whether a greater sense of purpose in life is associated with lower risk of dementia in four population-based cohorts and combined with the published literature. Methods: Random-effect meta-analysis of prospective studies (individual participant data and from the published literature identified through a systematic review) that examined sense of purpose and risk of incident dementia. Results: In six samples followed up to 17 years (four primary data and two published; total N = 53,499; n = 5,862 incident dementia), greater sense of purpose in life was associated with lower dementia risk (HR = 0.77, 95%CI = 0.73–0.81, p <  0.001). The association was generally consistent across cohorts (I2 = 47%), remained significant controlling for clinical (e.g., depression) and behavioral (e.g., physical inactivity) risk factors, and was not moderated by age, gender, or education. Conclusion: Sense of purpose is a replicable and robust predictor of lower risk of incident dementia and is a promising target of intervention for cognitive health outcomes.

scholarly journals Association of UCP1 and UCP2 variants with diabetic retinopathy susceptibility in type-2 diabetes mellitus patients: a meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xujia Liu ◽  
Zehua Jiang ◽  
Guihua Zhang ◽  
Tsz Kin Ng ◽  
Zhenggen Wu
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Fixed Effects ◽  
Literature Search ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Fixed Effects Models ◽  
Type 2 Dm ◽  
Subgroup Analyses

Abstract Background Genetic association of uncoupling proteins (UCPs) variants with the susceptibility of diabetic retinopathy (DR) in diabetes mellitus (DM) patients has been reported but with controversy. Here we aimed to conduct a meta-analysis to confirm the association of different UCPs variants with DR. Methods Three databases (Medline Ovid, Embase Ovid and CENTRAL) were applied in the literature search. Five genetic models, including allelic, homozygous, heterozygous, dominant and recessive models, were evaluated. Odds ratios (OR) were estimated under the random or fixed-effects models. Subgroup analyses, publication bias and sensitivity analyses were also conducted. Results Eleven studies on 2 UCPs variants (UCP1 rs1800592 and UCP2 rs659366) were included. Our meta-analysis showed that UCP1 rs1800592 was not associated with DR in type-2 DM patients, and UCP2 rs659366 also showed no association with DR. In the subgroup analyses on the stage of DR, allele G of UCP1 rs1800592 significantly increased the susceptibility of proliferative diabetic retinopathy (PDR) in type-2 DM patients in the allelic (OR = 1.26, P = 0.03) and homozygous models (OR = 1.60, P = 0.04). Subgroup analysis on ethnicity did not found any significant association of rs1800592 and rs659366 with DR. Conclusion Our meta-analysis confirmed the association of UCP1 rs1800592 variant with PDR in patients with type-2 DM, suggesting its potential as a genetic marker for PDR prediction in population screening.

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