Comparison of CPG\u27s for the diagnosis, prognosis and management of non-specific neck pain: A systematic review

© 2019 The Author(s). Background: Neck pain (NP) is a very common musculoskeletal condition with potential for a high burden in disability and length of disorder. Clinical practice guidelines (CPG) give recommendations to clinicians for providing optimal care for patients however best practice recommendations are often contradictory. The purpose for this review was to conduct a SR of CPGs to assess the management recommendations for NP (diagnosis, treatment, prognosis, imaging). Methods: Standard SR methodology was employed including a grey literature search (including the National Guideline Clearing House). Medline, Cinahl, Embase, ILC, Cochrane, Central, and Lilacs were searched from 1995-to March 2018. Two raters evaluated all citations and a third rater resolved any disagreements. The AGREE II was used to assess risk of bias of each CPG. Data was extracted and included CPG purpose, type of NP problem and clinical recommendations. The AGREE II critical appraisal tool was used to assess risk of bias of each CPG. Results: From 640 articles, 241 were available for screening. A total of 46 guidelines were selected. CPG\u27s were categorized by the NP population (General NP, whiplash, interventional, headache and risk for vertebral insufficiency) and type of clinical aim (diagnosis, prognosis, treatment, imaging). Each clinical NP population had a large overlap of clinical aims presented. The CPGs were directed to a variety of clinicians that included physicians, physiotherapists and chiropractors. Results suggest heterogeneity in CPG recommendations within each clinical aim. CPG characteristics accounting for these differences are outlined. Conclusion: The majority of CPGs were developed for general NP that focused on treatment recommendations, with fewer number aimed at recommendations for diagnosis, prognosis, and outcomes. Heterogeneity of recommendations within the categories were noted as were potential factors associated with these differences, including CPG quality as assessed by the AGREE II

Active involvement of nursing staff in reporting and grading complication-intervention events-Protocol and results of the CAMUS Pilot Nurse Delphi Study.

Objectives The aim of this study is to gain experienced nursing perspective on current and future complication reporting and grading in Urology, establish the CAMUS CCI and quality control the use of the Clavien-Dindo Classification (CDC) in nursing staff. Subjects and Methods The 12-part REDCap-based Delphi survey was developed in conjunction with expert nurse, urologist and methodologist input. Certified local and international inpatient and outpatient nurses specialised in urology, perioperative nurses and urology-specific advanced practice nurses/nurse practitioners will be included. A minimum sample size of 250 participants is targeted. The survey assesses participant demographics, nursing experience and opinion on complication reporting and the proposed CAMUS reporting recommendations; grading of intervention events using the existing CDC and the proposed CAMUS Classification; and rating various clinical scenarios. Consensus will be defined as ≥75% agreement. If consensus is not reached, subsequent Delphi rounds will be performed under Steering Committee guidance. Results Twenty participants completed the pilot survey. Median survey completion time was 58 min (IQR 40-67). The survey revealed that 85% of nursing participants believe nurses should be involved in future complication reporting and grading but currently have poor confidence and inadequate relevant background education. Overall, 100% of participants recognise the universal demand for reporting consensus and 75% hold a preference towards the CAMUS System. Limitations include variability in nursing experience, complexity of supplemental grades and survey duration. Conclusion The integration of experienced nursing opinion and participation in complication reporting and grading systems in a modern and evolving hospital infrastructure may facilitate the assimilation of otherwise overlooked safety data. Incorporation of focused teaching into routine nursing education will be essential to ensure quality control and stimulate awareness of complication-related burden. This, in turn, has the potential to improve patient counselling and quality of care

Chapter 8: Meta-analysis of Test Performance When There is a “Gold Standard”

Synthesizing information on test performance metrics such as sensitivity, specificity, predictive values and likelihood ratios is often an important part of a systematic review of a medical test. Because many metrics of test performance are of interest, the meta-analysis of medical tests is more complex than the meta-analysis of interventions or associations. Sometimes, a helpful way to summarize medical test studies is to provide a “summary point”, a summary sensitivity and a summary specificity. Other times, when the sensitivity or specificity estimates vary widely or when the test threshold varies, it is more helpful to synthesize data using a “summary line” that describes how the average sensitivity changes with the average specificity. Choosing the most helpful summary is subjective, and in some cases both summaries provide meaningful and complementary information. Because sensitivity and specificity are not independent across studies, the meta-analysis of medical tests is fundamentaly a multivariate problem, and should be addressed with multivariate methods. More complex analyses are needed if studies report results at multiple thresholds for positive tests. At the same time, quantitative analyses are used to explore and explain any observed dissimilarity (heterogeneity) in the results of the examined studies. This can be performed in the context of proper (multivariate) meta-regressions

ROBINS-I: a tool for assessing risk of bias in non-randomized studies of interventions

Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I ("Risk Of Bias In Non-randomised Studies-of Interventions"), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies

Efficacy of powered mechanical lifting devices to minimize loads to the lower back

grantor: University of TorontoMechanical lifting devices (MELD) are recommended as an important intervention for reducing lifting injuries among nursing personnel. The literature evaluating MLD suggests that spinal loads are not minimized for all device types. A laboratory study was undertaken to evaluate the efficacy (or ability to minimize spinal loads) of powered MLD with respect to: (1) spinal compression forces relative to the NIOSH Action Limit of 3400 N, (2) literature estimates of spinal loads sustained while performing the transfer task manually (one-person/two person), and (3) a standard device, Hoyer lift. The primary outcomes of the study were spinal compression, anterior shear (across different loading conditions), and ratings of perceived exertion (RPE). An Extra-Period Latin Square design was employed to evaluate five powered MLD (three Floor and two Overhead types) and five registered Nurses while performing the heavy transfer task, from bed to chair. A single patient subject was selected and trained to remain passive throughout the transfer task (simulating a totally passive patient). Three dimensional position data (OPTOTRAK) and ground reaction forces (AMTI forceplates) were inputs for the spinal model. An inverse dynamic approach was used to calculate the net joint forces and moments about the L5/S1 spinal level. The transfer was partitioned into seven distinct phases for biomechanical analysis. The within Nurse test-re-test reliability for the compression outcomes was high for the majority of phases and loading conditions indicating the nurse was consistent in performing the transfer task. The NIOSH limit was exceeded for 20% of the trials and all Nurses exceeded the limit with the use of Floor MLD. The mean compression values were lower than reported estimates of performing this transfer manually, suggesting that MLD are efficacious. Efficacy with respect to a standard device varied as a function of the phase of the transfer. In general, Overhead Devices were found to be efficacious relative to the standard and had decreased forces for the whole transfer. Floor devices were efficacious for some outcomes in some phases of the transfer task. The results of this study have implications for the use and selection of MLD as part of a strategy to reduce back injuries.Ph.D

Patient Decisional Needs Assessment for those Seeking Physiotherapy Care for Neck Pain

The literature shows a paucity of research related to shared decision-making for neck pain and the use of mobilization and manipulative therapies. The purpose of our research was to administer a survey that establishes information needs and areas of decisional conflict when considering physical therapy for neck pain where mobilization and manipulation therapies are to the treatment of choic

Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial Intelligence

Ovarian cancer is the second most dangerous gynecologic cancer with a high mortality rate. The classification of gene expression data from high-dimensional and small-sample gene expression data is a challenging task. The discovery of miRNAs, a small non-coding RNA with 18-25 nucleotides in length that regulates gene expression, has revealed the existence of a new array for regulation of genes and has been reported as playing a serious role in cancer. By using LASSO and Elastic Net as embedded algorithms of feature selection techniques, the present study identified 10 miRNAs that were regulated in ovarian serum cancer samples compared to non-cancer samples in public available dataset GSE106817: hsa-miR-5100, hsa-miR-6800-5p, hsa-miR-1233-5p, hsa-miR-4532, hsa-miR-4783-3p, hsa-miR-4787-3p, hsa-miR-1228-5p, hsa-miR-1290, hsa-miR-3184-5p, and hsa-miR-320b. Further, we implemented state-of-the-art machine learning classifiers, such as logistic regression, random forest, artificial neural network, XGBoost, and decision trees to build clinical prediction models. Next, the diagnostic performance of these models with identified miRNAs was evaluated in the internal (GSE106817) and external validation dataset (GSE113486) by ROC analysis. The results showed that first four prediction models consistently yielded an AUC of 100%. Our findings provide significant evidence that the serum miRNA profile represents a promising diagnostic biomarker for ovarian cancer

Effects of dance on cognitive function among older adults: a protocol for systematic review and meta-analysis

Abstract Background Cognitive impairment is characterized by problems in thinking, memory, language, and judgment that are greater than cognitive changes in normal aging. Considering the unprecedented growth of the older adult population and the projected increase in the prevalence of cognitive impairment, it is imperative to find effective strategies to improve or maintain cognitive function in older adults. The objective of this review is to summarize the effects of dance versus any other control group on cognitive function, physical function, adverse events, and quality of life in older adults. Method We will search the following databases MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) to identify the randomized controlled trials (RCTs) evaluating the effects of dance on cognitive function among older adults. Also, we will search http://apps.who.int/trialsearch, clinicaltrials.gov and conference abstracts to identify ongoing and unpublished studies. There will be no restrictions on language, date, or journal of publication. Reviewers will independently and in duplicate screen for eligible studies using pre-defined criteria. Data extraction from eligible studies will be performed independently and in duplicate. The Cochrane risk of bias tool will be used to assess the risk of bias of studies. Our primary outcome of interest is cognitive function, more specifically the executive function domain. We will include other domains as well such as processing speed and reaction time. Secondary outcomes of interest are physical function. The secondary outcomes also include adverse events including falls and quality of life. We will use Review Manager (RevMan 5.3) to pool the effect of dance for each outcome where possible. Results will be presented as relative risks along with 95% confidence intervals for dichotomous outcomes and as mean differences, or standardized mean differences along with 95% confidence intervals, for continuous outcomes. We will assess the certainty of the evidence using the GRADE approach and present findings in a Summary of Findings table. Discussion This systematic review, to our best knowledge the first-ever, will synthesize the available evidence on the effects of dance on cognitive function among older people. Systematic review registration PROSPERO CRD4201705713