The Victorian Institute of Sport Assessment Scale for Patellar Tendinopathy (VISA-P): A Reliability Generalization Meta-analysis.

OBJECTIVE: The Victorian Institute of Sport Assessment-Patella (VISA-P) is a questionnaire to assess the severity of patellar tendinopathies. Its use requires good reliability indicators: internal consistency, test-retest and parallel forms. Several studies have been published examining this question, but to date the reliability of this questionnaire (meta-analysis) has not been generalized. The aim of this study was to perform a meta-analysis to generalize the reliability of the VISA-P. DATA SOURCES: MEDLINE, EMBASE, and Scopus. STUDY SELECTION: Studies included were those examining the reliability coefficients of the VISA-P: Cronbach alpha, intraclass correlation coefficient (ICC), and parallel-forms (correlation coefficients compared with other scales). DATA EXTRACTION: All coefficients were extracted and the mean reliability was obtained using fixed- or random-effects models. Sensitivity (leave-one-out analysis) was analyzed. Quality assessment was performed using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. DATA SYNTHESIS: Of 364 scientific articles, 12 fulfilled meta-analysis criteria. The summary statistic was 0.86 [95% confidence interval (CI): 0.78-0.92] for Cronbach alpha and 0.94 (95% CI: 0.89-0.97) for the ICC. Parallel forms depended on the comparative test used, ranging from -0.83 to 0.68. The sensitivity analysis found an influential study for the parallel-forms reliability in the Blazina score. We were unable to analyze the asymmetry of funnel plots and meta-regression models because of the number of studies. CONCLUSIONS: The reliability of VISA-P for assessing the severity of patellar tendinopathies requires greater evaluation with more scientific evidence before it can be implemented in clinical practice.

Clinical effectiveness of a cardiology outpatient management plan to reduce inefficiency in consultations.

Objectives: Longer delays in carrying out complementary tests in cardiology services have resulted in patients arriving for consultation without these tests being performed (inefficient consultations). To ameliorate this situation, a management-based intervention was designed, optimizing the available resources and modifying the appointment system. Therefore, our objective was to determine the effectiveness of this intervention to reduce the number of inefficient consultations and improve the clinical care process.Methods: A non-randomized experimental study comparing two periods (pre- and post-intervention) was designed, analyzing a total of 473 outpatients attending cardiology consultations in a Spanish region in February 2014 (pre-intervention) and 441 patients attending cardiology consultations in November 2014 (post-intervention). The outcome of management measures aimed at optimizing coordination in outpatient care to reduce inefficient consultations was analyzed. After the visit, treatment modifications, requests for new examinations or tests, outpatient discharges, and new diagnoses were evaluated.Results: In the pre-intervention period, 37.2% of the patients had not had the tests performed, while in the post-intervention period, this figure dropped to 10.7% (p < 0.001). When the patients had all the tests completed, there was an increase in the number of new examinations (p < 0.001), outpatient discharges (p < 0.001) and new diagnoses (p = 0.004). Treatment modifications were not significant (p = 0.223).Conclusions: The intervention proved effective, clinically relevant, and statistically significant in reducing the proportion of inefficient consultations, thereby enabling continuation of the clinical care process.

Clinical relevance of an intervention assessed by a meta-analysis of randomized clinical trials.

OBJECTIVES: Many meta-analyses usually omit the number needed to treat, or perform the calculation incorrectly, despite its importance in clinical decision-making. Accordingly, we will explain in an easily understandable way how to perform this procedure to assess the clinical relevance of the intervention. STUDY DESIGN AND SETTING: The expressions of the Cochrane Library and the concepts of clinical relevance and evidence-based medicine were applied. Simple cutoff points were also established to facilitate the task of interpreting results. The method was applied to two published meta-analyses to illustrate its application to real cases (treatment nonadherence). RESULTS: In the first example, with a risk in the control group ranging from 0.22 to 0.70, sending mobile phone messages to remind chronic patients to take their medication is clinically relevant with a high degree of evidence. For the second example (single-pill regimen in patients suffering from hypertension and/or dyslipidemia after 6 months), the range of the assumed control risk was between 0.28 and 0.57. CONCLUSION: The constructed algorithm could be applied to published meta-analyses or incorporated systematically in all meta-analyses with these characteristics.

Development, and Internal, and External Validation of a Scoring System to Predict 30-Day Mortality after Having a Traffic Accident Traveling by Private Car or Van: An Analysis of 164,790 Subjects and 79,664 Accidents.

Predictive factors for fatal traffic accidents have been determined, but not addressed collectively through a predictive model to help determine the probability of mortality and thereby ascertain key points for intervening and decreasing that probability. Data on all road traffic accidents with victims involving a private car or van occurring in Spain in 2015 (164,790 subjects and 79,664 accidents) were analyzed, evaluating 30-day mortality following the accident. As candidate predictors of mortality, variables associated with the accident (weekend, time, number of vehicles, road, brightness, and weather) associated with the vehicle (type and age of vehicle, and other types of vehicles in the accident) and associated with individuals (gender, age, seat belt, and position in the vehicle) were examined. The sample was divided into two groups. In one group, a logistic regression model adapted to a points system was constructed and internally validated, and in the other group the model was externally validated. The points system obtained good discrimination and calibration in both the internal and the external validation. Consequently, a simple tool is available to determine the risk of mortality following a traffic accident, which could be validated in other countries.

A general presentation on how to carry out a CHARMS analysis for prognostic multivariate models.

The CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist was created to provide methodological appraisals of predictive models, based on the best available scientific evidence and through systematic reviews. Our purpose is to give a general presentation on how to carry out a CHARMS analysis for prognostic multivariate models, making clear what the steps are and how they are applied individually to the studies included in the systematic review. This tutorial is aimed at providing such a resource. In addition to this explanation, we will apply the method to a real case: predictive models of atrial fibrillation in the community. This methodology could be applied to other predictive models using the steps provided in our review so as to have complete information for each included model and determine whether it can be implemented in daily clinical practice.

Clusters of Cardiovascular Risk Factors and Their Impact on the 20-Year Cardiovascular Risk in a General Population.

BACKGROUND: Clustering of cardiovascular risk factors (CVRFs) is extraordinarily common and is associated with an increased risk of cardiovascular disease (CVD). However, the particular impact of the sum of CVRFs on cardiovascular morbidity and mortality has not been sufficiently explored in Europe. OBJECTIVE: The aim of this study was to analyze the differences in survival-free probability of CVD in relation to the number of CVRFs in a Spanish population. METHODS: A prospective cohort study was conducted from 1992 to 2016 in a Spanish population that included 1144 subjects with no history of CVD (mean age, 46.7 years) drawn from the general population. We calculated the number of CVRFs for each subject (male sex, smoking, diabetes, hypertension, dyslipidemia, obesity, and left ventricular hypertrophy). Cardiovascular morbidity and mortality records were collected, and survival analysis was applied (competing risk models). RESULTS: There were 196 cardiovascular events (17.1%). The differences in total survival-free probability of cardiovascular morbidity and mortality of the different values of the sum of CVRFs were significant, increasing the risk of CVD (hazard ratio, 1.30; 95% confidence interval, 1.13-1.50) per each additional risk factor. CONCLUSION: Differences in survival-free probability of CVD in relation to the number of CVRFs present were statistically significant. Further studies are needed to corroborate our results.

A critical appraisal of the clinical applicability and risk of bias of the predictive models for mortality and recurrence in patients with oropharyngeal cancer: Systematic review.

The use of predictive models is becoming widespread. However, these models should be developed appropriately (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies [CHARMS] and Prediction model Risk Of Bias ASsessment Tool [PROBAST] statements). Concerning mortality/recurrence in oropharyngeal cancer, we are not aware of any systematic reviews of the predictive models. We carried out a systematic review of the MEDLINE/EMBASE databases of those predictive models. In these models, we analyzed the 11 domains of the CHARMS statement and the risk of bias and applicability, using the PROBAST tool. Six papers were finally included in the systematic review and all of them presented high risk of bias and several limitations in the statistical analysis. The applicability was satisfactory in five out of six studies. None of the models could be considered ready for use in clinical practice.

A systematic review of predictive models for recurrence and mortality in patients with tongue cancer.

INTRODUCTION: Predictive models must meet clinical/methodological standards to be used in clinical practice. However, no critique of those models relating to mortality/recurrence in tongue cancer has been done bearing in mind the accepted standards. METHODS: We conducted a systematic review evaluating the methodology and clinical applicability of predictive models for mortality/recurrence in tongue cancer published in MEDLINE and Scopus. For each model, we analysed (domains of CHARMS, Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies) the following: source of data, participants, outcome to be predicted, candidate predictors, sample size, missing data, model development, model performance, model evaluation, results and interpretation and discussion. RESULTS: We found two papers that included eight prediction models, neither of which adhered to the CHARMS recommendations. CONCLUSION: Given the quality of tongue cancer models, new studies following current consensus are needed to develop predictive tools applicable in clinical practice.

A Reliability Generalization Meta-Analysis of the Victorian Institute of Sport Assessment Scale for Achilles Tendinopathy (VISA-A).

BACKGROUND:: A reliability generalization study of a questionnaire is necessary to provide higher-level evidence for its reliability. This has not been performed for the Victorian Institute of Sport Assessment-Achilles tendinopathy (VISA-A) questionnaire. The VISA-A has been a commonly used questionnaire to evaluate the symptoms of Achilles tendon disorders and their impact on physical activity, one of the most common disorders among athletes and sports persons (9%-40%). Furthermore, this questionnaire has been translated to several languages and due to its simplicity is one of the most widely used questionnaires for patients with this type of disorder. Therefore, we performed a reliability generalization study of the VISA-A using MEDLINE (through PubMed) and Scopus as data sources. METHODS:: We selected studies that analyzed the reliability of the VISA-A by evaluating Cronbach's alpha, the intraclass correlation coefficient (ICC), and the Spearman correlation coefficients to compare VISA-A with similar scales. The data were analyzed using fixed- and random-effects models. We assessed sensitivity through the leave-one-out method. Quality analysis was performed using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. RESULTS:: Of a total of 263 studies (eliminating duplicates), 7 fulfilled inclusion criteria. The mean reliability was (1) Cronbach's alpha, 0.75 (95% CI, 0.70-0.79); (2) ICC, 0.91 (95% CI, 0.82-0.96); (3) correlation coefficient with the Curwin and Stanish grading system, -0.82 (95% CI, -0.93 to -0.56); and (4) correlation coefficient with the Percy and Conochie classification, 0.91 (95% CI, 0.87-0.93). We were unable to perform the funnel plot analysis and estimate meta-regression models. The Spearman correlation coefficients for both comparative scales showed influential studies (sensitivity analysis). CONCLUSION:: Internal consistency and reproducibility were found to be good, but the parallel-forms reliability could not be supported. Therefore, more scientific evidence is needed to generalize the reliability of the VISA-A. LEVEL OF EVIDENCE:: Level I, meta-analysis of literature.

Construction, internal validation and implementation in a mobile application of a scoring system to predict nonadherence to proton pump inhibitors.

BACKGROUND: Other studies have assessed nonadherence to proton pump inhibitors (PPIs), but none has developed a screening test for its detection. OBJECTIVES: To construct and internally validate a predictive model for nonadherence to PPIs. METHODS: This prospective observational study with a one-month follow-up was carried out in 2013 in Spain, and included 302 patients with a prescription for PPIs. The primary variable was nonadherence to PPIs (pill count). Secondary variables were gender, age, antidepressants, type of PPI, non-guideline-recommended prescription (NGRP) of PPIs, and total number of drugs. With the secondary variables, a binary logistic regression model to predict nonadherence was constructed and adapted to a points system. The ROC curve, with its area (AUC), was calculated and the optimal cut-off point was established. The points system was internally validated through 1,000 bootstrap samples and implemented in a mobile application (Android). RESULTS: The points system had three prognostic variables: total number of drugs, NGRP of PPIs, and antidepressants. The AUC was 0.87 (95% CI [0.83-0.91], p < 0.001). The test yielded a sensitivity of 0.80 (95% CI [0.70-0.87]) and a specificity of 0.82 (95% CI [0.76-0.87]). The three parameters were very similar in the bootstrap validation. CONCLUSIONS: A points system to predict nonadherence to PPIs has been constructed, internally validated and implemented in a mobile application. Provided similar results are obtained in external validation studies, we will have a screening tool to detect nonadherence to PPIs.

Non-guideline-recommended prescribing of proton pump inhibitors in the general population.

OBJECTIVES: To determine the magnitude of non-guideline-recommended prescribing (NGRP) of proton pump inhibitors (PPIs) in the general population, its associated factors and expense. METHODS: We undertook a cross-sectional observational study in three community pharmacies in a Spanish region in 2013 involving a total of 302 patients with a prescription for PPIs. The main variable was the NGRP of PPIs. Secondary variables were: gender, age, antidepressants, osteoporosis, osteoarthritis, prescription cost per month and total number of chronic diseases. The cost associated with NGRP was calculated. To evaluate the associated factors, a multivariate binary logistic regression model was constructed and the adjusted odds ratios (OR) were obtained. RESULTS: NGRP was observed in 192 cases (63.6%). The average cost associated with NGRP per prescription was 3.24 euros per month. The factors significantly associated with NGRP (p < .05) were: antidepressants (OR = 2.66, p = .001), osteoporosis (OR = 3.53, p = .001), osteoarthritis (OR = 3.57, p < .001) and number of chronic diseases (OR = 0.73, p = .003). CONCLUSION: A novel approach was used to quantify the NGRP of PPIs in a Spanish community, as well as the associated economic costs. Qualitative studies are needed to better understand the causes of NGRP of PPIs. This analysis will aid in designing interventions to minimize this problem. LIMITATIONS: Qualitative studies are needed to better understand the attitude of health professionals when prescribing PPIs.