Developing and evaluating an online learning tool to improve midwives' accuracy of visual estimation of blood loss during waterbirth: An experimental study.

OBJECTIVE: The principal objective was to test the effectiveness of an online learning tool to improve midwives' accuracy of blood loss estimations in a birthing pool environment. The secondary objective was to assess the acceptability of the online learning tool to the midwives using it. DESIGN: A one group pre-test, post-test experiment with immediate and six weeks follow-up to test ability together with an online questionnaire to assess perceived usefulness of an online learning tool. SETTING: A large NHS maternity hospital comprising an acute care obstetric unit, a small district unit labour ward, one alongside midwifery-led unit and three freestanding midwifery-led units. PARTICIPANTS: Volunteer NHS employed midwives who had experience in caring for women labouring and giving birth in water (n = 24). INTERVENTION: An online learning tool comprising six randomly ordered short video simulations of blood loss in a birthing pool in real time, and a tutorial giving verbal and pictorial guidance on making accurate blood loss estimations in water was developed then piloted. Midwives' accuracy scores for estimating blood loss in each of the videos were calculated at three timepoints; pre and immediately post the learning component, and six weeks later. The estimated blood loss volume was subtracted from the actual blood loss volume, to give the difference between estimated and real blood loss in millilitres (ml) which was then converted to percentage difference to standardise comparison across the six volumes. The differences between pre- and post-learning for each of the six blood volumes was analysed using a repeated measures ANOVA. Statistical significance was set at p < 0.05. An online questionnaire incorporated questions using Likert scales to gauge confidence and competence and free text. Free text responses were analysed using a modified form of inductive content analysis. FINDINGS: Twenty-two midwives completed the online learning and immediate post-test, 14 completed a post-test after six weeks, and 15 responded to the online questionnaire. Pre-test results showed under-estimation of all blood loss volumes and particularly for the two largest volumes (1000 and 1100 ml). Across all volumes, accuracy of estimation was significantly improved at post-test 1. Accuracy diminished slightly, but overall improvement remained, at post-test 2. Participants rated the online tool positively and made suggestions for refining it. KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: This is the first study measuring the accuracy of midwives' blood loss estimations in a birthing pool using real-time simulations and testing the effectiveness of an online learning tool to improve this important skill. Our findings indicate a need to develop interventions to improve midwives' accuracy at visually estimating blood loss in water, and the potential of an online approach. Most women who labour and/or give birth in water do so in midwifery-led settings without immediate access to medical support. Accuracy in blood loss estimations is an essential core skill.

Selection criterion of work matrix as a function of limiting estimates of the covariance matrix of correlated data in GEE.

The modeling of generalized estimating equations used in the analysis of longitudinal data whether in continuous or discrete variables, necessarily requires the prior specification of a correlation matrix in its iterative process in order to obtain the estimates of the regression parameters. Such a matrix is called working correlation matrix and its incorrect specification produces less efficient estimates for the model parameters. Due to this fact, this study aims to propose a selection criterion of working correlation matrix based on the covariance matrix estimates of correlated responses resulting from the limiting values of the association parameter estimates. For validation of the criterion, we used simulation studies considering normal and binary correlated responses. Compared to some criteria in the literature, it was concluded that the proposed criterion resulted in a better performance when the correlation structure for exchangeable working correlation matrix was considered as true structure in the simulated samples and for large samples, the proposed criterion showed similar behavior to the other criteria, resulting in higher success rates.

Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford's Law.

OBJECTIVE: Newcomb-Benford's Law (NBL) proposes a regular distribution for first digits, second digits and digit combinations applicable to many different naturally occurring sources of data. Testing deviations from NBL is used in many datasets as a screening tool for identifying data trustworthiness problems. This study aims to compare public available waiting lists (WL) data from Finland and Spain for testing NBL as an instrument to flag up potential manipulation in WLs. DESIGN: Analysis of the frequency of Finnish and Spanish WLs first digits to determine if their distribution is similar to the pattern documented by NBL. Deviations from the expected first digit frequency were analysed using Pearson's χ2, mean absolute deviation and Kuiper tests. SETTING/PARTICIPANTS: Publicly available WL data from Finland and Spain, two countries with universal health insurance and National Health Systems but characterised by different levels of transparency and good governance standards. MAIN OUTCOME MEASURES: Adjustment of the observed distribution of the numbers reported in Finnish and Spanish WL data to the expected distribution according to NBL. RESULTS: WL data reported by the Finnish health system fits first digit NBL according to all statistical tests used (p=0.6519 in χ2 test). For Spanish data, this hypothesis was rejected in all tests (p<0.0001 in χ2 test). CONCLUSIONS: Testing deviations from NBL distribution can be a useful tool to identify problems with WL data trustworthiness and signalling the need for further testing.

Do estimates of blood loss differ between student midwives and midwives? A multicenter cross-sectional study.

OBJECTIVE: the principal objective of this study was to assess the quality of blood loss estimates by midwives and student midwives. The secondary objectives were: to assess the intraobserver agreement of visual blood estimates and the rate of underestimation of blood loss by participants, and to estimate the sensitivity, specificity, and negative likelihood ratio of these estimates for clinically pertinent blood losses (≥ 500mL and ≥ 1000mL). DESIGN: multicenter cross-sectional study. SETTING: thirty-three French maternity units and 35 French midwifery schools participated in this study. PARTICIPANTS: volunteer French midwifery students (n = 463) and practicing midwives (n = 578). INTERVENTION: an online survey showed 16 randomly ordered photographs of 8 different simulated blood quantities (100, 150, 200, 300, 500, 850, 1000, and 1500mL) with a reference 50-mL image in each photo and asked participants to estimate the blood loss. The visual blood loss estimates were compared with Fisher's exact test. Intraobserver agreement for these estimates was assessed with a weighted kappa coefficient, and the negative predictive values (probability of no hemorrhage when visual estimate was negative) were calculated from prevalence rates in the literature. FINDINGS: of the 16,656 estimates obtained, 34.1% were accurate, 37.2% underestimated the quantity presented, and 28.7% overestimated it. Analyses of the intraobserver reproducibility between the two estimates of the same photograph showed that agreement was highest (weighted kappa ≥ 0.8) for the highest values (1000mL, 1500mL). For each volume considered, students underestimated blood loss more frequently than midwives. In both groups, the negative predictive values regarding postpartum hemorrhage (PPH) diagnosis (severe or not) were greater than 98%. KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: student midwives tended to underestimate the quantity of blood loss more frequently than the midwives. Postpartum hemorrhage (≥ 500mL) was always identified, but severe postpartum hemorrhage (≥ 1000mL) was identified in fewer than half the cases. These results should be taken into account in training both student midwives and practicing professionals.

Creating falseness-How to establish statistical evidence of the untrue.

Null hypothesis significance testing is the typical statistical approach in search of the truthfulness of hypotheses. This method does not formally consider the prior credence in the hypothesis, which affects the chances of reaching correct conclusions. When scientifically implausible or empirically weakly supported hypotheses are tested, there is an increased risk that a positive finding in a test in fact is false positive. This article argues that when scientifically weakly supported hypotheses are tested repeatedly-such as when studying the clinical effects of homeopathy-the accumulation of false positive study findings will risk providing false evidence also in systematic reviews and meta-analyses. False positive findings are detrimental to science and society, as once published, they accumulate persistent untrue evidence, which risks giving rise to nonpurposive research programmes, policy changes, and promotion of ineffective treatments. The problems with false positive findings are discussed, and advice is given on how to minimize the problem. The standard of evidence of a hypothesis should depend not only on the results of statistical analyses but also on its a priori support. Positive findings from studies investigating hypotheses with poor theoretical and empirical foundations should be viewed as tentative until the results are replicated and/or the hypothesis gains more empirical evidence supporting it as likely to be true.

Placing the patient at the centre of chronic wound care: A qualitative evidence synthesis.

BACKGROUND: Chronic wounds are a major health burden and have a severe impact on well-being. This synthesis of qualitative studies was undertaken to inform a health technology assessment of antimicrobial wound dressings. It aimed to explore patients' experiences of chronic wounds and determine improvements for clinical practice. METHOD: Inclusion criteria included use of qualitative methods, and English language publication. Databases searched included MEDLINE (Ovid), MEDLINE in Process (Ovid), EMBASE (Ovid), CINAHL (EBSCOHost), and PsychInfo (EBSCOHost). Searches were limited to 1990-2014. The method of analysis was Framework synthesis. RESULTS: A total of 20 studies were included. The synthesis confirmed the severe physical, social and psychological impact of the chronic wound. Inadequately controlled pain and sleeplessness, restrictions to lifestyle, and the loss of previous life roles can lead to feelings of hopelessness and helplessness and therefore depression and anxiety. Dressings and dressing changes are a key aspect of treatment and provide opportunities for positive interaction and person centred-care. CONCLUSION: People with chronic wounds can be supported to live well within the severe physical, psychological and social restrictions of a chronic wound. Effective clinical pain management and the recognition of the experience of acute and chronic pain are of the utmost importance to people with a chronic wound. Treatment should not be purely focused on healing but incorporate symptom management, coping and wellbeing via person-centred and holistic care.

Developing PreDICT - a fully integrated data platform for preclinical in vivo data: learning from experience.

In vivo models have been crucial for developing our understanding of key processes associated with human disease and developing novel therapeutics. These in vivo studies are becoming increasingly complex, requiring long-term efficacy data and additional supportive datasets such as pharmacokinetic profiles and analysis of multiple biomarkers of pharmacodynamic response and efficacy. Moreover, a new agent will be investigated in many different models and often in combination with other drugs. Despite advances across the industry integrating and analysing complex datasets, management of in vivo data remains an ongoing challenge across the industry. Here, we describe a project that has successfully delivered a working solution to integrate pharmacokinetic, biomarker and efficacy data, independent of therapy area.

ProC-TEL: Profiling of Protein C-Termini by Enzymatic Labeling.

Proteins are frequently processed by proteases in cell signaling pathways to perform their biological functions in response to environmental stimuli. Identification of the exact cleavage sites provides necessary information for the study of their biological functions. Although proteomic approaches for profiling of protein N-termini have been developed extensively in the past few years, the N-terminal profiling strategy has its inherent disadvantages. Therefore, C-terminal profiling approaches might be a complementary approach for the identification of protein cleavages although it has similar shortcomings as N-terminal profiling methods. In this protocol, we describe an approach, termed ProC-TEL: Profiling of Protein C-Termini by Enzymatic Labeling, for affinity labeling of protein C-termini for a protein or proteome. This method uses the transpeptidase activity of carboxypeptidase Y to label protein C-termini with an affinity biotin tag for subsequent isolation with avidin beads and identification by mass spectrometer. It is complementary to the N-terminal profiling approaches and can be used to identify proteolytic cleavages for a specific protease or in cell signaling events, such as apoptosis.

Accuracy of clinical fetal weight estimation by Midwives.

BACKGROUND: Clinical fetal weight estimation is a common practice in obstetrics. This study aims to evaluate the accuracy of fetal weight estimation by midwives, and to identify factors that may lead to overestimation or underestimation of fetal weight. METHODS: A cohort prospective study in a Lebanese university hospital, included weight estimation of singleton pregnancies above 35 weeks. Multiple pregnancies, unclear dating, growth retardation, malformations and stillbirths cases are excluded. The estimated fetal weight is recorded by midwives in a sealed envelope and compared to true weight later. The effects of BMI, weight gain, parity, diabetes, hypertension, neonate's sex and weight, uterine contractions, rupture of membranes and daytime or nighttime shift on these estimations were assessed. RESULTS: One hundred and sixty-six patients were included. Mean birth weight was 3246 ± 362 g. Mean absolute percentage error of weight estimation was 8.5 ± 6.7% (0-30.9%). Estimation was within the correct range of ±10% in 63% of cases. Maternal and fetal factors did not significantly change weight estimation. Fetuses with birth weights more than 4000 tended to be underestimated by midwives. Estimation improved over time (nonsignificant). CONCLUSIONS: Maternal and fetal factors, except for macrosomia, have limited impact on estimation of fetal birth weight. Macrosomia is challenging because of a consistent tendency of underestimation by midwives.

Validation of a hand-held point of care device for lactate in adult and pediatric patients using traditional and locally-smoothed median and maximum absolute difference curves.

BACKGROUND: Lactate is commonly used in septic patients and is a viable biomarker for trauma patients. Its pre-hospital use could assist triaging and managing patients with these conditions. METHODS: We evaluated the analytical performance of the point-of-care (POC) StatStrip Xpress Lactate Meter (Nova Biomedical) and compared it to the ABL 800 (Radiometer). We measured lactate in 250 adult and 250 pediatric whole blood samples in 2 laboratories. The performance of the POC meter was assessed by traditional linear regression and Bland-Altman plots, and locally-smoothed (LS) median absolute difference and maximum absolute difference (MAD and MaxAD) curves. RESULTS: The StatStrip was linear with acceptable reproducibility at clinically relevant concentrations. Correlation with the ABL800 showed a negative bias for both populations with slope, bias ±SD (% bias) of 0.78, -0.4±0.7 (-14.5%) in children and 0.80-0.3±0.6 (-13.3%) in adults. The proportional bias appeared more significant at concentrations >4mmol/l (36.0mg/dl). The StatStrip misclassified 7.6 and 8.8% pediatric and adult samples, respectively, to lower risk categories defined using guidelines driven cut-offs. The LS MAD curves identified one breakout, concentration where the LS MAD exceeds the total allowable error limit of 0.3mmol/l (2.7mg/dl), at lactate concentrations of 3.8 and 3.2mmol/l (34.2 and 28.8mg/dl) in the pediatric and adult curves, respectively. Breakthroughs, points at which the LS MaxAD curve exceeds the 95th percentile of MaxADs, occur at concentrations above 7.5mmol/l (67.6mg/dl) for both populations where the performance of the POC meter became erratic. We concluded that if serial lactate measurements are performed, the same method should be used for baseline and follow up measurements. The LS MAD and LS MaxAD curves allowed visual and quantitative mapping of the performance of the lactate POC meter over the range of concentrations measured. CONCLUSIONS: This approach seems useful for the identification of points at which the performance of a POC meter differs significantly from a comparison method and thresholds of poor analytical performance.

Dofetilide in Overdose: A Case Series from Poison Center Data.

Dofetilide is a class III antiarrhythmic used for treating atrial dysrhythmias. Though its adverse effects are well described in routine use, very little is known about dofetilide toxicity in overdose. This is a retrospective case series of consecutive patients reported to our poison center after dofetilide overdose. Twenty-seven cases were included. Seventeen patients were treated at a healthcare facility, and of these, eight were admitted. Twenty-one patients took one extra capsule, four took someone else's medication, one took three extra capsules, and one had a large intentional overdose. Ten patients had co-ingestants reported, including three QT-prolonging agents. No one required cardioversion, defibrillation, CPR, or overdrive pacing. The patient who reported taking 90 times his usual dose in suicide attempt was the only patient to have significant clinical effects. He experienced an 8-beat run of non-sustained ventricular tachycardia, frequent multifocal PVCs, and ventricular bigeminy. He received magnesium sulfate and potassium chloride supplementation. In this series, unintentional small overdoses did not result in significant clinical effects and were often managed successfully at home, despite the fact that information showing a single capsule can cause torsades. This study is limited by its small sample size, retrospective design, and reliance on incomplete information.

Integrated Care and Connected Health Approaches Leveraging Personalised Health through Big Data Analytics.

Integrated care and connected health are two fast evolving concepts that have the potential to leverage personalised health. From the one side, the restructuring of care models and implementation of new systems and integrated care programs providing coaching and advanced intervention possibilities, enable medical decision support and personalized healthcare services. From the other side, the connected health ecosystem builds the means to follow and support citizens via personal health systems in their everyday activities and, thus, give rise to an unprecedented wealth of data. These approaches are leading to the deluge of complex data, as well as in new types of interactions with and among users of the healthcare ecosystem. The main challenges refer to the data layer, the information layer, and the output of information processing and analytics. In all the above mentioned layers, the primary concern is the quality both in data and information, thus, increasing the need for filtering mechanisms. Especially in the data layer, the big biodata management and analytics ecosystem is evolving, telemonitoring is a step forward for data quality leverage, with numerous challenges still left to address, partly due to the large number of micro-nano sensors and technologies available today, as well as the heterogeneity in the users' background and data sources. This leads to new R&D pathways as it concerns biomedical information processing and management, as well as to the design of new intelligent decision support systems (DSS) and interventions for patients. In this paper, we illustrate these issues through exemplar research targeting chronic patients, illustrating the current status and trends in PHS within the integrated care and connected care world.

Experimental variability and data pre-processing as factors affecting the discrimination power of some chemometric approaches (PCA, CA and a new algorithm based on linear regression) applied to (+/-)ESI/MS and RPLC/UV data: Application on green tea extracts.

The influence of the experimental variability (instrumental repeatability, instrumental intermediate precision and sample preparation variability) and data pre-processing (normalization, peak alignment, background subtraction) on the discrimination power of multivariate data analysis methods (Principal Component Analysis -PCA- and Cluster Analysis -CA-) as well as a new algorithm based on linear regression was studied. Data used in the study were obtained through positive or negative ion monitoring electrospray mass spectrometry (+/-ESI/MS) and reversed phase liquid chromatography/UV spectrometric detection (RPLC/UV) applied to green tea extracts. Extractions in ethanol and heated water infusion were used as sample preparation procedures. The multivariate methods were directly applied to mass spectra and chromatograms, involving strictly a holistic comparison of shapes, without assignment of any structural identity to compounds. An alternative data interpretation based on linear regression analysis mutually applied to data series is also discussed. Slopes, intercepts and correlation coefficients produced by the linear regression analysis applied on pairs of very large experimental data series successfully retain information resulting from high frequency instrumental acquisition rates, obviously better defining the profiles being compared. Consequently, each type of sample or comparison between samples produces in the Cartesian space an ellipsoidal volume defined by the normal variation intervals of the slope, intercept and correlation coefficient. Distances between volumes graphically illustrates (dis)similarities between compared data. The instrumental intermediate precision had the major effect on the discrimination power of the multivariate data analysis methods. Mass spectra produced through ionization from liquid state in atmospheric pressure conditions of bulk complex mixtures resulting from extracted materials of natural origins provided an excellent data basis for multivariate analysis methods, equivalent to data resulting from chromatographic separations. The alternative evaluation of very large data series based on linear regression analysis produced information equivalent to results obtained through application of PCA an CA.

Three-dimensional dominant frequency mapping using autoregressive spectral analysis of atrial electrograms of patients in persistent atrial fibrillation.

BACKGROUND: Areas with high frequency activity within the atrium are thought to be 'drivers' of the rhythm in patients with atrial fibrillation (AF) and ablation of these areas seems to be an effective therapy in eliminating DF gradient and restoring sinus rhythm. Clinical groups have applied the traditional FFT-based approach to generate the three-dimensional dominant frequency (3D DF) maps during electrophysiology (EP) procedures but literature is restricted on using alternative spectral estimation techniques that can have a better frequency resolution that FFT-based spectral estimation. METHODS: Autoregressive (AR) model-based spectral estimation techniques, with emphasis on selection of appropriate sampling rate and AR model order, were implemented to generate high-density 3D DF maps of atrial electrograms (AEGs) in persistent atrial fibrillation (persAF). For each patient, 2048 simultaneous AEGs were recorded for 20.478 s-long segments in the left atrium (LA) and exported for analysis, together with their anatomical locations. After the DFs were identified using AR-based spectral estimation, they were colour coded to produce sequential 3D DF maps. These maps were systematically compared with maps found using the Fourier-based approach. RESULTS: 3D DF maps can be obtained using AR-based spectral estimation after AEGs downsampling (DS) and the resulting maps are very similar to those obtained using FFT-based spectral estimation (mean 90.23 %). There were no significant differences between AR techniques (p = 0.62). The processing time for AR-based approach was considerably shorter (from 5.44 to 5.05 s) when lower sampling frequencies and model order values were used. Higher levels of DS presented higher rates of DF agreement (sampling frequency of 37.5 Hz). CONCLUSION: We have demonstrated the feasibility of using AR spectral estimation methods for producing 3D DF maps and characterised their differences to the maps produced using the FFT technique, offering an alternative approach for 3D DF computation in human persAF studies.

Narrative analysis: how students learn from stories of practice.

AIM: To describe and recommend a variety of data analysis methods when engaging in narrative research using story as an aid to nursing students' learning. BACKGROUND: Narrative research methodology is used in many nursing research studies. However, narrative research reports are generally unspecific regarding the analysis and interpretive process. DISCUSSION: This article examines the qualitative analytical approaches of Lieblich et al's ( 1998 ) narrative processes of holistic content and analysis of form, incorporated as overarching theories. To support these theories and to provide a more rounded analytical process, other authors' work is included. Approaching narrative analysis from different perspectives is recommended. For each cycle of analysis, it is important to conceptualise the analysis using descriptors drawn from the initial literature review and the initial text. Rigour and transparency are foremost, and tables are generated that reflect each stage of the analysis. The final stage of analysis is to clearly report, organise and present findings to reflect the richly varied and diverse potential of stories. CONCLUSION: Engaging in narrative research and then dealing with the large quantities of data to analyse can be daunting, difficult to manage and appear complex. It is also challenging and rewarding. With clear descriptors, examining the data using multiple lenses can serve to develop a greater level of insight into understanding nursing students' learning from their clinical experiences, presented as stories, when involved in the care of individuals. IMPLICATIONS FOR PRACTICE: There are many approaches to narrative analysis in nursing research and it can be difficult to establish the main research approach best suited to the study. There is no single way to define narrative analysis and a combination of strategies can be applied.

Multivariate data analysis and metabolic profiling of artemisinin and related compounds in high yielding varieties of Artemisia annua field-grown in Madagascar.

An improved liquid chromatography-tandem mass spectrometry (LC-MS/MS) protocol for rapid analysis of co-metabolites of A. annua in raw extracts was developed and extensively characterized. The new method was used to analyse metabolic profiles of 13 varieties of A. annua from an in-field growth programme in Madagascar. Several multivariate data analysis techniques consistently show the association of artemisinin with dihydroartemisinic acid. These data support the hypothesis of dihydroartemisinic acid being the late stage precursor to artemisinin in its biosynthetic pathway.

Timing in audiovisual speech perception: A mini review and new psychophysical data.

Recent influential models of audiovisual speech perception suggest that visual speech aids perception by generating predictions about the identity of upcoming speech sounds. These models place stock in the assumption that visual speech leads auditory speech in time. However, it is unclear whether and to what extent temporally-leading visual speech information contributes to perception. Previous studies exploring audiovisual-speech timing have relied upon psychophysical procedures that require artificial manipulation of cross-modal alignment or stimulus duration. We introduce a classification procedure that tracks perceptually relevant visual speech information in time without requiring such manipulations. Participants were shown videos of a McGurk syllable (auditory /apa/ + visual /aka/ = perceptual /ata/) and asked to perform phoneme identification (/apa/ yes-no). The mouth region of the visual stimulus was overlaid with a dynamic transparency mask that obscured visual speech in some frames but not others randomly across trials. Variability in participants' responses (~35 % identification of /apa/ compared to ~5 % in the absence of the masker) served as the basis for classification analysis. The outcome was a high resolution spatiotemporal map of perceptually relevant visual features. We produced these maps for McGurk stimuli at different audiovisual temporal offsets (natural timing, 50-ms visual lead, and 100-ms visual lead). Briefly, temporally-leading (~130 ms) visual information did influence auditory perception. Moreover, several visual features influenced perception of a single speech sound, with the relative influence of each feature depending on both its temporal relation to the auditory signal and its informational content.

A model on how to obtain data from botanical practitioners.

OBJECTIVE: This paper addresses the challenge on how to obtain information from practitioners with experience in using medicinal plants. BACKGROUND: Collecting information on medicinal uses of plants is very challenging; since botanical remedies are used within the context of multiple differing medical systems, practitioners differ in training from Western physicians and scientists, and active ingredients of botanicals vary with preparation method, growth, and harvest conditions. DESIGN/METHODS: A model on how useful data on safety and efficacy can be obtained from botanical practitioners is presented, based on methods developed by the association of anthroposophic physicians in Europe, a system of integrative medicine which includes the use of botanicals and is practiced mostly by medical doctors. RESULTS: Decades of experience by hundreds of practitioners are summarized and made accessible in a manual, which alphabetically lists the most commonly used botanicals and describes the most successful therapeutic experiences which could be confirmed by several of the contributing practitioners. CONCLUSIONS/RELEVANCE: This approach of continuous, multilingual systematic collection of successful therapeutic experiences within a community of practitioners with similar goals and a common therapeutic framework can be used not only for the training of successful future botanical practitioners, but also for helping to identify promising botanicals for scientific research and to further their development, and could support their official registration with governing bodies in countries of their use. This article is part of a Special Issue entitled "Botanicals for Epilepsy".

An analysis of the attrition of drug candidates from four major pharmaceutical companies.

The pharmaceutical industry remains under huge pressure to address the high attrition rates in drug development. Attempts to reduce the number of efficacy- and safety-related failures by analysing possible links to the physicochemical properties of small-molecule drug candidates have been inconclusive because of the limited size of data sets from individual companies. Here, we describe the compilation and analysis of combined data on the attrition of drug candidates from AstraZeneca, Eli Lilly and Company, GlaxoSmithKline and Pfizer. The analysis reaffirms that control of physicochemical properties during compound optimization is beneficial in identifying compounds of candidate drug quality and indicates for the first time a link between the physicochemical properties of compounds and clinical failure due to safety issues. The results also suggest that further control of physicochemical properties is unlikely to have a significant effect on attrition rates and that additional work is required to address safety-related failures. Further cross-company collaborations will be crucial to future progress in this area.

Tratamiento acupuntural y medicamentoso en el alivio de la cervicalgia / Drug and acupuncture therapies in neck pain relieving

INTRODUCCIÓN: el dolor cervical es considerado como uno de los síntomas más relevantes del de espalda, con una incidencia del 10 % de la población adulta, lo cual influye en la calidad de vida de las personas. OBJETIVO: comparar la eficacia de la acupuntura y del tratamiento medicamentoso para el alivio de la cervicalgia no traumática. MÉTODOS: estudio comparativo, abierto y aleatorizado en 100 pacientes de ambos sexos mayores de 18 años, seleccionados aleatoriamente en el municipio Marianao. Se conformaron dos grupos de 50 pacientes cada uno; al grupo A se le aplicó tratamiento con acupuntura y al grupo B terapia con analgésicos y antiinflamatorios no esteroideos. La evaluación comparativa de los resultados se realizó por la prueba de Mc Gill modificada, al quinto día y al final del tratamiento. Para el análisis y el procesamiento de los datos se utilizó la prueba de chi cuadrado. RESULTADOS: no hubo diferencias significativas para el alivio del dolor a favor de alguno de los tratamientos aplicados, aunque los pacientes tratados con acupuntura refirieron la mejora del dolor cervical, además de un menor tiempo de tratamiento. CONCLUSIÓN: ambos tratamientos son igualmente eficaces para el alivio de la cervicalgia, pero el acupuntural deviene en una terapia electiva a considerar por la rapidez en el alivio del dolor.

INTRODUCTION: the high incidence of cervical pain at the consultations of health areas has motivated this study, which was carried out during year in patients with neck pain diagnosis. 10 % of the population suffers cervical pain in a specific moment of their lives; it represents an important factor for their professional lives. OBJECTIVE: to compare the acupuncture efficacy and the medical treatment for relieving non-traumatic neck pain. METHODS: a comparative, open and randomized study was conducted in 100 patients of both sexes older than 18 years. They were randomly selected in Marianao municipality. Two groups of 50 patients each were formed; group A had acupuncture treatment and group B therapy had analgesics and nonsteroidal antiinflammatory drugs. The result comparative evaluation was performed by Mc Gill modified test, on the fifth day and at the end of treatment. For data processing and analyzing, chi square test was used. RESULTS: there was no significant difference for pain relief in any of the treatments applied, although patients treated with acupuncture reported improvement neck pain, and a shorter treatment time. CONCLUSIONS: both treatments are equally effective for neck pain relief, but acupuncture therapy is an option to consider due to fast pain relief.