Evaluation of editors' abilities to predict the citation potential of research manuscripts submitted to The BMJ: a cohort study.

OBJECTIVE: To evaluate the ability of The BMJ editors to predict the number of times submitted research manuscripts will be cited. DESIGN: Cohort study. SETTING: Manuscripts submitted to The BMJ, reviewed, and subsequently scheduled for discussion at a prepublication meeting between 27 August 2015 and 29 December 2016. PARTICIPANTS: 10 BMJ research team editors. MAIN OUTCOME MEASURES: Reviewed manuscripts were rated independently by attending editors for citation potential in the year of first publication plus the next year: no citations, below average (<10 citations), average (10-17 citations), or high (>17 citations). Predicted citations were subsequently compared with actual citations extracted from Web of Science (WOS). RESULTS: Of 534 manuscripts reviewed, 505 were published as full length articles (219 in The BMJ) by end of 2019 and indexed in WOS, 22 were unpublished, and one abstract was withdrawn. Among the 505 manuscripts, the median (IQR [range]) number of citations in the year of publication plus the following year was 9 (4-17 [0-150]); 277 (55%) manuscripts were cited <10 times, 105 (21%) were cited 10-17 times, and 123 (24%) cited >17 times. Manuscripts accepted by The BMJ were cited more highly (median 12 (IQR 7-24) citations) than those rejected (median 7 (3-12) citations). For all 10 editors, predicted ratings tended to increase in line with actual citations, but with considerable variation within categories; nine failed to identify the correct citation category for >50% (range 31%-52%) of manuscripts, and κ ranged between 0.01 to 0.19 for agreement between predicted and actual categories. Editors more often rated papers that achieved high actual citation counts as having low citation potential than the reverse. Collectively, the mean percentage of editors predicting the correct citation category was 43%, and for 160 (32%) manuscripts at least 50% of editors predicted the right category. CONCLUSIONS: Editors weren't good at estimating the citation potential of manuscripts individually or as a group; there is no wisdom of the crowd when it comes to BMJ editors.

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research.

Big data is central to new developments in global clinical science aiming to improve the lives of patients. Technological advances have led to the routine use of structured electronic healthcare records with the potential to address key gaps in clinical evidence. The covid-19 pandemic has demonstrated the potential of big data and related analytics, but also important pitfalls. Verification, validation, and data privacy, as well as the social mandate to undertake research are key challenges. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including patient representatives, clinicians, scientists, regulators, journal editors and industry. We propose the CODE-EHR Minimum Standards Framework as a means to improve the design of studies, enhance transparency and develop a roadmap towards more robust and effective utilisation of healthcare data for research purposes.

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research.

Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluation is important to assess an AI system's actual clinical performance at small scale, ensure its safety, evaluate the human factors surrounding its use and pave the way to further large-scale trials. However, the reporting of these early studies remains inadequate. The present statement provides a multi-stakeholder, consensus-based reporting guideline for the Developmental and Exploratory Clinical Investigations of DEcision support systems driven by Artificial Intelligence (DECIDE-AI). We conducted a two-round, modified Delphi process to collect and analyze expert opinion on the reporting of early clinical evaluation of AI systems. Experts were recruited from 20 pre-defined stakeholder categories. The final composition and wording of the guideline was determined at a virtual consensus meeting. The checklist and the Explanation & Elaboration (E&E) sections were refined based on feedback from a qualitative evaluation process. In total, 123 experts participated in the first round of Delphi, 138 in the second round, 16 in the consensus meeting and 16 in the qualitative evaluation. The DECIDE-AI reporting guideline comprises 17 AI-specific reporting items (made of 28 subitems) and ten generic reporting items, with an E&E paragraph provided for each. Through consultation and consensus with a range of stakeholders, we developed a guideline comprising key items that should be reported in early-stage clinical studies of AI-based decision support systems in healthcare. By providing an actionable checklist of minimal reporting items, the DECIDE-AI guideline will facilitate the appraisal of these studies and replicability of their findings.

The cross-sectional area of the vagus nerve is not reduced in Parkinson's disease patients.

Background: Recent studies have revealed the importance of the gut brain axis in the development of Parkinson's disease (PD). It has also been suggested that the cross-sectional area (CSA) of the vagus nerve can be used in the diagnosis of PD. Here, we hypothesize that the CSA of the vagus nerve is decreased in PD patients compared to control participants. Methods: In this study we measured the CSA of the vagus nerve on both sides in 31 patients with PD and 51 healthy controls at the level of the common carotid artery using high-resolution ultrasound. Results: The mean CSA of the left vagus nerve in the PD and the control group was respectively 2.10 and 1.90 and of the right respectively 2.54 and 2.24 mm2. There is no difference in CSA of the vagus nerve in PD patients compared to controls (p = .079). The mean CSA of the right vagus nerve was significantly larger than the left (p < .001). Age, sex and autonomic symptoms were no significant predictors of the CSA of the vagus nerve. Conclusion: These findings show that the CSA of the vagus nerve using ultrasonography is not a reliable diagnostic tool in the diagnosis of PD.

Efficacy and Long-term Effect of Radiofrequency Denervation in Patients with Clinically Diagnosed Cervical Facet Joint Pain: A Double-blind Randomized Controlled Trial.

STUDY DESIGN: Multicenter double-blind randomized sham-controlled trial. OBJECTIVE: To assess the efficacy of radiofrequency (RF) denervation of the cervical facet joints in chronic cervical facet joint pain. SUMMARY OF BACKGROUND DATA: One randomized controlled trial showed efficacy of RF denervation in whiplash-associated disease. There are no randomized controlled trials on RF denervation in patients with chronic cervical facet joint pain. METHODS: Patients were randomized to receive RF denervation combined with bupivacaine (intervention group) or bupivacaine alone (control group). In the intervention group, an RF thermal lesion was made at the cervical medial branches after the injection of bupivacaine. The primary outcome was measured at 6 months and consisted of pain intensity, self-reported treatment effect, improvement on the Neck Disability Index, and the use of pain medication. Duration of effect was determined using telephone interviews. RESULTS: We included 76 patients. In the intervention group, 55.6% showed > 30% pain decrease versus 51.3% in the control group (P = 0.711); 50.0% reported success on the Patients' Global Impression of Change in the intervention group versus 41.0% (P = 0.435); the Neck Disability Index was 15.0 ±â€Š8.7 in the intervention group compared with 16.5 ±â€Š7.2 (P = 0.432), the need for pain medication did not differ significantly between groups (P = 0.461). The median time to end of treatment success for patients in the RF group was 42 months, compared with 12 months in the bupivacaine group (P = 0.014). CONCLUSIONS: We did not observe significant differences between RF denervation combined with injection of local anesthesia compared with local anesthesia only at 6 months follow-up. We found a difference in the long-term effect after 6 months follow-up in favor of the RF treatment.Level of Evidence: 2.

An fMRI study into emotional processing in Parkinson's disease: Does increased medial prefrontal activation compensate for striatal dysfunction?

BACKGROUND: Apart from a progressive decline of motor functions, Parkinson's disease (PD) is also characterized by non-motor symptoms, including disturbed processing of emotions. This study aims at assessing emotional processing and its neurobiological correlates in PD with the focus on how medicated Parkinson patients may achieve normal emotional responsiveness despite basal ganglia dysfunction. METHODS: Nineteen medicated patients with mild to moderate PD (without dementia or depression) and 19 matched healthy controls passively viewed positive, negative, and neutral pictures in an event-related blood oxygen level-dependent functional magnetic resonance imaging study (BOLD-fMRI). Individual subjective ratings of valence and arousal levels for these pictures were obtained right after the scanning. RESULTS: Parkinson patients showed similar valence and arousal ratings as controls, denoting intact emotional processing at the behavioral level. Yet, Parkinson patients showed decreased bilateral putaminal activation and increased activation in the right dorsomedial prefrontal cortex (PFC), compared to controls, both most pronounced for highly arousing emotional stimuli. CONCLUSIONS: Our findings revealed for the first time a possible compensatory neural mechanism in Parkinson patients during emotional processing. The increased medial PFC activity may have modulated emotional responsiveness in patients via top-down cognitive control, therewith restoring emotional processing at the behavioral level, despite striatal dysfunction. These results may impact upon current treatment strategies of affective disorders in PD as patients may benefit from this intact or even compensatory influence of prefrontal areas when therapeutic strategies are applied that rely on cognitive control to modulate disturbed processing of emotions.

An unusual case of posterior reversible encephalopathy syndrome in a patient being weaned from intrathecal morphine.

Posterior reversible encephalopathy syndrome (PRES) is a clinicoradiological entity based on clinical signs, including headache, visual abnormalities, and seizures, and radiological abnormalities mostly consisting of vasogenic brain edema predominantly in the posterior parietal-temporal-occipital regions. PRES typically develops in the setting of a significant " systemic process", including preeclampsia, transplantation, infection/sepsis/shock, autoimmune disease, and cancer chemotherapy, in which hypertension often plays an important role. We present a case of PRES in a 63-year-old female patient with an infected intrathecal morphine pump on a cocktail of antibiotics, morphine, clonidine, diazepam, and amitriptyline. It is the first PRES case in a chronic pain patient, which illustrates that PRES can occur in the absence of any of the established risk factors. We hypothesize it may have been caused by antibiotic treatment in our patient.

Transcranial sonography findings related to depression in parkinsonian disorders: cross-sectional study in 126 patients.

Background. Transcranial sonography (TCS) has emerged as a potential diagnostic tool for Parkinson's disease. Recent research has suggested that abnormal echogenicity of substantia nigra, raphe nuclei and third ventricle is associated with increased risk of depression among these patients. We sought to reproduce these findings in an ongoing larger study of patients with parkinsonian syndromes. Methods. A total of 126 patients with parkinsonian symptoms underwent the Hamilton Depression Scale, and TCS of the substantia nigra (SN) (n = 126), the raphe nuclei (RN) (n = 80) and the third ventricle (n = 57). We then calculated the correlation between depression and hyper-echogenic SN, hypo-echogenic RN and a wider third ventricle. Results. In patients with PD we found no significant difference of the SN between non-depressed and depressed patients (46% vs. 22%; p = 0.18). Non-depressed patients with other parkinsonisms more often had hyperechogenicity of the SN than depressed patients (51% vs. 0%; p = 0.01). We found no relation between depression and the echogenicity of the RN or the width of the third ventricle. Conclusions. In patients with parkinsonian syndromes, we found no association between depression and hyper-echogenic SN, hypo-echogenic RN or a wider third ventricle, as determined by transcranial sonography.

Abnormal Echogenicity of the Substantia Nigra, Raphe Nuclei, and Third-Ventricle Width as Markers of Cognitive Impairment in Parkinsonian Disorders: A Cross-Sectional Study.

Background. Patients with Parkinson's disease (PD) have a high risk of cognitive problems. Objective. This study assesses whether abnormal echogenicity of the substantia nigra (SN) and raphe nuclei (RN) and the diameter of third ventricle are markers of cognitive impairment in patients with PD and other forms of parkinsonism. Methods. 126 outpatients with early signs of parkinsonism underwent transcranial sonography (TCS). The scales for the outcome of Parkinson's disease cognition (SCOPA-COG) were used as cognitive measure. Definite neurological diagnosis was established after two-year follow-up. Results. One-third of the patients with PD and half of those with APS had signs of cognitive impairment. The echogenicity of the SN was not related to cognitive impairment. The diameter of the third ventricle was significantly larger in PD patients with cognitive impairment compared to those without. In patients with APS we found a significantly higher frequency of hypoechogenic RN in patients with cognitive problems. Conclusions. Cognitive impairment is already present in a substantial proportion of patients with PD and APS at first referral. In patients with APS the frequency of hypoechogenic RN points to the direction of other pathophysiology with more emphasis on deficits in the serotonergic neurotransmitter system. The larger diameter of the third ventricle in PD patients with cognitive impairment may reflect Alzheimer like brain atrophy, as has been reported in earlier studies.

Diffuse large B-cell lymphoma of the cauda equina.

Primary central nervous system (CNS) lymphoma is a rare form of non-Hodgkin's lymphoma. The clinical presentation is variable, depending on its localisation within the nervous system. Only 1% of primary CNS lymphoma emerges in the spinal cord, and the prevalence of primary lymphoma of the cauda equina is unknown, but probably even rarer. Diagnosing primary lymphoma of the cauda equina is difficult, since it can mimic other more common disorders such as a herniated disc, especially in its early stages. Here we present two cases of primary cauda equina lymphoma in which diagnostic work up took a long time, as the final diagnosis was only reached after a nerve root biopsy.

Risk of fracture in patients with Charcot-Marie-Tooth disease.

INTRODUCTION: In this study we evaluated fracture risk in patients with Charcot-Marie-Tooth (CMT) disease. METHODS: We conducted a retrospective cohort study using the UK Clinical Practice Research Datalink (1987-2012). Each patient with CMT disease was matched with up to 6 patients without a history of CMT disease. The outcome measure was fractures. RESULTS: The risk of non-osteoporotic fracture was statistically significantly increased [adjusted hazard ratio (AHR) 1.47, 95% confidence interval (CI) 1.01-2.14], whereas risk of any and osteoporotic fracture did not reach statistical significance compared with control patients [AHR 1.31 (95% CI 0.98-1.74) and AHR 1.10 (95% CI 0.69-1.74), respectively]. CONCLUSIONS: CMT patients have a 1.5-fold increased risk for non-osteoporotic fracture. Studies with larger numbers of CMT patients and with additional data on CMT subtype, bone mineral density, and functional status should be performed to confirm a true association between CMT and an increased risk of fracture.

Five-year fracture risk estimation in patients with Parkinson's disease.

BACKGROUND: Previous studies have shown that patients with Parkinson's disease (PD) are at increased risk of fractures. However, no specific prediction model for fracture estimation among PD patients is currently available. Therefore, the aim of this study was to develop a simple score for estimating the 5-year osteoporotic and hip fracture risks among patients with PD. METHODS: The U.K. Clinical Practice Research Datalink (1987-2011) was used to identify incident PD patients. Cox proportional-hazards models were used to calculate the 5-year risks of osteoporotic and hip fracture among PD patients. The regression model was fitted with various risk factors for fracture and the final Cox model was converted into integer risk scores. RESULTS: We identified 4411 incident PD patients without a history of osteoporotic treatment. The 5-year risks of osteoporotic and hip fracture were plotted in relation to the risk score. Risk scores increased with age, female gender, history of renal disease and history of dementia. The C-statistic, which is a parameter to test the internal validity of the model, was reasonable for the prediction of osteoporotic fracture (0.69) and hip fracture (0.73). CONCLUSION: In this study, we developed a simple model to estimate 5-year fracture risk among incident PD patients. It may be useful in daily practice after external validation.