The interrater reliability of a pain mechanisms-based classification for patients with nonspecific neck pain

Relationships between obsessive-compulsive disorder and the big five personality traits: A meta-analysis

Although several studies have examined the relationships between obsessive-compulsive disorder (OCD) and the Big Five personality traits (i.e., neuroticism, extraversion, openness, agreeableness, and conscientiousness), the results have been inconsistent. Therefore, this meta-analysis comprehensively examined the relationships between OCD and these traits. In total, 23 studies (29 independent datasets) with 30,138 participants were analyzed. The pooled effect size was 0.34 (95% confidence interval [CI]: 0.28, 0.40) for neuroticism, -0.14 (95% CI: -0.18, -0.10) for extraversion, -0.04 (95% CI: -0.09, 0.02) for openness, -0.10 (95% CI: -0.16, -0.04) for agreeableness, and -0.03 (95% CI: -0.11, 0.05) for conscientiousness, indicating that OCD was associated with higher scores for neuroticism and lower scores for extraversion and agreeableness. Meta-regression and subgroup analyses indicated that heterogeneity was mainly due to differences in sample types and OCD measurement instruments. Sensitivity analysis showed that the results of the meta-analysis were robust. Overall, neuroticism was a maladaptive trait, whereas extraversion and agreeableness were adaptive traits for OCD. Although the results could be sample- and instrument-specific, our findings may inform preventions and interventions for OCD symptoms.

Utilization of the Cervical Flexion Rotation Test to Confirm Rotation Directional Preference in People With Neck Pain: A Case Series

Despite the prevalence of neck pain, evidence is lacking regarding the relationship of pathophysiology to function in people with neck conditions. Although movement-based diagnoses based on directional preference (DP) are described for lumbar spinal conditions, how these diagnoses guide interventions is not supported in the Cervical Spine Clinical Practice Guidelines. To date, there are no case studies in the literature that demonstrate the efficacy of cervical spine management based on a rotation DP. This case series highlights patient response to repeated end-range neck movements to inform DP and how the cervical flexion rotation test (CFRT) was used as a clinical baseline to assess mechanical and symptomatic changes. Three consecutive patients were evaluated by a physical therapist fellow trained in orthopedic manual physical therapy and diplomaed in mechanical diagnosis and therapy. The patients' baseline pain ranged from 3 to 7/10 on the Numerical Pain Rating Scale (NPRS), and disability scores ranged from 20% to 52.6% on patient-reported outcome (PRO) measures. All three cases demonstrated a limited and painful CFRT. Examination procedures included repeated end-range movement testing in the sagittal and frontal and transverse planes. Across five to six visits in five to eight weeks, a decrease in the primary outcome measures from baseline to discharge were observed: NPRS, 50-85%; PRO, 60-82%. The CFRT may be a key baseline when screening patients with neck pain for DP. Following repeated end-range sagittal and frontal plane movements, the rapid change in the CFRT following targeted upper cervical rotation techniques confirmed a rotation DP.

Neck pain with radiculopathy: A systematic review of classification systems

BACKGROUND

Disparities in eligibility criteria for cervical radiculopathy (CR) in clinical trials have been acknowledged previously. The increasing use of CR related neck pain classification systems to inform eligibility criteria in clinical trials warrants evaluation.

OBJECTIVE

To evaluate existing neck pain classification systems for CR.

DESIGN

Systematic review and critical appraisal, reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

METHODS

Database searches were performed from inception until 31/7/2020. Neck pain classification systems containing CR as a component were included. Methodological quality of each classification system was assessed using seven measurement property domains and scored using a framework developed by Buchbinder and colleagues. Classification criteria for CR from classification systems assessed as moderate or good quality were narratively synthesised using inductive content analysis which consisted of selecting unit of analysis, open coding, grouping and categorisation.

RESULTS

Out of 19,975 references, 14,893 remained after elimination of duplicates with 17 articles reporting 11 classification systems included. Five moderate and one good quality classification systems were identified. Nine classification criteria for CR were derived, including dermatomal sensory deficit, positive Spurling's test, positive upper limb tension test.

CONCLUSION

All classification systems had methodological limitations with Childs et al. (2008) classification system identified as good quality and most clinically useful. Future studies should investigate the reliability of Childs et al. (2008) classification system as it has the potential to further strengthen its methodological quality and clinical utility. The nine derived classification criteria can inform eligibility criteria in future trials.

Methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system: a systematic review

ABSTRACT

Mechanism-based classification of pain has been advocated widely to aid tailoring of interventions for individuals experiencing persistent musculoskeletal pain. Three pain mechanism categories (PMCs) are defined by the International Association for the Study of Pain: nociceptive, neuropathic, and nociplastic pain. Discrimination between them remains challenging. This study aimed to build on a framework developed to converge the diverse literature of PMCs to systematically review methods purported to discriminate between them; synthesise and thematically analyse these methods to identify the convergence and divergence of opinion; and report validation, psychometric properties, and strengths/weaknesses of these methods. The search strategy identified articles discussing methods to discriminate between mechanism-based categories of pain experienced in the musculoskeletal system. Studies that assessed the validity of methods to discriminate between categories were assessed for quality. Extraction and thematic analysis were undertaken on 184 articles. Data synthesis identified 200 methods in 5 themes: clinical examination, quantitative sensory testing, imaging, diagnostic and laboratory testing, and pain-type questionnaires. Few methods have been validated for discrimination between PMCs. There was general convergence but some disagreement regarding findings that discriminate between PMCs. A combination of features and methods, rather than a single method, was generally recommended to discriminate between PMCs. Two major limitations were identified: an overlap of findings of methods between categories due to mixed presentations and many methods considered discrimination between 2 PMCs but not others. The results of this review provide a foundation to refine methods to differentiate mechanisms for musculoskeletal pain.

A validated photonumeric scale for infraorbital dark circles and its application in evaluating the efficacy of a cosmetic treatment product in a split-face randomized clinical trial

OBJECTIVE

As a result of their complex aetiology and periodicity, dark circles are difficult to characterize and measure, with current assessment techniques relying on specialist equipment, image analysis or proprietary grading scales. There is therefore a need to develop and validate a photonumeric scale for assessing infraorbital dark circles, which can provide an objective and consumer relevant tool for evaluating this condition and the efficacy of treatment products and procedures.

METHODS

A panel of expert clinical evaluators reviewed approximately three thousand facial photographs collected over a 5-year period and selected images representing a dynamic range of dark circles. A 10-point photonumeric scale was created, with corresponding descriptors and images for each grade of the scale. To rigorously validate the scale, linearity, sensitivity and precision were assessed by colorimetry and in-clinic evaluation. Reproducibility was assessed photographically with both experienced and inexperienced clinical evaluators, whereas intragrader repeatability was assessed live in-clinic. The scale was then employed in a split-face randomized clinical trial on 58 subjects to evaluate the efficacy of a cosmetic treatment product over 8 weeks.

RESULTS

Colour analysis of the images showed the scale was linear, with statistically significant correlations observed when colour data (CIElab; Individual Typology Angle) were plotted against the corresponding grades (r > 0.9, P < 0.001). Colour difference (Delta E) was calculated between the infraorbital zone and the surrounding skin, and when data were plotted against the grades, a statistically significant correlation was observed (r = 0.99, P < 0.01). The magnitude of the Delta E suggested that changes in grade are visibly perceptible to the human eye, and therefore, the scale is sensitive and clinically relevant. Intergrader reproducibility showed strong correlation (0.96) and >90% agreement between experienced evaluators, whereas intragrader repeatability assessment showed >90% perfect agreement between grades. Use of this scale in a clinical trial demonstrated the efficacy of a cosmetic product, with a mean statistically significant (P < 0.001) decrease in grade of 0.74 compared to baseline, and 0.59 versus the untreated control, after 8 weeks of treatment.

CONCLUSION

Our photonumeric scale for infraorbital dark circles is sensitive and robust and provides an objective and easy-to-use tool to evaluate dark circles and their treatment.

Diagnostic accuracy of the clinical indicators to identify central sensitization pain in patients with musculoskeletal pain

Background

The identification of central sensitization (CS) is an important aspect in the management of patients with chronic musculoskeletal pain. Several methods have been developed, including clinical indicators and psychophysical measures. However, whether clinical indicators coincide with the psychophysical test of CS-related sign and symptoms is still unknown. Therefore, the present study aimed to analyze the diagnostic accuracy of the clinical indicators in identifying CS-related sign and symptoms in patients with musculoskeletal pain.

Methods

One-hundred consecutive patients with musculoskeletal pain were included. Clinical indicators (index method) based on a combination of patient self-report pain characteristics and physical examination were used to identify the phenotype of patients with musculoskeletal pain and the predominance of the CS-related sign and symptoms. Conditioned pain modulation (CPM) was assessed by the Cold Pressor Test (reference standard), which is a psychophysical test used to detect impairment of CPM. Measurements of the diagnostic accuracy were performed.

Results

Twenty-seven patients presented predominance of CS-related sign and symptoms in the assessment of the clinical indicators, and 20 had impairment of CPM. Clinical indicators showed high accuracy (75.0%; 95% confidence interval = 65.3 to 83.1), high specificity (80.0%; 95% confidence interval = 69.6 to 88.1), high negative predictive value (87.7%; 95% confidence interval = 81.2 to 92.1), and a relevant positive likelihood ratio (2.8, 95% confidence interval = 1.5 to 5.0) when compared to the Cold Pressor Test.

Conclusion

Clinical indicators demonstrated a valuable tool for detecting the impaired CPM, which is a remarkable feature of the CS-related sign and symptoms. Clinicians are encouraged to use the clinical indicators in the management of patients with musculoskeletal pain.

The why, where, and how clinical reasoning model for the evaluation and treatment of patients with low back pain

BACKGROUND

There is considerable overlap between pain referral patterns from the lumbar disc, lumbar facets, the sacroiliac joint (SIJ), and the hip. Additionally, sciatic like symptoms may originate from the lumbar spine or secondary to extra-spinal sources such as deep gluteal syndrome (GPS). Given that there are several overlapping potential anatomic sources of symptoms that may be synchronous in patients who have low back pain (LBP), it may not be realistic that a linear deductive approach can be used to establish a diagnosis and direct treatment in this group of patients.

OBJECTIVE

The objective of this theoretical clinical reasoning model is to provide a framework to help clinicians integrate linear and non-linear clinical reasoning approaches to minimize clinical reasoning errors related to logically fallacious thinking and cognitive biases.

METHODS

This masterclass proposes a hypothesis-driven and probabilistic approach that uses clinical reasoning for managing LBP that seeks to eliminate the challenges related to using any single diagnostic paradigm.

CONCLUSIONS

This model integrates the why (mechanism of primary symptoms), where (location of the primary driver of symptoms), and how (impact of mechanical input and how it may or may not modulate the patient's primary complaint). The integration of these components individually, in serial, or simultaneously may help to develop clinical reasoning through reflection on and in action. A better understanding of what these concepts are and how they are related through the proposed model may help to improve the clinical conversation, academic application of clinical reasoning, and clinical outcomes.

Neck pain patterns and subgrouping based on weekly SMS-derived trajectories

BACKGROUND

Neck and low back pain represent dynamic conditions that change over time, often with an initial improvement after the onset of a new episode, followed by flare-ups or variations in intensity. Pain trajectories were previously defined based on longitudinal studies of temporal patterns and pain intensity of individuals with low back pain. In this study, we aimed to 1) investigate if the defined patterns and subgroups for low back pain were applicable to neck pain patients in chiropractic practice, 2) explore the robustness of the defined patterns, and 3) investigate if patients within the various patterns differ concerning characteristics and clinical findings.

METHODS

Prospective cohort study including 1208 neck pain patients from chiropractic practice. Patients responded to weekly SMS-questions about pain intensity and frequency over 43 weeks. We categorized individual responses into four main patterns based on number of days with pain and variations in pain intensity, and subdivided each into four subgroups based on pain intensity, resulting in 16 trajectory subgroups. We compared baseline characteristics and clinical findings between patterns and between Persistent fluctuating and Episodic subgroups.

RESULTS

All but two patients could be classified into one of the 16 subgroups, with 94% in the Persistent fluctuating or Episodic patterns. In the largest subgroup, "Mild Persistent fluctuating" (25%), mean (SD) pain intensity was 3.4 (0.6) and mean days with pain 130. Patients grouped as "Moderate Episodic" (24%) reported a mean pain intensity of 2.7 (0.6) and 39 days with pain. Eight of the 16 subgroups each contained less than 1% of the cohort. Patients in the Persistent fluctuating pattern scored higher than the other patterns in terms of reduced function and psychosocial factors.

CONCLUSIONS

The same subgroups seem to fit neck and low back pain patients, with pain that typically persists and varies in intensity or is episodic. Patients in a Persistent fluctuating pattern are more bothered by their pain than those in other patterns. The low back pain definitions can be used on patients with neck pain, but with the majority of patients classified into 8 subgroups, there seems to be a redundancy in the original model.