scholarly journals P.013 Machine Learning on Drawing Tests of Cognition: A Systematic Review

Author(s):  
R Kamhawy ◽  
R Mcginn ◽  
H He ◽  
J Ho ◽  
M Sharma ◽  
...  

Background: Machine learning (ML) methods hold promise in allowing early detection of dementia. We performed a systematic review to assess the quality of published evidence for using ML methods applied to drawing tests of cognition, and to describe the accuracy of the methods. Methods: Embase, Medline, and Cochrane Central Library databases were searched for potential studies up to December 8, 2018 by four independent reviewers. Included articles satisfied the following criteria: 1) use of ML on 2) a drawing test in order to 3) assess cognition. The quality of evidence was then assessed using GRADE methodology. Results: The initial search yielded 4620 citations. Of these, 64 were eligible for full text review. 18 articles then met inclusion criteria. Median AUC across all models was 0.765, with certain ML algorithms performing better in terms of AUC or diagnostic accuracy. However, based on GRADE, the quality of evidence was deemed very low. Conclusions: ML has been applied by several groups to drawing tests of cognition. The quality of evidence is currently too low to make recommendations on their use. Future work must focus on improving reporting, and using standard algorithms and larger, more diverse datasets to improve comparability and generalizability.

2018 ◽  
Author(s):  
Ashley Brook McGar ◽  
Christine Kindler ◽  
Meghan Marsac

BACKGROUND Pediatric medical conditions have the potential to result in challenging psychological symptoms (eg, anxiety, depression, and posttraumatic stress symptoms [PTSS]) and impaired health-related quality of life in youth. Thus, effective and accessible interventions are needed to prevent and treat psychological sequelae associated with pediatric medical conditions. Electronic health (eHealth) interventions may help to meet this need, with the capacity to reach more children and families than in-person interventions. Many of these interventions are in their infancy, and we do not yet know what key components contribute to successful eHealth interventions. OBJECTIVE The primary objective of this study was to conduct a systematic review to summarize current evidence on the efficacy of eHealth interventions designed to prevent or treat psychological sequelae in youth with medical conditions. METHODS MEDLINE (PubMed) and PsycINFO databases were searched for studies published between January 1, 1998, and March 1, 2019, using predefined search terms. A total of 2 authors independently reviewed titles and abstracts of search results to determine which studies were eligible for full-text review. Reference lists of studies meeting eligibility criteria were reviewed. If the title of a reference suggested that it might be relevant for this review, the full manuscript was reviewed for inclusion. Inclusion criteria required that eligible studies (1) had conducted empirical research on the efficacy of a Web-based intervention for youth with a medical condition, (2) had included a randomized trial as part of the study method, (3) had assessed the outcomes of psychological sequelae (ie, PTSS, anxiety, depression, internalizing symptoms, or quality of life) in youth (aged 0-18 years), their caregivers, or both, (4) had included assessments at 2 or more time points, and (5) were available in English language. RESULTS A total of 1512 studies were reviewed for inclusion based on their title and abstracts; 39 articles qualified for full-text review. Moreover, 22 studies met inclusion criteria for the systematic review. Of the 22 included studies, 13 reported results indicating that eHealth interventions significantly improved at least one component of psychological sequelae in participants. Common characteristics among interventions that showed an effect included content on problem solving, education, communication, and behavior management. Studies most commonly reported on child and caregiver depression, followed by child PTSS and caregiver anxiety. CONCLUSIONS Previous research is mixed but suggests that eHealth interventions may be helpful in alleviating or preventing problematic psychological sequelae in youth with medical conditions and their caregivers. Additional research is needed to advance understanding of the most powerful intervention components and to determine when and how to best disseminate eHealth interventions, with the goal of extending the current reach of psychological interventions.


2018 ◽  
Vol 31 (08) ◽  
pp. 1137-1149 ◽  
Author(s):  
Gubing Wang ◽  
Armagan Albayrak ◽  
Tischa J. M. van der Cammen

ABSTRACTBackground:Non-pharmacological interventions for Behavioral and Psychological Symptoms of Dementia (BPSD) have been developed; however, a systematic review on the effectiveness of this type of intervention from a perspective of ergonomics is lacking. According to ergonomics, the capabilities of Persons with Dementia (PwD) should be considered in the interventions for the outcomes to be reliable. We aimed to systematically review the non-pharmacological interventions for BPSD in nursing home residents with an additional assessment criterion based on ergonomics, specifically, capability consideration.Methods:The electronic databases MEDLINE, EMBASE, and PsycINFO were searched for non-pharmacological interventions treating BPSD in nursing homes. The interventions were categorized according to the capabilities of PwD required to participate. Study quality was assessed by National Health and Medical Research Council (NHMRC) evidence hierarchy and the capability consideration.Results:Sixty-four clinical trials met the inclusion criteria; 41 trials reported a significant reduction in at least one BPSD symptom; 20 trials reported no significant reduction in BPSD symptoms; three trials reported adverse effects after the intervention. Interventions were categorized into sensory-, cognition-, and movement-oriented. Capabilities of PwD were not considered in 28 trials, especially for sensory capabilities.Conclusions:The majority of the clinical trials reported a significant reduction in BPSD. The quality of evidence for nonpharmacological interventions in these trials is low due to the lack of capability consideration, data inhomogeneity, and inadequate study design and reporting. Future studies should focus on improving the quality of evidence by including capability consideration and examining if a relationship between capability consideration and effectiveness of non-pharmacological interventions exists.


10.2196/12427 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. e12427
Author(s):  
Ashley Brook McGar ◽  
Christine Kindler ◽  
Meghan Marsac

Background Pediatric medical conditions have the potential to result in challenging psychological symptoms (eg, anxiety, depression, and posttraumatic stress symptoms [PTSS]) and impaired health-related quality of life in youth. Thus, effective and accessible interventions are needed to prevent and treat psychological sequelae associated with pediatric medical conditions. Electronic health (eHealth) interventions may help to meet this need, with the capacity to reach more children and families than in-person interventions. Many of these interventions are in their infancy, and we do not yet know what key components contribute to successful eHealth interventions. Objective The primary objective of this study was to conduct a systematic review to summarize current evidence on the efficacy of eHealth interventions designed to prevent or treat psychological sequelae in youth with medical conditions. Methods MEDLINE (PubMed) and PsycINFO databases were searched for studies published between January 1, 1998, and March 1, 2019, using predefined search terms. A total of 2 authors independently reviewed titles and abstracts of search results to determine which studies were eligible for full-text review. Reference lists of studies meeting eligibility criteria were reviewed. If the title of a reference suggested that it might be relevant for this review, the full manuscript was reviewed for inclusion. Inclusion criteria required that eligible studies (1) had conducted empirical research on the efficacy of a Web-based intervention for youth with a medical condition, (2) had included a randomized trial as part of the study method, (3) had assessed the outcomes of psychological sequelae (ie, PTSS, anxiety, depression, internalizing symptoms, or quality of life) in youth (aged 0-18 years), their caregivers, or both, (4) had included assessments at 2 or more time points, and (5) were available in English language. Results A total of 1512 studies were reviewed for inclusion based on their title and abstracts; 39 articles qualified for full-text review. Moreover, 22 studies met inclusion criteria for the systematic review. Of the 22 included studies, 13 reported results indicating that eHealth interventions significantly improved at least one component of psychological sequelae in participants. Common characteristics among interventions that showed an effect included content on problem solving, education, communication, and behavior management. Studies most commonly reported on child and caregiver depression, followed by child PTSS and caregiver anxiety. Conclusions Previous research is mixed but suggests that eHealth interventions may be helpful in alleviating or preventing problematic psychological sequelae in youth with medical conditions and their caregivers. Additional research is needed to advance understanding of the most powerful intervention components and to determine when and how to best disseminate eHealth interventions, with the goal of extending the current reach of psychological interventions.


2021 ◽  
Author(s):  
Joanne Hinds ◽  
Thomas Parkhouse ◽  
Victoria Hotchin

In recent years, the use of machine learning to predict personality from digital data has gained increasing interest from organisations, academics and the public. In turn, a new field of personality computing has developed, which involves combining machine learning techniques with psychological measures of personality. However, effectively integrating these approaches is challenging - the fields of machine learning and psychology are highly disparate, with different objectives, methodologies, and perspectives on performing and reporting research. In this article, we report findings from a systematic review that analysed 178 personality computing studies published before November 2020. We developed a novel set of criteria that was used to evaluate the quality of study design and reporting of each study according to 10 criteria: hypotheses, study rationale, selection of features, algorithm training, ground truth, sampling, the evaluation of algorithms’ performance (i.e., classification, regression), the performance measures reported, and detail concerning ethics and open science practices. Our findings highlight that a large proportion of studies lack detail on the above criteria, which leads to questions over the validity, reliability, and replicability of the findings. We discuss the implications of this research for practice and recommend directions for future work.


2020 ◽  
Vol 63 (5) ◽  
pp. 1618-1635
Author(s):  
Céline Richard ◽  
Mary Lauren Neel ◽  
Arnaud Jeanvoine ◽  
Sharon Mc Connell ◽  
Alison Gehred ◽  
...  

Purpose We sought to critically analyze and evaluate published evidence regarding feasibility and clinical potential for predicting neurodevelopmental outcomes of the frequency-following responses (FFRs) to speech recordings in neonates (birth to 28 days). Method A systematic search of MeSH terms in the Cumulative Index to Nursing and Allied HealthLiterature, Embase, Google Scholar, Ovid Medline (R) and E-Pub Ahead of Print, In-Process & Other Non-Indexed Citations and Daily, Web of Science, SCOPUS, COCHRANE Library, and ClinicalTrials.gov was performed. Manual review of all items identified in the search was performed by two independent reviewers. Articles were evaluated based on the level of methodological quality and evidence according to the RTI item bank. Results Seven articles met inclusion criteria. None of the included studies reported neurodevelopmental outcomes past 3 months of age. Quality of the evidence ranged from moderate to high. Protocol variations were frequent. Conclusions Based on this systematic review, the FFR to speech can capture both temporal and spectral acoustic features in neonates. It can accurately be recorded in a fast and easy manner at the infant's bedside. However, at this time, further studies are needed to identify and validate which FFR features could be incorporated as an addition to standard evaluation of infant sound processing evaluation in subcortico-cortical networks. This review identifies the need for further research focused on identifying specific features of the neonatal FFRs, those with predictive value for early childhood outcomes to help guide targeted early speech and hearing interventions.


2021 ◽  
pp. 175045892096415
Author(s):  
Tito D Tubog ◽  
Richard S Bramble

The incidence rates of spinal anaesthesia-induced hypotension vary depending on the surgical procedures. This systematic review and meta-analysis evaluates the efficacy of prophylactic ondansetron in reducing the incidence of spinal anaesthesia-induced hypotension in non-caesarean delivery. Thirteen trials consisting of 1166 patients were included for analysis. Compared to placebo, there is a low quality of evidence that ondansetron was effective in reducing the incidence of spinal anaesthesia-induced hypotension (RR 0.62, 95% CI 0.44 to 0.87; p = 0.005) and bradycardia (RR 0.54, 95% CI 0.32 to 0.90; p = 0.02). We also found a moderate quality of evidence that ondansetron lowered the number of rescue ephedrine (RR 0.61, 95% CI 0.43 to 0.87; p = 0.007). Patients treated with ondansetron have higher mean arterial pressure 15 to 20 minutes after spinal anaesthesia induction and higher systolic arterial pressure 5, 10, 15 and 20 minutes after spinal anaesthesia. The evidence suggests that prophylactic administration of ondansetron results in the reduction of the incidence of spinal anaesthesia-induced hypotension, bradycardia and rescue ephedrine in patients undergoing non-caesarean delivery under spinal anaesthesia.


Author(s):  
Yusuke Handa ◽  
Kenya Okada ◽  
Hiroshi Takasaki

This systematic review and meta-analysis investigated whether the use of a lumbar roll reduced forward head posture (FHP) while sitting among individuals with or without musculoskeletal disorders. EMBASE, MEDLINE, and the Cochrane Library were systematically searched from their inception to August 2020. The quality of evidence for variables used in the meta-analysis was determined using the GRADE system. Five studies satisfied the criteria for data analysis. All studies included individuals without any spinal symptoms. Data from five studies on neck angle showed a statistically significant (p = 0.02) overall effect (standardized mean difference (SMD) = 0.77), indicating a lesser neck flexion angle while sitting with a lumbar roll than without it. Data from two studies on head angle showed a statistically significant (p = 0.04) overall effect (SMD = 0.47), indicating a lesser head extension angle while sitting with a lumbar roll than without it. In each meta-analysis, the quality of evidence was very low in the GRADE system. The use of a lumbar roll while sitting reduced FHP among individuals without spinal symptoms.


2021 ◽  
pp. 026921552199095
Author(s):  
Danilo Harudy Kamonseki ◽  
Letícia Bojikian Calixtre ◽  
Rodrigo Py Gonçalves Barreto ◽  
Paula Rezende Camargo

Objective: To systematically review the effectiveness of electromyographic biofeedback interventions to improve pain and function of patients with shoulder pain. Design: Systematic review of controlled clinical trials. Literature search: Databases (Medline, EMBASE, CINAHL, PEDro, CENTRAL, Web of Science, and SCOPUS) were searched in December 2020. Study selection criteria: Randomized clinical trials that investigated the effects of electromyographic biofeedback for individuals with shoulder pain. Patient-reported pain and functional outcomes were collected and synthesized. Data synthesis: The level of evidence was synthesized using GRADE and Standardized Mean Differences and 95% confidence interval were calculated using a random-effects inverse variance model for meta-analysis. Results: Five studies were included with a total sample of 272 individuals with shoulder pain. Very-low quality of evidence indicated that electromyographic biofeedback was not superior to control for reducing shoulder pain (standardized mean differences = −0.21, 95% confidence interval: −0.67 to 0.24, P = 0.36). Very-low quality of evidence indicated that electromyographic biofeedback interventions were not superior to control for improving shoulder function (standardized mean differences = −0.11, 95% confidence interval: −0.41 to 0.19, P = 0.48). Conclusion: Electromyographic biofeedback may be not effective for improving shoulder pain and function. However, the limited number of included studies and very low quality of evidence does not support a definitive recommendation about the effectiveness of electromyographic biofeedback to treat individuals with shoulder pain.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Oberndorfer ◽  
I Grabovac ◽  
S Haider ◽  
T E Dorner

Abstract Background Reports of the effectiveness of e-cigarettes (ECs) for smoking cessation vary across different studies making implementation recommendations hard to attain. We performed a systematic review and meta-analysis to synthesise the current evidence regarding the effectiveness of ECs for smoking cessation. Methods PubMed, PsycInfo and Embase databases were searched for randomized controlled trials comparing nicotine ECs with non-nicotine ECs or with established smoking cessation interventions (nicotine replacement therapy (NRT) and or counselling) published between 01/01/2014 and 01/05/2019. Data from eligible studies were extracted and used for random-effects meta-analyses. Results Our literature review yielded 13190 publications with 10 studies being identified as eligible for systematic review, covering 8362 participants, and 8 for meta-analyses (n = 30 - 6006). Using the last follow-up of eligible studies, the proportion of smokers achieving abstinence was 1.67 [95CI:0.99 - 2.81] times higher in nicotine EC users compared to non-nicotine EC users. The proportion of abstinent smokers was 1.69 [95CI:1.25 - 2.27] times higher in EC users compared to participants receiving NRT. EC users showed a 2.70 [95CI:1.15 - 6.30] times higher proportion of abstinent smokers in comparison to participants solely receiving counselling. Conclusions Our analysis showed modest effects of nicotine-ECs compared to non-nicotine ECs. When compared to NRT or counselling, results suggest that nicotine EC may be more effective for smoking cessation. As ECs also help maintaining routinized behaviour and social aspects of smoking, we hypothesise that this may explain their advantage as a tool for smoking cessation. However, given the small number of included studies, different populations, heterogeneous designs, and the overall moderate to low quality of evidence, it is not possible to offer clear recommendations. More comparable data is needed to strengthen confidence in the quality of evidence. Key messages The number of previous studies assessing the effectiveness of ECs for smoking cessation is limited. Further, comparability of these studies is restricted, weakening the quality of evidence. Although current evidence on the effectiveness of ECs for smoking cessation is inconclusive, our meta-analyses suggest that ECs could be a promising alternative tool in attempts to achieve abstinence.


Author(s):  
Serena Vi ◽  
Damon Pham ◽  
Yu Yian Marina Du ◽  
Himanshu Arora ◽  
Santosh Kumar Tadakamadla

Purpose: Mini-dental implants (MDIs) have been used to support and retain overdentures, providing patients with a less invasive placement procedure. Although lucrative, the use of MDIs to retain a maxillary overdenture is still not an established treatment modality. This systematic review aims to answer the question: Do mini-implant-retained maxillary overdentures provide a satisfactory treatment outcome for complete edentulism? Methods: A systematic search for relevant articles was conducted to include articles published until April 2021 in the following electronic databases: CINAHL, Cochrane, EMBASE, PubMed, and Web of Science. All empirical studies evaluating the biological, survival, or patient-reported outcomes after placing mini-implant-retained overdentures in maxilla were considered for inclusion. The risk of bias was assessed by utilizing the Joanna Briggs Institute critical appraisal checklist. Study screening and data extraction were conducted by three reviewers independently. Results: The electronic search retrieved 1276 titles after omitting duplicates. Twenty articles were considered for full-text review, of which six studies were included in this systematic review. The included studies evaluated a total of 173 participants with a mean age of 66.3 years. The overall mini-implant survival rate was 77.1% (95% CI: 64.7–89.5%) with a mean follow-up time of 1.79 years (range: 6 months to 3 years). Implant survival differed significantly when comparing complete and partial palatal coverage overdentures. Those with complete palatal coverage exhibited less bone loss overall compared to partial coverage overdentures. Participants of all studies reported an increase in the quality of life and in satisfaction after rehabilitation treatment with MDIs. Conclusions: The survival rate of mini-implants retaining an overdenture in the maxilla was observed to be lower than the values reported for traditional implants in the literature. Improvements were observed in all aspects in terms of patient satisfaction, quality of life, oromyofunction, and articulation after the treatment.


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