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JAMA Network Open Mar 2021An increasing number of machine learning (ML)-based clinical decision support systems (CDSSs) are described in the medical literature, but this research focuses almost... (Comparative Study)
Comparative Study
IMPORTANCE
An increasing number of machine learning (ML)-based clinical decision support systems (CDSSs) are described in the medical literature, but this research focuses almost entirely on comparing CDSS directly with clinicians (human vs computer). Little is known about the outcomes of these systems when used as adjuncts to human decision-making (human vs human with computer).
OBJECTIVES
To conduct a systematic review to investigate the association between the interactive use of ML-based diagnostic CDSSs and clinician performance and to examine the extent of the CDSSs' human factors evaluation.
EVIDENCE REVIEW
A search of MEDLINE, Embase, PsycINFO, and grey literature was conducted for the period between January 1, 2010, and May 31, 2019. Peer-reviewed studies published in English comparing human clinician performance with and without interactive use of an ML-based diagnostic CDSSs were included. All metrics used to assess human performance were considered as outcomes. The risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and Risk of Bias in Non-Randomised Studies-Intervention (ROBINS-I). Narrative summaries were produced for the main outcomes. Given the heterogeneity of medical conditions, outcomes of interest, and evaluation metrics, no meta-analysis was performed.
FINDINGS
A total of 8112 studies were initially retrieved and 5154 abstracts were screened; of these, 37 studies met the inclusion criteria. The median number of participating clinicians was 4 (interquartile range, 3-8). Of the 107 results that reported statistical significance, 54 (50%) were increased by the use of CDSSs, 4 (4%) were decreased, and 49 (46%) showed no change or an unclear change. In the subgroup of studies carried out in representative clinical settings, no association between the use of ML-based diagnostic CDSSs and improved clinician performance could be observed. Interobserver agreement was the commonly reported outcome whose change was the most strongly associated with CDSS use. Four studies (11%) reported on user feedback, and, in all but 1 case, clinicians decided to override at least some of the algorithms' recommendations. Twenty-eight studies (76%) were rated as having a high risk of bias in at least 1 of the 4 QUADAS-2 core domains, and 6 studies (16%) were considered to be at serious or critical risk of bias using ROBINS-I.
CONCLUSIONS AND RELEVANCE
This systematic review found only sparse evidence that the use of ML-based CDSSs is associated with improved clinician diagnostic performance. Most studies had a low number of participants, were at high or unclear risk of bias, and showed little or no consideration for human factors. Caution should be exercised when estimating the current potential of ML to improve human diagnostic performance, and more comprehensive evaluation should be conducted before deploying ML-based CDSSs in clinical settings. The results highlight the importance of considering supported human decisions as end points rather than merely the stand-alone CDSSs outputs.
Topics: Clinical Competence; Decision Support Systems, Clinical; Humans; Machine Learning
PubMed: 33704476
DOI: 10.1001/jamanetworkopen.2021.1276 -
International Journal of Geriatric... Apr 2024Stroke survivors are at high risk of coping with cognitive problems after stroke. In recent decades, the relationship between socioeconomic status (SES) and... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Stroke survivors are at high risk of coping with cognitive problems after stroke. In recent decades, the relationship between socioeconomic status (SES) and health-related outcomes has been a topic of considerable interest. Learning more about the potential impact of SES on poststroke cognitive dysfunction is of great importance.
OBJECTIVE
The purpose of this systematic review and meta-analysis was to summarize the association between SES and poststroke cognitive function by quantifying the effect sizes of the existing studies.
METHOD
We searched studies from PubMed, Ovid, Embase, Cochrane, Scopus, and PsychINFO up to January 30 2024 and the references of relevant reviews. Studies reporting the risk of poststroke cognitive dysfunction as assessed by categorized SES indicators were included. The Newcastle-Ottawa scale and the Agency for Healthcare Research and Quality were used to evaluate the study quality. Meta-analyses using fixed-effect models or random-effect models based on study heterogeneity were performed to estimate the influence of SES on cognitive function after stroke, followed by subgroup analyses stratified by study characteristics.
RESULTS
Thirty-four studies were eligible for this systematic review and meta-analysis. Of which, 19 studies reported poststroke cognitive impairment (PSCI) as the outcome, 13 reported poststroke dementia (PSD), one reported both PSCI and PSD, and one reported vascular cognitive impairment no dementia. The findings showed that individuals with lower SES levels had a higher risk of combined poststroke cognitive dysfunction (odds ratio (OR) = 1.91, 95% confidence interval (CI) = 1.59-2.29), PSCI (OR = 2.09, 95% CI = 1.57-2.78), and PSD (OR = 1.95, 95% CI = 1.48-2.57). Subgroup analyses stratified by SES indicators demonstrated the protective effects of education and occupation against the diagnoses of combined poststroke cognitive dysfunction, PSCI, and PSD.
CONCLUSIONS
Stroke survivors belonging to a low SES are at high risk of poststroke cognitive dysfunction. Our findings add evidence for public health strategies to reduce the risk of poststroke cognitive dysfunction by reducing SES inequalities.
Topics: Humans; Cognition; Cognitive Dysfunction; Stroke; Learning; Social Class
PubMed: 38563601
DOI: 10.1002/gps.6082 -
Journal of Aging Research 2019The purpose of this review is to investigate the relationship between life-space mobility and cognition in older adults. (Review)
Review
PURPOSE
The purpose of this review is to investigate the relationship between life-space mobility and cognition in older adults.
METHODS
MEDLINE, Embase, CINAHL, and PsycINFO were searched through December 2018 for studies containing measures of life-space mobility and cognitive function. Two independent reviewers screened studies. Eligible studies were combined using a random-effects model, and heterogeneity was assessed using the .
RESULTS
Thirty-five articles were identified for review. A moderate and statistically significant association (pooled = 0.30, 95% confidence interval 0.19 to 0.40.) was observed between life-space mobility and cognition among nine studies. Life-space mobility demonstrated small-to-moderate associations with domain-specific cognitive functioning, particularly executive function, learning, memory, and processing speed. Furthermore, individuals who had restricted life-space mobility (Life-Space Assessment ≤ 40) experienced a steeper decline in cognition ( = 0.56 and = 0.0471) compared to those who did not (Life-Space Assessment ≥ 41).
CONCLUSION
This review examined the association between life-space mobility and cognitive function in older adults. The results suggest that a moderate relationship between life-space mobility and cognition exists, whether adjusted or unadjusted for covariates such as sociodemographics, mental health, functional capacity, and comorbidities.
PubMed: 31275650
DOI: 10.1155/2019/3923574 -
Clinical Psychology Review Feb 2019Numerous studies have demonstrated an association between learning disabilities and internalising problems such as anxiety and depression. However, our understanding of... (Meta-Analysis)
Meta-Analysis
Numerous studies have demonstrated an association between learning disabilities and internalising problems such as anxiety and depression. However, our understanding of this association for people with specific types of learning disability - such as poor reading - is poorly understood. Here, we present the first systematic review and meta-analysis of studies that have examined associations between poor reading and internalising problems - including anxiety and depression - in children, adolescents, and adults. Our systematic search identified 34 studies comprising 16,275 participants (N = 2491 poor readers). Our meta-analysis revealed statistically significant differences between poor readers and typical readers on general measures of internalising problems (d = 0.41), as well as specific measures of anxiety (d = 0.41) and depression (d = 0.23). These outcomes suggest that poor readers are at moderate risk for experiencing internalising problems compared to typical readers, which appears to stem from a greater risk for anxiety than depression.
Topics: Adolescent; Adult; Anxiety Disorders; Child; Comorbidity; Depressive Disorder; Dyslexia; Humans; Psychological Distress; Reading; Young Adult
PubMed: 30528985
DOI: 10.1016/j.cpr.2018.09.002 -
PloS One 2021Working memory is an essential cognitive skill for storing and processing limited amounts of information over short time periods. Researchers disagree about the extent... (Meta-Analysis)
Meta-Analysis
BACKGROUND AND OBJECTIVE
Working memory is an essential cognitive skill for storing and processing limited amounts of information over short time periods. Researchers disagree about the extent to which socioeconomic position affects children's working memory, yet no study has systematically synthesised the literature regarding this topic. The current review therefore aimed to investigate the relationship between socioeconomic position and working memory in children, regarding both the magnitude and the variability of the association.
METHODS
The review protocol was registered on PROSPERO and the PRISMA checklist was followed. Embase, Psycinfo and MEDLINE were comprehensively searched via Ovid from database inception until 3rd June 2021. Studies were screened by two reviewers at all stages. Studies were eligible if they included typically developing children aged 0-18 years old, with a quantitative association reported between any indicator of socioeconomic position and children's working memory task performance. Studies were synthesised using two data-synthesis methods: random effects meta-analyses and a Harvest plot.
KEY FINDINGS
The systematic review included 64 eligible studies with 37,737 individual children (aged 2 months to 18 years). Meta-analyses of 36 of these studies indicated that socioeconomic disadvantage was associated with significantly lower scores working memory measures; a finding that held across different working memory tasks, including those that predominantly tap into storage (d = 0.45; 95% CI 0.27 to 0.62) as well as those that require processing of information (d = 0.52; 0.31 to 0.72). A Harvest plot of 28 studies ineligible for meta-analyses further confirmed these findings. Finally, meta-regression analyses revealed that the association between socioeconomic position and working memory was not moderated by task modality, risk of bias, socioeconomic indicator, mean age in years, or the type of effect size.
CONCLUSION
This is the first systematic review to investigate the association between socioeconomic position and working memory in children. Socioeconomic disadvantage was associated with lower working memory ability in children, and that this association was similar across different working memory tasks. Given the strong association between working memory, learning, and academic attainment, there is a clear need to share these findings with practitioners working with children, and investigate ways to support children with difficulties in working memory.
Topics: Child; Cognition; Humans; Memory Disorders; Memory, Long-Term; Memory, Short-Term; Socioeconomic Factors
PubMed: 34855871
DOI: 10.1371/journal.pone.0260788 -
BMC Geriatrics Jan 2022Non-alcoholic fatty liver disease (NAFLD) is represented as the most common liver disease worldwide. NAFLD is associated with metabolic risk factors underpinned by...
BACKGROUND
Non-alcoholic fatty liver disease (NAFLD) is represented as the most common liver disease worldwide. NAFLD is associated with metabolic risk factors underpinned by insulin resistance, inflammation and endothelial dysfunction, leading to extrahepatic changes in central nervous diseases such as cognitive impairment, Alzheimer's disease and dementia. The aim of the review is to explore the association between NAFLD and cognitive function.
METHODS
Using the PRISMA guidelines, a systematic electronic literature search was conducted in four databases: MEDLINE, PsychINFO, Embase and CINAHL from inception until March 2021. Neuropsychological tests utilised within each study were grouped into relevant cognitive domains including 'general cognition', 'reasoning', 'mental speed, attention and psychomotor speed', 'memory and learning', 'language', 'visuospatial perception' and 'ideas, abstraction, figural creations and mental flexibility'.
RESULTS
Eleven observational studies that involved 7978 participants with a mean age of 51 years were included. Those with NAFLD had poor cognitive performance in three cognitive domains, including 'general cognition', 'mental speed, attention and psychomotor speed', and 'ideas, abstraction, figural creations and mental flexibility'.
CONCLUSION
The observed results from the 11 included studies showed that NAFLD was associated with lower cognitive performance across several domains. However, studies conducted to date are limited to observational designs and are heterogeneous with varying diagnostic tools used to assess cognitive function.
TRIAL REGISTRATION
PROSPERO Registration: CRD42020161640 .
Topics: Cognition; Cognition Disorders; Cognitive Dysfunction; Humans; Neuropsychological Tests; Non-alcoholic Fatty Liver Disease
PubMed: 35016619
DOI: 10.1186/s12877-021-02721-w -
Progress in Cardiovascular Diseases 2023Poor psychological health is associated with Takotsubo cardiomyopathy, cardiac syndrome X, coronary microcirculatory dysfunction, peripheral artery disease, or... (Meta-Analysis)
Meta-Analysis Review
Poor psychological health is associated with Takotsubo cardiomyopathy, cardiac syndrome X, coronary microcirculatory dysfunction, peripheral artery disease, or spontaneous coronary artery dissection. Data regarding pessimism, cardiovascular disease (CVD) events and mortality and all-cause mortality remained inconclusive. This systematic review and meta-analysis aim to provide an overview of the association between pessimism, CVD outcomes and mortality. A systematic search of electronic databases was conducted from inception through July 2022 for studies evaluating pessimism and adverse outcomes. A total of 17 studies published between 1966 and July 2022 met our inclusion criteria, for a total of 232,533 individuals. Pooled hazard ratios were calculated in random-effects meta-analyses. Based on pooled analysis of adjusted HRs, pessimism was associated with adjusted HR of 1.13 (95% CI 1.07-1.19) for all-cause mortality with minimal heterogeneity (I = 28.5%). Based on pooled analysis of adjusted HRs, pessimism was associated with adjusted HR of 1.30 (95% CI 0.43-3.95) for CHD mortality, adjusted HR of 1.41 (95% CI 1.05-1.91) for CVD mortality, and adjusted HR of 1.43 (95% CI 0.64-3.16) for stroke. In conclusion, pessimism seems to be significantly associated with a higher risk for and poorer outcomes from CVD events than optimistic styles. There are genetic and other bases for these life approaches, but behavioral, cognitive and meditative interventions can modify patients' level of pessimism, hopefully leading to better medical outcomes. Testing this theory would yield highly useful and practical data for clinical care.
Topics: Humans; Pessimism; Microcirculation; Cardiovascular Diseases
PubMed: 36462555
DOI: 10.1016/j.pcad.2022.11.018 -
Journal of Clinical Lipidology 2021The US Food and Drug Administration issued a black box warning in 2012 regarding the association of statin use with cognitive impairment. This may deter patients and... (Review)
Review
The US Food and Drug Administration issued a black box warning in 2012 regarding the association of statin use with cognitive impairment. This may deter patients and practitioners from using statins for guideline-directed indications. Large studies have not shown an increase in cognitive impairment with statin use. MEDLINE, EMBASE, and Cochrane databases were searched up to October 2019. We present an up-to-date systematic review of randomized controlled trials (RCTs) and prospective observational studies examining the association between statin use and cognitive status in a population aged ≥60 years. Twenty-four studies with 1,404,459 participants were included in the review. Twenty-one were prospective observational studies, and 3 were RCTs. All 3 RCTs, which ranged from 3.2 to 5.6 years of follow-up, showed no significant association between statin use and adverse cognitive effects (odds ratio [OR] 1.03 [0.82-1.30]) and (OR 1.0 [0.61-1.65]). The mean difference in the Mini-Mental State Examination was insignificant (0.06 [-0.04 to 0.16]) in the third RCT. The follow-up for observational studies ranged from 3 to 15 years. Ten observational studies showed reduced incidence of dementia. Seven showed no association with incident dementia. Three studies showed decline in cognition was similar, whereas one showed slower decline with statin use. There was no evidence of adverse cognitive effects, including incidence of dementia, deterioration in global cognition, or specific cognitive domains associated with statin use in individuals aged ≥60 years. Future studies should examine this association in studies with longer follow-up periods.
Topics: Cognition; Humans; Hydroxymethylglutaryl-CoA Reductase Inhibitors; Randomized Controlled Trials as Topic
PubMed: 33189626
DOI: 10.1016/j.jacl.2020.10.007 -
Journal of Clinical Medicine Apr 2024: Several studies have shown a relation between obesity and cognitive decline, highlighting a significant global health challenge. In recent years, artificial... (Review)
Review
: Several studies have shown a relation between obesity and cognitive decline, highlighting a significant global health challenge. In recent years, artificial intelligence (AI) and machine learning (ML) have been integrated into clinical practice for analyzing datasets to identify new risk factors, build predictive models, and develop personalized interventions, thereby providing useful information to healthcare professionals. This systematic review aims to evaluate the potential of AI and ML techniques in addressing the relationship between obesity, its associated health consequences, and cognitive decline. : Systematic searches were performed in PubMed, Cochrane, Web of Science, Scopus, Embase, and PsycInfo databases, which yielded eight studies. After reading the full text of the selected studies and applying predefined inclusion criteria, eight studies were included based on pertinence and relevance to the topic. : The findings underscore the utility of AI and ML in assessing risk and predicting cognitive decline in obese patients. Furthermore, these new technology models identified key risk factors and predictive biomarkers, paving the way for tailored prevention strategies and treatment plans. : The early detection, prevention, and personalized interventions facilitated by these technologies can significantly reduce costs and time. Future research should assess ethical considerations, data privacy, and equitable access for all.
PubMed: 38673581
DOI: 10.3390/jcm13082307 -
JAMA Dermatology Feb 2023Primary cutaneous squamous cell carcinoma is usually curable; however, a subset of patients develops poor outcomes, including local recurrence, nodal metastasis, distant... (Meta-Analysis)
Meta-Analysis
Association of Patient Risk Factors, Tumor Characteristics, and Treatment Modality With Poor Outcomes in Primary Cutaneous Squamous Cell Carcinoma: A Systematic Review and Meta-analysis.
IMPORTANCE
Primary cutaneous squamous cell carcinoma is usually curable; however, a subset of patients develops poor outcomes, including local recurrence, nodal metastasis, distant metastasis, and disease-specific death.
OBJECTIVES
To evaluate all evidence-based reports of patient risk factors and tumor characteristics associated with poor outcomes in primary cutaneous squamous cell carcinoma and to identify treatment modalities that minimize poor outcomes.
DATA SOURCES
PubMed, Embase, and SCOPUS databases were searched for studies of the topic in humans, published in the English language, from database inception through February 8, 2022.
STUDY SELECTION
Two authors independently screened the identified articles and included those that were original research with a sample size of 10 patients or more and that assessed risk factors and/or treatment modalities associated with poor outcomes among patients with primary cutaneous squamous cell carcinoma.
DATA EXTRACTION AND SYNTHESIS
Data extraction was performed by a single author, per international guidelines. The search terms, study objectives, and protocol methods were defined before study initiation. A total of 310 studies were included for full-text assessment. Owing to heterogeneity of the included studies, a random-effects model was used. Data analyses were performed from May 25 to September 15, 2022.
MAIN OUTCOMES AND MEASURES
For studies of risk factors, risk ratios and incidence proportions; and for treatment studies, incidence proportions.
RESULTS
In all, 129 studies and a total of 137 449 patients with primary cutaneous squamous cell carcinoma and 126 553 tumors were included in the meta-analysis. Several patient risk factors and tumor characteristics were associated with local recurrence, nodal metastasis, distant metastasis, disease-specific death, and all-cause death were identified. Among all factors reported by more than 1 study, the highest risks for local recurrence and disease-specific death were associated with tumor invasion beyond subcutaneous fat (risk ratio, 9.1 [95% CI, 2.8-29.2] and 10.4 [95% CI, 3.0- 36.3], respectively), and the highest risk of any metastasis was associated with perineural invasion (risk ratio, 5.0; 95% CI, 2.3-11.1). Patients who received Mohs micrographic surgery had the lowest incidence of nearly all poor outcomes; however, in some results, the 95% CIs overlapped with those of other treatment modalities.
CONCLUSIONS AND RELEVANCE
This meta-analysis identified the prognostic value of several risk factors and the effectiveness of the available treatment modalities. These findings carry important implications for the prognostication, workup, treatment, and follow-up of patients with primary cutaneous squamous cell carcinoma.
TRIAL REGISTRATION
PROSPERO Identifier: CRD42022311250.
Topics: Humans; Carcinoma, Squamous Cell; Skin Neoplasms; Prognosis; Mohs Surgery; Risk Factors
PubMed: 36576732
DOI: 10.1001/jamadermatol.2022.5508