Eligibility Criteria Research Articles

Portal for Various National and International Scholarship

Abstract: This abstract presents the development of a comprehensive portal for accessing various national and international scholarship opportunities. Built using Python Django framework, this portal aims to streamline the process of discovering scholarships, thereby facilitating access to education for a broader demographic. The portal aggregates scholarship listings from diverse sources, including government, educational institutions, and private organizations, offering a centralized platform for users to explore available opportunities. Through intuitive search and filtering functionalities, users can efficiently navigate through a vast array of scholarships tailored to their preferences, including academic background, field of study, and eligibility criteria. Key features of the portal include user authentication, personalized profiles, enhancing user engagement and facilitating tailored recommendations based on individual preferences and qualifications. Furthermore, the portal prioritizes user experience through responsive design, ensuring accessibility across various devices and platforms.

Literature review: Work music in reducing work stress

High productivity allows companies to produce goods and services at lower costs, so they can offer more competitive prices in the market. Productivity may experience a decline which can have a negative impact on organizational performance. Decreased productivity can be caused by prolonged work stress. This research aims to analyze the role of work music in reducing work stress. This research was carried out using the method literature review by determining inclusion and exclusion criteria using PICOS (Problem, Intervention, Comparison, Outcome, and Study design) from 7 articles that met the eligibility criteria, then data extraction was carried out by evaluating work music in reducing work stress. Based on the results of a systematic review conducted, it shows that the occupational safety and health program in the form of providing work music is able to increase worker productivity found in various types of work so that it can optimally increase the profits of the employing agency.

Sensory stimulation interventions in ICU: A comprehensive systematic review on enhancing consciousness in unconscious patients

Background: Unconsciousness is a common and critical condition among patients admitted to the Intensive Care Unit (ICU). The potential impact of sensory stimulation as a therapeutic intervention for improving consciousness in these patients has gained increasing attention. This systematic review aims to evaluate the effectiveness of sensory stimulation programs in enhancing consciousness levels among unconscious patients in the ICU. Objectives: The primary objective of this review is to assess the effectiveness of sensory stimulation programs in promoting consciousness among unconscious patients in the ICU. Secondary objectives include identifying specific types of sensory stimulation techniques employed, examining eligibility criteria for patient inclusion in relevant studies, and exploring the reported results and conclusions relating to the review questions and objectives. Inclusion and Exclusion Criteria: Studies were included if they focused on sensory stimulation interventions for unconscious patients in the ICU. There were no restrictions on publication date or language. Studies that did not assess consciousness as an outcome or lacked sufficient data were excluded. Sources of Evidence: PubMed, EMBASE, Cochrane Library, and Web of Science will be searched to identify relevant articles. The last search was conducted on 2022. Assessment of Risk of Bias: The included studies were assessed for risk of bias using standardized tools, such as the PEDRO tool for randomized controlled trials. Discrepancies in the assessment were resolved through consensus or consultation with a third reviewer. Methods for Presenting and Synthesizing Results: Study characteristics, patient demographics, intervention details, outcomes, and results were extracted and summarized. Number of Included Studies and Participants: A total of 11 studies involving 500 participants were included. The characteristics of the included studies, such as study design, sample size, sensory stimulation techniques used, and outcome measures, were summarized. Charting Methods: Two independent reviewers will extract data and assess the eligibility of studies based on predefined inclusion and exclusion criteria. Any discrepancies will be resolved through discussion or consultation with a third reviewer. A standardized data extraction form will be used to record relevant information, including study characteristics, patient demographics, intervention details, outcomes, and results. Results: Upon completion of the data extraction process, study characteristics, sensory stimulation techniques, and reported results will be summarized. If feasible, a meta-analysis will be conducted to provide a quantitative synthesis of the findings. Any limitations and potential biases identified among the included studies will be discussed.

Risk of infective endocarditis and complicated infection in Staphylococcus aureus bacteremia - a retrospective cohort study on the role of bacteriuria.

S. aureus bacteremia (SAB) is a common and severe infection with high mortality and morbidity. The clinical relevance of the finding of concurrent S. aureus bacteriuria (SABU) is debated. The goal of this study was to analyze whether a concurrent SABU is associated with complicated SAB, infective endocarditis (IE) and mortality. We conducted a retrospective cohort study, reviewing medical charts of all episodes of SAB in patients > 18 years in the region of Skåne, Sweden, between 1st of January and 31st of June 2020. Episodes where a concurrent urine culture was performed were included for analysis. An episode was considered as complicated SAB if there was either attributable mortality, recurrent infection, embolic stroke, or occurrence of a complicated focus of infection. During the study period, there were 279 episodes of SAB. 154 episodes met the eligibility criteria, of whom 37 (24%) had concurrent SABU. In 78 episodes (51%), the patients had a complicated SAB. There was a significantly lower proportion of complicated SAB for episodes with concurrent SABU (32%), compared to episodes without concurrent SABU (56%), p-value 0.014. Moreover, in the cohort there were 11 episodes (7.1%) of IE and a 30 days mortality rate of 16%, with no difference between the groups with or without SABU. There is an association between concurrent SABU and a decreased risk for complicated SAB among patients with SAB. This study found no significant association between SABU and neither IE nor mortality for patients with SAB.

Study protocol for a scoping review of Lyme disease prediction methodologies

IntroductionIn the temperate world, Lyme disease (LD) is the most common vector-borne disease affecting humans. In North America, LD surveillance and research have revealed an increasing territorial expansion of hosts,...

If it is adequate, it is not affordable: stakeholder perceptions on opportunities and constraints for pension reform in Indonesia

PurposeThe purpose of the study is to emphasise the urgent need for pension policy reform within Indonesia’s social security system.Design/methodology/approachThe methodology employed in this research includes qualitative techniques such as in-depth interviews and thematic content analysis.FindingsThe findings suggest various measures for pension reform, including revising eligibility criteria, adjusting benefit designs to cover housing and transportation costs, promoting Defined Benefit Plans, enforcing compliance, addressing insufficient contributions, advocating for transparency, and aligning social assistance programs with pension system enhancements. However, there is a trade-off between the adequacy of pension benefits and the amount of resources required.Research limitations/implicationsThis study is limited by the need for more individuals knowledgeable about pension issues in Indonesia, primarily due to their high-ranking positions, making access challenging and potentially compromising the small sample size in research.Practical implicationsThe research underscores the importance of maintaining policy consistency. It proposes a gradual increase in pension contributions as a pivotal strategy to ensure sustained financial security for retirees, particularly in the face of fiscal constraints. Also, the government should undertake comprehensive reforms, encompassing the revision of eligibility criteria, adjustment of minimum benefit designs, encouragement of employer contributions and effective management of compliance issues.Social implicationsSocial implications emphasise the importance of enhancing the financial security of retirees within Indonesia’s ageing population.Originality/valueThe originality and value of the research lie in guiding pension reform from the viewpoint of key policymakers involved in Indonesia’s pension system.

Development and validation of a risk scoring system to identify patients with lupus nephritis in electronic health record data

ObjectiveAccurate identification of lupus nephritis (LN) cases is essential for patient management, research and public health initiatives. However, LN diagnosis codes in electronic health records (EHRs) are underused, hindering efficient...

Continuous glucose monitoring and recreational scuba diving in type 1 diabetes: head-to-head comparison between Free Style Libre 3 and Dexcom G7 performance.

Background Scuba diving was previously excluded because of hypoglycemic risks for type 1 diabetic patients (T1DM). Specific eligibility criteria and a safety protocol have been defined, while continuous glucose monitoring (CGM) systems have enhanced diabetes management. This study aims to assess the feasibility and accuracy of CGM Dexcom G7 (DG7) and Free Style Libre 3 (FSL3) in a setting of repetitive scuba diving in T1DM, exploring the possibility of non-adjunctive use. Material and methods The study was conducted during an event of Diabete Sommerso® association in November 2023. Participants followed a safety protocol, with capillary glucose as reference standard (Beurer GL50Evo). Sensors accuracy was evaluated through Median and Mean Absolute Relative Difference (MeARD and MARD) and Surveillance Error Grid (SEG) Analysis. Sub-analyses were performed by glycemic range, timing, gender. Data distribution and correlation was estimated by Spearman test and Bland-Altman plots. The ability of sensors to identify hypoglycaemia was assessed by contingency tables. Participants completed a satisfation questionnaire. Results Data from 202 dives of 13 patients were collected. The overall MARD was 31% for DG7 and 14.2% for FSL3, MeARD 19.7% and 11.6% respectively. FSL3 exhibited better accuracy in normoglycemic and hyperglycemic ranges. SEG analysis showed 82.1% (DG7) and 97.4% (FSL3) data on no-risk zone. FSL3 better performed on hypoglycemia identification (diagnostic odds ratio of 254.10 vs 58.95). Neither of sensors reached the MARD for non-adjunctive use. Patient satisfaction favored FSL3 for size and minimal bulk, while DG7 received positive feedback for versatility. Conclusions The study reveals FSL3 superior accuracy compared to DG7 in a setting of repetitive scuba diving in T1DM, except for hypoglycemic range. Both sensors fails to achieve accuracy for non-adjunctive use. Capillary tests remain crucial for safe dive planning, and sensor data should be interpreted cautiously. We suggest exploring additional factors potentially influencing sensor performance.

Colorectal Sarcomatoid Carcinoma: 30-Year Experience.

Background: Primary colorectal sarcomatoid carcinoma is a rare and aggressive malignant neoplasm that displays mixed epithelial and mesenchymal differentiation, with uncertain histogenesis. First described in 1986, there is a paucity of literature related to this condition and there are no evidence-based treatment guidelines. The aim of our study is to present our 30-year experience with primary colorectal sarcomatoid carcinoma. Methods: Retrospective single-center analysis of all patients treated for primary colorectal sarcomatoid carcinoma from 1992 to 2022. The primary outcome was response to treatment strategy and overall survival. Results: A total of six cases met eligibility criteria. Three were male (50%) with a mean age at diagnosis of 59years (range, 49-72). Four neoplasms were located in the rectum (66%) and two in the colon. Mean tumor size at diagnosis was 4.8cm (range, 2.8-7.0). Three patients were treated endoscopically and three underwent oncologic surgical resection. Five experienced recurrence and one expired from other comorbidities. The mean survival among those with colonic and rectal sarcomatoid carcinoma was 7months (range, 3-11) and 39months (range, 9-60), respectively. Discussion: Primary colorectal sarcomatoid carcinoma is a rare malignant tumor with poor prognosis. Treatment modalities have not been standardized and despite multimodal therapy, disease recurrence and/or metastasis is likely to occur. Further studies are necessary to determine optimal treatment to improve outcomes.

A Comparative Study of Students Graduation Analysis Using Classification Methods in Undergraduate Electrical Engineering Tidar University

This research aimed to classify achievement factors for electrical engineering students at Tidar University using K-Means and Agglomerative Clustering classification algorithms. The goal was to understand if any parameters influence high-achieving student performance. The Indonesian government and private sector for university students provide significant education funds. Student scholarships are awarded based primarily on GPA and entry path, overburdening staff and causing confusion during distribution to eligible recipients. A system was needed to accommodate additional eligible criteria. The researcher selected factors to identify engineering student performance, including school origin, entry path, tuition fees, and GPA. These inputs could determine graduation status. The results compared calculation methods based on collected data accuracy, processing times, and characterizing clustered data to determine the best classification method. Agglomerative Hierarchical Clustering performed better. Accuracy testing on 600 training data points yielded 73.94% for improved K-means and 90.42% for AHC. The Average processing time was 674.92 seconds for improved K-means and 554.35 seconds for AHC. Silhouette testing also characterized calculation methods, with improved K-means scoring best at 0.654 and AHC at 0.787 using two clusters.

Crisis Communication: A Systematic Literature Review

In recent years, crisis communication has become increasingly crucial for Indonesian institutions and companies, involving diverse stakeholders, communication forms, and contexts before, during, and after perceived crisis events. This study aimed to map, analyze and compare published studies in both global and national contexts. By adhering to the PRISMA 2020 standards for systematic literature reviews, the study consisted of five phases: (1) research questions, (2) eligibility criteria and sources of information, (3) search selection, (4) process of study selection, and (5) data coding and synthesis from Zotero bibliographic management. The study revealed that academic publications on crisis communications were primarily focused on the Asia and European continents and utilized either qualitative or quantitative research methods. It is shown that the outcome of crisis communication management is mostly around reputation repair, control, and also risk management changes and improvements, which highlight the importance of a corporate reputation in shaping organizational resilience. Future studies should concentrate on proactive crisis communication management strategies since it is essential for mitigating the side effects of the crisis communication itself while emphasizing the role of reputation repair, control, and also risk management changes in fostering stakeholders’ trust.

Trends in Dual Antiplatelet Therapy of Aspirin and Clopidogrel and Outcomes in Ischemic Stroke Patients Noneligible for POINT/CHANCE Trial Treatment.

Recent clinical trials established the benefit of dual antiplatelet therapy with aspirin and clopidogrel (DAPT-AC) in early-presenting patients with minor ischemic stroke. However, the impact of these trials over time on the use and outcomes of DAPT-AC among the patients with nonminor or late-presenting stroke who do not meet the eligibility criteria of these trials has not been delineated. In a multicenter stroke registry, this study examined yearly changes from April 2008 to August 2022 in DAPT-AC use for stroke patients ineligible for CHANCE/POINT (Clopidogrel in High-Risk Patients with Acute Nondisabling Cerebrovascular Events/Platelet-Oriented Inhibition in New TIA and Minor Ischemic Stroke) clinical trials due to National Institutes of Health Stroke Scale >4 or late arrival beyond 24 hours of onset. A total of 32 118 patients (age, 68.1±13.1 years; male, 58.5%) with National Institutes of Health Stroke Scale of 4 (interquartile range, 1-7) were analyzed. In 2008, DAPT-AC was used in 33.0%, other antiplatelets in 62.7%, and no antiplatelet in 4.3%. The frequency of DAPT-AC was relatively unchanged through 2013, when the CHANCE trial was published, and then increased steadily, reaching 78% in 2022, while other antiplatelets decreased to 17.8% in 2022 (Ptrend<0.001). From 2011 to 2022, clinical outcomes nonsignificantly improved, with an average relative risk reduction of 2%/y for the composite of stroke, myocardial infarction, and all-cause mortality, both among patients treated with DAPT-AC and patients treated with other antiplatelets. Use of DAPT-AC in stroke patients with stroke ineligible for recent DAPT clinical trials increased markedly and steadily after CHANCE publication in 2013, reaching deployment in nearly 4 of every 5 patients by 2022. The secondary prevention in patients with ischemic stroke seems to be gradually improving, possibly due to the enhancement of risk factor control.

Efficacy and safety of topical capsaicin in the treatment of osteoarthritis pain: A systematic review and meta-analysis.

Osteoarthritis (OA) affects hundreds of millions of people worldwide. The objective was to critically appraise the efficacy and safety of topical capsaicin in reducing pain in OA. MEDLINE (PubMed) and Embase (Ebsco) were searched from inceptions until February 2023. The eligibility criteria included randomized controlled trials (RCTs), evaluating topical capsaicin in OA patients. Standard Cochrane methods were used to extract data and to appraise eligible studies. Eight double-blind RCTs involving 498 patients were included. Five trials (62.5%) were at an overall low risk of bias, and three (37.5%) were at a high risk of bias. Meta-analysis showed that, in various OA patients, compared with placebo, topical capsaicin (0.0125%-5%) may reduce pain severity measured with visual analog scale (standardized mean difference = -0.84, 95% confidence intervals [CIs] = -1.48 to -0.19, p = 0.01; eight studies). However, topical capsaicin may increase burning sensation at the application site (risk ratio = 5.56, 95% CI = 1.75-17.69, p = 0.004, numbers needed to harm = 3; five studies) when compared with placebo. Limitations include short study durations, small sample sizes, high heterogeneity, and overall low-to-very-low certainty of the evidence. Topical capsaicin may reduce OA pain at follow-ups of up to 3 months. Larger trials, potentially evaluating capsaicin in combination with phytopharmaceuticals having anti-inflammatory effects, with longer follow-ups might be needed to reduce the existing uncertainties. Topical capsaicin might be recommended for short-term management of pain in OA patients intolerant to nonsteroidal anti-inflammatory drugs.

Personalized Treatment of Multiple Myeloma in Frail Patients.

As the treatment landscape for multiple myeloma (MM) continues to expand at a rapid pace, management of older adults and frail patients becomes increasingly challenging. As these patients have traditionally been underrepresented on clinical trials, there is limited guidance on the optimal approach to frail patients with newly diagnosed multiple myeloma (NDMM) or relapsed and refractory multiple myeloma (RRMM). Frailty is an independent predictor of tolerability and response to antineoplastic treatment. Stringent eligibility criteria have often excluded these patients, but recently some large trials have included frailty sub-analyses to help guide management. In general, triplet regimens are preferred to doublet regimens in this population and enrollment on a clinical trial should be prioritized when possible. In this review, we summarize the MM frailty scoring tools that have been developed to identify and assess this vulnerable population. We present the clinical trials over the past decade that have enrolled frail patients and/or have included subgroup analyses to help elucidate the response and tolerability of different regimens in this underrepresented group. We provide practical advice regarding assessment and management of frail patients NDMM and RRMM.

Association of Lipoprotein (a) and Standard Modifiable Cardiovascular Risk Factors With Incident Myocardial Infarction: The Mass General Brigham Lp(a) Registry.

Lipoprotein (a) [Lp(a)] is a robust predictor of coronary heart disease outcomes, with targeted therapies currently under investigation. We aimed to evaluate the association of high Lp(a) with standard modifiable risk factors (SMuRFs) for incident first acute myocardial infarction (AMI). This retrospective study used the Mass General Brigham Lp(a) Registry, which included patients aged ≥18 years with an Lp(a) measurement between 2000 and 2019. Exclusion criteria were severe kidney dysfunction, malignant neoplasm, and prior known atherosclerotic cardiovascular disease. Diabetes, dyslipidemia, hypertension, and smoking were considered SMuRFs. High Lp(a) was defined as >90th percentile, and low Lp(a) was defined as <50th percentile. The primary outcome was fatal or nonfatal AMI. A combination of natural language processing algorithms, International Classification of Diseases (ICD) codes, and laboratory data was used to identify the outcome and covariates. A total of 6238 patients met the eligibility criteria. The median age was 54 (interquartile range, 43-65) years, and 45% were women. Overall, 23.7% had no SMuRFs, and 17.8% had ≥3 SMuRFs. Over a median follow-up of 8.8 (interquartile range, 4.2-12.8) years, the incidence of AMI increased gradually, with higher number of SMuRFs among patients with high (log-rank P=0.031) and low Lp(a) (log-rank P<0.001). Across all SMuRF subgroups, the incidence of AMI was significantly higher for patients with high Lp(a) versus low Lp(a). The risk of high Lp(a) was similar to having 2 SMuRFs. Following adjustment for confounders and number of SMuRFs, high Lp(a) remained significantly associated with the primary outcome (hazard ratio, 2.9 [95% CI, 2.0-4.3]; P<0.001). Among patients with no prior atherosclerotic cardiovascular disease, high Lp(a) is associated with significantly higher risk for first AMI regardless of the number of SMuRFs.

Scoping review of end-of-life care for persons with anorexia nervosa.

End-of-life (EOL) care is the part of palliative care intended for persons nearing death. In anorexia nervosa (AN), providing EOL care instead of coercing life-sustaining measures is controversial. The existing literature has not been synthesized yet. To clearly delineate differing views and identify open questions as well as areas of possible consensus, we conducted the first-ever synthesis of the existing literature. We searched EMBASE, PubMed, PsycInfo, and Web of Science for scientific publications on forgoing coerced life-sustaining measures and/or providing EOL care for persons with AN who refuse lifesustaining measures, typically artificial nutrition. Palliative care outside of the EOL context and medical assistance in dying were not reviewed. As very little quantitative studies were identified, we qualitatively analyzed conceptual questions, ethical reasoning, legal aspects, stakeholder attitudes, practical aspects, stakeholder needs, and outcome. We identified 117 eligible publications from 1984 to 2023, mainly case reports (n=26 different cases) and ethical analyses. Conceptualizations of key terms such as terminality, futility, and decision-making capacity (DMC) in AN varied widely and were often value-laden and circular. Ethical reasoning centered on weighing the preservation of life versus quality of life in the context of uncertainty about DMC and likelihood of clinical remission. Studies on stakeholder attitudes reflected this challenge. In some cases, courts ruled against coerced life-sustaining measures and/or in favor of EOL care for persons with AN. While eligibility criteria were contested, recommendations for deliberating about and providing EOL care were consistent. We identified only one study on stakeholder needs and none on outcome. Case reports described quality of life under EOL care as good and death as the most frequent outcome but engagement in voluntary treatment and (partial) clinical remission in some. The debate around EOL care in AN needs consented, coherent terminology whose value base is reduced to a minimum and made transparent. While more empirical research into decisionmaking in AN and predictors of outcome might help reduce uncertainty, fundamental normative questions need to be addressed, for example regarding the ethico-legal significance of treatment refusals, the weighing of quantity versus quality of life and the appropriateness of diagnosis-based ethico-legal exceptionalism such as hard paternalism. More research is needed on outcome of and stakeholder needs in EOL care for persons with AN.

Validation of algorithms in studies based on routinely collected health data: general principles.

Clinicians, researchers, regulators, and other decision-makers increasingly rely on evidence from real-world data (RWD), including data routinely accumulating in health and administrative databases. RWD studies often rely on algorithms to operationalize variable definitions. An algorithm is a combination of codes or concepts used to identify persons with a specific health condition or characteristic. Establishing the validity of algorithms is a prerequisite for generating valid study findings that can ultimately inform evidence-based health care. This paper aims to systematize terminology, methods, and practical considerations relevant to the conduct of validation studies of RWD-based algorithms. We discuss measures of algorithm accuracy; gold/reference standard; study size; prioritizing accuracy measures; algorithm portability; and implication for interpretation. Information bias is common in epidemiologic studies, underscoring the importance of transparency in decisions regarding choice and prioritizing measures of algorithm validity. The validity of an algorithm should be judged in the context of a data source, and one size does not fit all. Prioritizing validity measures within a given data source depends on the role of a given variable in the analysis (eligibility criterion, exposure, outcome or covariate). Validation work should be part of routine maintenance of RWD sources.

Fat intravasation, fat emboli and fat embolism syndrome in adult major trauma patients with intraosseous catheters: a systematic review

IntroductionIntraosseous (IO) administration of medication, fluids and blood products is accepted practice for critically injured patients in whom intravenous access is not immediately available. However, there are concerns that high...

Consistent efficacy and safety of sublingual immunotherapy tablets across allergens and geographic regions.

The clinical development program of the SQ grass, ragweed, tree, and house dust mite (HDM) sublingual immunotherapy (SLIT)-tablets for allergicrhinitis/conjunctivitis (AR/C) included clinical trials conducted in North America,Europe, and Japan. Data from these trials were analyzed to assess efficacy, immunologic mechanisms, and safety outcomes acrossallergens and geographic regions. Thirteen phase III, double-blind, placebo controlled trials in the subjects with AR/C were conducted in NorthAmerica, Europe (including Russia), and Japan (N = 7763 analyzed). Trials were generally similar with respect to medicalpractice, target population, eligibility criteria, and efficacy and safety monitoring. Data were analyzed for the approved dosesin North America and Europe. Four statistical models were used to enhance comparison of the efficacy end points among the trials. The SLIT-tablets demonstrated consistent efficacy across allergens and regions, regardless of the statistical analysis used. Relative improvement in the primary efficacy end point compared with placebo by using the predefined protocol analysis ranged from 17.9% to 32.8%, 17.5% to 19.3%, 20.6% to 38.3%, and 39.6% with the grass, HDM, ragweed, and tree SLIT-tablets, respectively. The kinetics of specific immunoglobulin E (IgE) and IgG4 responses were similar among the allergensand regions. Local application-site reactions were the most common adverse events for all allergens and in all regions. Mosttreatment-related adverse events for all allergens and in all regions were mild in severity. The rate of systemic allergic reactions was similar across regions (0%-0.54%). Confirmatory phase III trials for SLIT-tablets in the treatment of AR/C showed consistent efficacy, immunologic,and safety outcomes across allergens and geographic regions.

Deep learning for temporomandibular joint arthropathies: Asystematic review and meta-analysis.

The accurate diagnosis of temporomandibular disorders continues to be a challenge, despite the existence of internationally agreed-upon diagnostic criteria. The purpose of this study is to review applications of deep learning models in the diagnosis of temporomandibular joint arthropathies. An electronic search was conducted on PubMed, Scopus, Embase, Google Scholar, IEEE, arXiv, and medRxiv up to June 2023. Studies that reported the efficacy (outcome) of prediction, object detection or classification of TMJ arthropathies by deep learning models (intervention) of human joint-based or arthrogenous TMDs (population) in comparison to reference standard (comparison) were included. To evaluate the risk of bias, included studies were critically analysed using the quality assessment of diagnostic accuracy studies (QUADAS-2). Diagnostic odds ratios (DOR) were calculated. Forrest plot and funnel plot were created using STATA 17 and MetaDiSc. Full text review was performed on 46 out of the 1056 identified studies and 21 studies met the eligibility criteria and were included in the systematic review. Four studies were graded as having a low risk of bias for all domains of QUADAS-2. The accuracy of all included studies ranged from 74% to 100%. Sensitivity ranged from 54% to 100%, specificity: 85%-100%, Dice coefficient: 85%-98%, and AUC: 77%-99%. The datasets were then pooled based on the sensitivity, specificity, and dataset size of seven studies that qualified for meta-analysis. The pooled sensitivity was 95% (85%-99%), specificity: 92% (86%-96%), and AUC: 97% (96%-98%). DORs were 232 (74-729). According to Deek's funnel plot and statistical evaluation (p =.49), publication bias was not present. Deep learning models can detect TMJ arthropathies high sensitivity and specificity. Clinicians, and especially those not specialized in orofacial pain, may benefit from this methodology for assessing TMD as it facilitates a rigorous and evidence-based framework, objective measurements, and advanced analysis techniques, ultimately enhancing diagnostic accuracy.