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Effectiveness of Robot-Assisted Upper Extremity Function Training (Gloreha) on Upper Extremities Function After Stroke: Systematic Review

Effectiveness of Robot-Assisted Upper Extremity Function Training (Gloreha) on Upper Extremities Function After Stroke: Systematic Review

One reported a significant difference between Gloreha training and conventional rehabilitation (P=.002) [28], while 1 trial reported a large effect size of Gloreha training (Cohen d=3.65) [29]. Lee et al [27] investigated the effect of Gloreha training on the upper extremity motor function through the Fugl-Mayer Assessment for upper extremity.

Chirathip Thawisuk, Sopida Apichai, Waranya Chingchit, Jananya P Dhippayom, Teerapon Dhippayom

JMIR Rehabil Assist Technol 2025;12:e68268

Gender Differences in X (Formerly Twitter) Use, Influence, and Engagement Among Cardiologists From the Top U.S. News Best Hospitals

Gender Differences in X (Formerly Twitter) Use, Influence, and Engagement Among Cardiologists From the Top U.S. News Best Hospitals

Compared to nonusers, X users had a higher proportion of women (240/753, 31.87% vs 269/1269, 21.20%), higher academic faculty appointments, and a greater number of advanced degrees (all P Characteristics and demographics of top hospital cardiologists on X, stratified by gender. a Not on X versus on X.

Minji Seok, Sungjin Kim, Harper Tzou, Olivia Peony, Mitchell Kamrava, Andriana P Nikolova, Katelyn M Atkins

JMIR Cardio 2025;9:e66308

High-Throughput Phenotyping of the Symptoms of Alzheimer Disease and Related Dementias Using Large Language Models: Cross-Sectional Study

High-Throughput Phenotyping of the Symptoms of Alzheimer Disease and Related Dementias Using Large Language Models: Cross-Sectional Study

The MRI analysis of memory symptoms revealed that a smaller hippocampal volume was associated with an increased likelihood of memory impairment (odds ratio [OR] 0.62, 95% CI 0.46-0.84; P=.006) (Figure 4 C). Power analysis for the logistic regression, using 1000 simulations, yielded an 89.7% chance of detecting a significant impact of hippocampal volume on memory symptoms, thereby confirming the reliability of these findings.

You Cheng, Mrunal Malekar, Yingnan He, Apoorva Bommareddy, Colin Magdamo, Arjun Singh, Brandon Westover, Shibani S Mukerji, John Dickson, Sudeshna Das

JMIR AI 2025;4:e66926

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

The results in this table do not account for missing values or days with no survey forms received or no ninth item filled in the mood survey. a Spearman correlation between Patient Health Questionnaire-9 total and SI score at ecological momentary assessment prompts was 0.47 (n=3176, P=10 and suicidal ideation score ≥1 was 0.32 (n=245, P b Disregarding the episodic pattern. c To understand the difference between “days between successive SI instances” and “episode duration” (refer to the episode data in Table 3),

Ameya P Bondre, Aashish Ranjan, Ritu Shrivastava, Deepak Tugnawat, Nirmal Kumar Chaturvedi, Anant Bhan, Snehil Gupta, Abhijit R Rozatkar, Srilakshmi Nagendra, Siddharth Dutt, Soumya Choudhary, Preethi V Reddy, Urvakhsh Meherwan Mehta, John A Naslund, John Torous

JMIR Form Res 2025;9:e67745

The Effectiveness of Social Media Campaigns in Improving Knowledge and Attitudes Toward Mental Health and Help-Seeking in High-Income Countries: Scoping Review

The Effectiveness of Social Media Campaigns in Improving Knowledge and Attitudes Toward Mental Health and Help-Seeking in High-Income Countries: Scoping Review

We only reported differences that were statistically tested and for which P values, CIs, or effect sizes were available. Descriptions and examples of social media–related outcomes to be extracted from studies. a Exposure, reach, and low-, medium-, and high-level engagement were measured using a version of key performance indicators and metrics related to social media use in health promotion adapted from Neiger et al [26].

Ruth Plackett, Jessica-Mae Steward, Angelos P Kassianos, Marvin Duenger, Patricia Schartau, Jessica Sheringham, Silvie Cooper, Lucy Biddle, Judi Kidger, Kate Walters

J Med Internet Res 2025;27:e68124