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Prevalence and Risk Factors of Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Type 2 Diabetes Mellitus at a Tertiary Center in Saudi Arabia: Cross-Sectional Questionnaire Study

Prevalence and Risk Factors of Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Type 2 Diabetes Mellitus at a Tertiary Center in Saudi Arabia: Cross-Sectional Questionnaire Study

The overall prevalence of MASLD in our study population was 54.5% (n=159). Table 1 provides an overview of the sociodemographic and clinical characteristics of the participants in the study, which included 292 individuals. The total response rate was 85%. Of 292 participants, there were 138 (47.3%) males and 154 (52.7%) females.

Abdulrahman M Elnasieh, Mohammed Almesned, Akram N Al Hazmi, Atheer Alturki, Faisal I Alhawaidi, Razan K Alhadlq, Maryam Alramadhan, Nasser Alobilan, Yasser Sheikh Qroosh

JMIR Diabetes 2025;10:e77772

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Correcting for the Inflated Adult Population Denominator in an English Nationwide Health Care Cohort: Database Analysis Study

Correcting for the Inflated Adult Population Denominator in an English Nationwide Health Care Cohort: Database Analysis Study

For each individual, k, within the NHS England population, the initial study weight, w, was calculated as: where N is the number of individuals in the ONS census population in age group i with sex j and region r, and n is the corresponding figure for the NHS Digital population.

Sudhir Venkatesan, Mark Joy, Gavin Jamie, Debasish Kar, Robert Williams, Xuejuan Fan, Wilhelmine Meeraus, Ruby S M Tsang, Kathryn S Taylor, Sylvia Taylor, F D Richard Hobbs, Sneha N Anand, Chris Robertson, Simon de Lusignan

JMIR Public Health Surveill 2025;11:e64788

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Human-Machine Agreement in Medical Ethics: Patient Autonomy Case-Based Evaluation of Large Language Models

Human-Machine Agreement in Medical Ethics: Patient Autonomy Case-Based Evaluation of Large Language Models

An agreement with κ During the improvement phase, prompt engineering techniques such as chain-of-thought, N-shot prompting, directional stimulus, versioning, rephrase-and-respond, and long context prompting were used to improve LLM responses [13,15-18]. The goal of this iterative process was to improve LLMs to produce responses that were better aligned to the physician consensus, reducing any statistically significant differences.

Vamshi Mugu, Brendan Carr, Ashish Khandelwal, Mike Olson, John Schupbach, John Zietlow, T N Diem Vu, Alex Chan, Christopher Collura, John Schmitz

JMIR Med Inform 2025;13:e77061

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Investigating Social Media Use by Young People to Self-Manage Type 1 Diabetes Mellitus: Large-Scale Analysis of Social Media Discussions Using Topic Modeling

Investigating Social Media Use by Young People to Self-Manage Type 1 Diabetes Mellitus: Large-Scale Analysis of Social Media Discussions Using Topic Modeling

After de-duplication, we obtained 365,136 tweets and 25,601 posts from the forum-based platforms (n=10,123, 39.5%, from subreddits and n=15,478, 60.5%, from Diabetes.co.uk). Among these, we identified 1765 (0.5%) tweets and 1259 (4.9%) forum posts (n=693, 55%, from subreddits and n=566, 45%, from Diabetes.co.uk) specifically posted by young people. The average number of words on Twitter and the forum-based platforms (before/after preprocessing) were 34/29 and 161/58, respectively.

Yanan Ma, Lamiece Hassan, Sabine N van der Veer, Goran Nenadic

J Med Internet Res 2025;27:e78632

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Estimating Antigen Test Sensitivity via Target Distribution Balancing: Development and Validation Study

Estimating Antigen Test Sensitivity via Target Distribution Balancing: Development and Validation Study

Let us consider that the experimental data for a given AT supplier involves N cases with q RT-PCR cycle counts, x={x1,x2,…xn,…,x N}. The expected value of the sensitivity is the average of the PPAf, px, over the cases: Likewise, the expected sensitivity over a data support with any Ct probability density function (PDF), g(x), is given by the probability product integration: Equations 1 and 2 use the PPAf to calculate the expected sensitivity over a specific Ct data or distribution.

Miguel Bosch, Adriana Moreno, Raul Colmenares, Jose Arocha, Sina Hoche, Auris Garcia, Daniela Hall, Dawlyn Garcia, Lindsey Rudtner, Nol Salcedo, Irene Bosch

JMIR Bioinform Biotech 2025;6:e68476

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Developing and Testing an Online Portal for Virtual Navigation for Asian American Patients With Cancer: Pilot Feasibility Study

Developing and Testing an Online Portal for Virtual Navigation for Asian American Patients With Cancer: Pilot Feasibility Study

Sociodemographic and health care characteristics of Asian American participants in Patient Cancer OUtreach, Navigation, Technology, and Support (COUNTS; N=51). a Not mutually exclusive categories. b Other place of birth includes India, Philippines, Japan, Indonesia, Laos, Malaysia, Pakistan, and Taiwan. c Defined as speaking English “not well” or “not at all.” d Defined as needing help with reading instructions, pamphlets, or other written material from doctor or pharmacy “sometimes,” “often,” or “always.” e Redacted

Janet N Chu, Debora Oh, Laura Allen, Janice Y Tsoh, Katarina Wang, Mei-Chin Kuo, Ching Wong, Hoan Bui, Junlin Chen, Andrea Hwang, Carmen Ma, Angeline Truong, Feng-Ming Li, Tung T Nguyen, Scarlett L Gomez, Salma Shariff-Marco

JMIR Cancer 2025;11:e69097

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