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Efficacy of a Personalized Mobile Health Intervention (BedTime) to Increase Sleep Duration Among Short-Sleeping Patients With Type 2 Diabetes: Protocol for a Pilot Randomized Controlled Trial

Efficacy of a Personalized Mobile Health Intervention (BedTime) to Increase Sleep Duration Among Short-Sleeping Patients With Type 2 Diabetes: Protocol for a Pilot Randomized Controlled Trial

The University of Tokyo Hospital Mitsui Memorial Hospital Meiji Yasuda Life Insurance Company Tokyo Hospital Kobe University Hospital Akita University Hospital Tokai University Hospital Okayama Saiseikai General Hospital Sawaki Internal Medicine and Diabetes Clinic Yokota Medical Clinic Aikawa Comprehensive Internal Medicine Clinic Yokohama Rosai Hospital To detect a 0.3% difference in the primary outcome (change in Hb A1c), assuming an SD of 0.41% (the average observed in 2 prior studies [17,61]), and to achieve

Yuki Ban, Kayo Waki, Ryohei Nakada, Akihiro Isogawa, Kengo Miyoshi, Hironori Waki, Shunsuke Kato, Hideaki Sawaki, Takashi Murata, Yushi Hirota, Shuichiro Saito, Seiji Nishikage, Atsuhito Tone, Mayumi Seno, Masao Toyoda, Shinichi Kajino, Kazuki Yokota, Yuya Tsurutani, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

JMIR Res Protoc 2025;14:e64023

Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

Summary of study activities. a Hb A1c: hemoglobin A1c. b CRP: C-reactive protein. c OGTT: oral glucose tolerance test. At the first visit, a full medical history will be taken by a trained clinician including past medical history and surgical history. Outcomes of previous pregnancies will be recorded including outcome of the pregnancy, gestation, pregnancy complications, and (if relevant) birthweight and neonatal complications. Current medications including dose, and dosing schedule will be recorded.

Sarah A L Price, Digsu N Koye, Alice Lewin, Alison Nankervis, Stefan C Kane

JMIR Res Protoc 2025;14:e72542

Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study

Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study

We examined all contexts along the data pipeline, from population-level breast cancer screening to diagnostic biopsies and surgical treatments, clinical pathology, and specimen accessioning through the biobanking platform, where it may be stored for future use in –80 °C freezers or distributed fresh for next-generation biobanking applications such as patient-derived organoids, multi-omics, and high-throughput testing.

William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

JMIR Bioinform Biotech 2025;6:e70463

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

The PROMIS website also gives the mean and SD of the T-score metric (mean 50, SD 10). Power calculations for this primary hypothesis were performed using the SAS procedure PROC GLMPOWER (SAS Version 9.4) [62]. Results indicated that 282 participants after attrition would be needed for 80% power (P With regard to power for moderation analyses, we ran a sensitivity analysis to compute the smallest effect size our study would be powered to find using 280 given 4 groups (eg, 2 study arms × 2 genders).

David H Gustafson Sr, Marie-Louise Mares, Darcie C Johnston, John J Curtin, Klaren Pe-Romashko, Gina Landucci

JMIR Res Protoc 2025;14:e64449