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Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal

Pradeep S Virdee, Kiana K Collins, Claire Friedemann Smith, Xin Yang, Sufen Zhu, Nia Roberts, Jason L Oke, Clare Bankhead, Rafael Perera, FD Richard Hobbs, Brian D Nicholson

JMIR Cancer 2025;11:e70275

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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data

Erin B Comartin, Grant Victor, Athena Kheibari, Brian K Ahmedani, Bethany Hedden-Clayton, Richard N Jones, Ted R Miller, Jennifer E Johnson, Lauren M Weinstock, Sheryl Kubiak

JMIR Res Protoc 2025;14:e68517

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The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

Evangeline A Huis in 't Veld, Anouk M Kruse, Emma J Verwaaijen, Sterre C Huizer, Elisabeth M van Dijk-Lokkart, Christianne Lok, Maaike Kuethe, Frederic Amant, Mathilde M A van Gerwen, Martine van Grotel, Marry M van den Heuvel-Eibrink

JMIR Res Protoc 2025;14:e71612

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Feasibility of Collecting and Linking Digital Phenotyping, Clinical, and Genetics Data for Mental Health Research: Pilot Observational Study

There were no significant associations between symptoms and dropout (all t.05) or diary adherence and engagement (all r.05) (see Tables S5 and S6 in Multimedia Appendix 1 for statistics). The Mobigene pilot study demonstrated that it was feasible to collect and link new data from an existing cohort that had already participated in extensive data collection procedures.

Joanne R Beames, Omar Dabash, Michael J Spoelma, Artur Shvetcov, Wu Yi Zheng, Aimy Slade, Jin Han, Leonard Hoon, Joost Funke Kupper, Richard Parker, Brittany Mitchell, Nicholas G Martin, Jill M Newby, Alexis E Whitton, Helen Christensen