Check health professions papers: citations, claims and retractions

Efficacy of a transdiagnostic emotion-focused exposure treatment for chronic pain patients with comorbid anxiety and depression: a randomized controlled trial

Boersma, K., Södermark, M., Hesser, H., Flink, I. K., Gerdle, B., & Linton, S. J. (2019) · Pain

Musculoskeletal pain and rehabilitationAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 123

Cross-reactivity of three recombinant insulin analogs with five commercial insulin immunoassays

Owen, W. E., & Roberts, W. L. (2004) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 123

A comparison of goodness of fit tests for age‐related reference ranges

Pan, H., & Cole, T. J. (2004) · Statistics in Medicine

Clinical Laboratory Practices and Quality ControlStatistical Methods in Epidemiology

Cited by 123

The burden of the digital environment: a systematic review on organization-directed workplace interventions to mitigate physician burnout

Thomas Craig, K. J., Willis, V. C., Gruen, D., Rhee, K., & Jackson, G. P. (2021) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealthcare professionals’ stress and burnout

Cited by 123

A review and proposal for a core set of factors for prospective cohorts in low back pain: A consensus statement

Pincus, T., Santos, R., Breen, A., Burton, A. K., & Underwood, M. (2008) · Arthritis Care & Research

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 123

Effectiveness of osteopathic interventions in chronic non-specific low back pain: A systematic review and meta-analysis

Dal Farra, F., Risio, R. G., Vismara, L., & Bergna, A. (2021) · Complementary Therapies in Medicine

Musculoskeletal pain and rehabilitationMyofascial pain diagnosis and treatment

Cited by 123

Examining the evidence about psychological treatments for chronic pain: Time for a paradigm shift?

Morley, S., Williams, A., & Eccleston, C. (2013) · Pain

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 123

Who Uses Physician-Rating Websites? Differences in Sociodemographic Variables, Psychographic Variables, and Health Status of Users and Nonusers of Physician-Rating Websites

Terlutter, R., Bidmon, S., & Röttl, J. (2014) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityHealth, Technology, Consumer Behavior

Cited by 123

Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making

Brnabic, A., & Hess, L. M. (2021) · BMC Medical Informatics and Decision Making

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 123

Falls in people with multiple sclerosis compared with falls in healthy controls

Mazumder, R., Murchison, C., Bourdette, D., & Cameron, M. (2014) · PLoS ONE

Balance, Gait, and Falls PreventionMultiple Sclerosis Research Studies

Cited by 123

Reference intervals of nine steroid hormones over the life-span analyzed by LC-MS/MS: Effect of age, gender, puberty, and oral contraceptives

Bae, Y. J., Zeidler, R., Baber, R., Vogel, M., Wirkner, K., Loeffler, M., Ceglarek, U., Kiess, W., Körner, A., Thiery, J., et al. (2019) · The Journal of Steroid Biochemistry and Molecular Biology

Clinical Laboratory Practices and Quality ControlAdrenal Hormones and Disorders

Cited by 123

A taxonomic description of computer-based clinical decision support systems

Berlin, A., Sorani, M., & Sim, I. (2006) · Journal of Biomedical Informatics

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 123

Staying at work with chronic nonspecific musculoskeletal pain: a qualitative study of workers' experiences

de Vries, H. J., Brouwer, S., Groothoff, J. W., Geertzen, J. H., & Reneman, M. F. (2011) · BMC Musculoskeletal Disorders

Musculoskeletal pain and rehabilitationWorkplace Health and Well-being

Cited by 123

Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update

Sepah, S. C., Jiang, L., Ellis, R. J., McDermott, K., & Peters, A. L. (2017) · BMJ Open Diabetes Research & Care

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 122

Perceptions, experiences and meanings of recovery in forensic psychiatric patients

Mezey, G. C., Kavuma, M., Turton, P., Demetriou, A., & Wright, C. (2010) · The Journal of Forensic Psychiatry & Psychology

Mental Health and Patient InvolvementPsychiatric care and mental health services

Cited by 122

Designing a Mobile Phone-Based Intervention to Promote Adherence to Antiretroviral Therapy in South India

Shet, A., Arumugam, K., Rodrigues, R., Rajagopalan, N., Shubha, K., Raj, T., D’souza, G., & De Costa, A. (2010) · AIDS and Behavior

Mobile Health and mHealth ApplicationsHIV/AIDS Research and Interventions

Cited by 122

Social environment moderates the association between catastrophizing and pain among persons with a spinal cord injury

Giardino, N. D., Jensen, M. P., Turner, J. A., Ehde, D. M., & Cardenas, D. D. (2003) · Pain

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 122

Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review

Early, J., Gonzalez, C., Gordon-Dseagu, V., & Robles-Calderon, L. (2019) · Health Promotion Practice

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 122

Differential effects of avoidant and attentional coping strategies on adaptation to chronic and recent-onset pain

Holmes, J. A., & Stevenson, C. A. (1990) · Health Psychology

Musculoskeletal pain and rehabilitationPediatric Pain Management Techniques

Cited by 122

Evaluation of HbA1c determination methods in patients with hemoglobinopathies.

Schnedl, W. J., Krause, R., Halwachs-Baumann, G., Trinker, M., Lipp, R. W., & Krejs, G. J. (2000) · Diabetes Care

Clinical Laboratory Practices and Quality ControlHemoglobinopathies and Related Disorders

Cited by 122

Electronic medical records – the good, the bad and the ugly.

Honavar, S. G. (2020) · Indian Journal of Ophthalmology

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 122

Doctors and Patients’ Susceptibility to Framing Bias: A Randomized Trial

Perneger, T. V., & Agoritsas, T. (2011) · Journal of General Internal Medicine

Patient-Provider Communication in HealthcareDecision-Making and Behavioral Economics

Cited by 122

Expectations of Patients and Physicians Regarding Patient-Accessible Medical Records

Ross, S. E., Todd, J., Moore, L. A., Beaty, B. L., Wittevrongel, L., & Lin, C.-T. (2005) · Journal of Medical Internet Research

Electronic Health Records SystemsHealth Literacy and Information Accessibility

Cited by 122

Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review

Cai, Y., Cai, Y.-Q., Tang, L.-Y., Wang, Y.-H., Gong, M., Jing, T.-C., Li, H.-J., Li-Ling, J., Hu, W., Yin, Z., et al. (2024) · BMC Medicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 122