Patient Selection

"Patient Selection" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

Criteria and standards used for the determination of the appropriateness of the inclusion of patients with specific conditions in proposed treatment plans and the criteria used for the inclusion of subjects in various clinical trials and other research protocols.

Descriptor ID	D018579
MeSH Number(s)	E05.581.500.653 N04.590.731
Concept/Terms	Patient Selection Patient Selection Patient Selections Selection, Patient Selections, Patient Research Subject Recruitment Research Subject Recruitment Recruitment, Research Subject Recruitments, Research Subject Research Subject Recruitments Subject Recruitment, Research Subject Recruitments, Research Research Subject Selection Research Subject Selection Research Subject Selections Selection, Research Subject Selections, Research Subject Subject Selection, Research Subject Selections, Research Selection for Treatment Selection for Treatment Selection for Treatments Treatment, Selection for Treatments, Selection for Selection of Subjects Selection of Subjects Subjects Selection Subjects Selections Patient Recruitment Patient Recruitment Patient Recruitments Recruitment, Patient Recruitments, Patient Selection Criteria Selection Criteria Criteria, Selection

Below are MeSH descriptors whose meaning is more general than "Patient Selection".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Methods [E05.581]
Research Design [E05.581.500]
Patient Selection [E05.581.500.653]
Health Care [N]
Health Services Administration [N04]
Patient Care Management [N04.590]
Patient Selection [N04.590.731]

Below are MeSH descriptors whose meaning is related to "Patient Selection".

Below are MeSH descriptors whose meaning is more specific than "Patient Selection".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "Patient Selection" by people in this website by year, and whether "Patient Selection" was a major or minor topic of these publications.

Bar chart showing 167 publications over 28 distinct years, with a maximum of 13 publications in 2015 and 2025

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1996	1	0	1
2000	3	1	4
2001	0	1	1
2002	1	5	6
2003	1	4	5
2004	4	4	8
2005	1	2	3
2006	0	1	1
2007	1	2	3
2008	2	2	4
2009	0	10	10
2010	3	4	7
2011	3	4	7
2012	3	3	6
2013	5	6	11
2014	4	2	6
2015	6	7	13
2016	4	1	5
2017	4	3	7
2018	2	7	9
2019	6	2	8
2020	5	6	11
2021	2	3	5
2022	2	1	3
2023	3	2	5
2024	2	1	3
2025	11	2	13
2026	2	0	2

Below are the most recent publications written about "Patient Selection" by people in Profiles.

Barsha RAA, Assari S, Byiringiro S, Hussain Z, Miller HN, Plante TB, Himmelfarb CR, Michos ED, Sheikhattari P. Understanding Motivation to Participate in Clinical Trials: Insights to Diversify Clinical Research Using Health Information National Trends Survey. Clin Transl Sci. 2026 May; 19(5):e70558.

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Kobylinski M, Krupa N, Tam H, Nguyen L, Jahansooz JR, Herndon K, Pacpaco K, Matsunaga M, Kim ST, Zhi Q, Sonson M, Siriwardhana C, Carrazana E, Liow K. Utilizing ZIP code-based choropleth maps as a visual tool to analyze Native Hawaiian and Pacific Islander (NHPI) recruitment patterns in Alzheimer's disease clinical trials in Hawai'i: A retrospective study. Sci Prog. 2026 Jan-Mar; 109(1):368504251411203.

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Wangdak Yuthok TY, Rodriguez AD, Ritter V, Cruz ER, Okeke DA, Judge F, Vesom N, Shen S, Qin F, Brown-Johnson CG, Palaniappan L, Onwuanyi A, Lewis E. Trial of SiTes to IncreAse diversity in clinical TriaLs (TOTAL): A study protocol paper. Contemp Clin Trials. 2026 Jan; 160:108141.

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Full KM, Liu D, Ibarra-Scurr DC, Wilkins CH, Burns JM, Lewandowski TM, Vidoni ED, Jefferson AL. Development of a web platform to advance data-driven recruitment for ADRD research. Alzheimers Dement. 2025 10; 21(10):e70722.

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Michos ED, Himmelfarb CR, Lewis EF, Hsiai T, Norris KC, Kaholokula JK, Raman R, Grooms J, Halpern SD, Pemu P, Rodriguez F, Valantine H. Evaluating the Science of Diversity in Clinical Trials: Design and Goals of an American Heart Association Strategic Focused Research Network. J Am Heart Assoc. 2025 Oct 07; 14(19):e041831.

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Akinyemi O, Weldeslase T, Odusanya E, Ogundare T, Heath J, Williams M, Cornwell E, Hughes K. Neighborhood Socioeconomic Deprivation Does Not Appear to Influence Selection for Lower Extremity Revascularization Versus Amputation in Maryland. Ann Vasc Surg. 2026 Feb; 123:40-48.

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Taira DA, Tengan K, Takata J, Porter C, Ranken MS, Sentell TL, Seto TB. Exploring Diabetes Clinical Trial Participation: A Diverse Group Interview Study. Ther Innov Regul Sci. 2026 Jan; 60(1):172-181.

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Miller HN, Wong E, Byiringiro S, Hussain Z, Guerrero Vazquez M, Lewis-Land C, Skelton B, Curriero S, Foster A, Moghimi F, Tomiwa O, Shaia J, Sheikhattari P, Wang NY, Dennison Himmelfarb CR. CONNECT Platform to Increase Diverse Engagement and Enrollment in Cardiovascular Clinical Research: Rationale, Design, and Lessons Learned in Early Implementation. J Am Heart Assoc. 2025 Aug 19; 14(16):e038351.

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Byiringiro S, Bellinger GC, Mezu A, Wong E, Tomiwa T, Vazquez MG, Foster A, Sheikhattari P, Himmelfarb CR, Miller HN. From Dialogue to Action: Community Recommendations for Inclusive Research Participation Among Underrepresented Populations. Health Expect. 2025 Aug; 28(4):e70348.

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Pemu P, Prude M, McCaslin A, Ojemakinde E, Awad C, Igwe K, Rodriguez A, Foriest J, Idris M. Detecting Conversation Topics in Recruitment Calls of African American Participants to the All of Us Research Program Using Machine Learning: Model Development and Validation Study. JMIR Form Res. 2025 Jul 17; 9:e65320.

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