Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders
The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions...
Gespeichert in:
Veröffentlicht in: | Journal of psychiatry & neuroscience 2021-01, Vol.46 (1), p.E97-E110 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | E110 |
---|---|
container_issue | 1 |
container_start_page | E97 |
container_title | Journal of psychiatry & neuroscience |
container_volume | 46 |
creator | Lenze, Eric J Nicol, Ginger E Barbour, Dennis L Kannampallil, Thomas Wong, Alex W K Piccirillo, Jay Drysdale, Andrew T Sylvester, Chad M Haddad, Rita Miller, J Philip Low, Carissa A Lenze, Shannon N Freedland, Kenneth E Rodebaugh, Thomas L |
description | The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions. |
doi_str_mv | 10.1503/jpn.200042 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7955843</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2461856510</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-3019d28fd0cd0eb9af4226d29f0bfd7bf56711050ade2ea8e1a66bbb11f5fedf3</originalsourceid><addsrcrecordid>eNpdkU1LHTEUhoNU_N74A8pAN6UwepJMMjMuCkVqWxDqQtchk5xcczs3uSYzlv57o1cvbVdJOE8e3sNLyCmFMyqAny_X4YwBQMN2yAFtuq5mDW_elTvtoC5vtk8Oc14WhAEVe2SfcwYSeH9AFjcJjc8-hsqMPnijx2pKXo_5otKVS3qFv2P6VbmYqgVOkw-LaorVevtrhdYbH_CFCDinOOC9fvRxTkVlfY7JYsrHZNcVKZ68nkfk7urr7eX3-vrntx-XX65r04Ccag60t6xzFowFHHrtGsakZb2Dwdl2cEK2lIIAbZGh7pBqKYdhoNQJh9bxI_J5413PQ4lmMEwlh1onv9Lpj4raq38nwd-rRXxUbS9E1_Ai-PgqSPFhxjyplc8Gx1EHjHNWrJG0E1JQKOiH_9Bl2TqU9QrVdpL20LeF-rShTIo5J3TbMBTUc3-q9Kc2_RX4_d_xt-hbYfwJpSSZeg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2478619097</pqid></control><display><type>article</type><title>Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Lenze, Eric J ; Nicol, Ginger E ; Barbour, Dennis L ; Kannampallil, Thomas ; Wong, Alex W K ; Piccirillo, Jay ; Drysdale, Andrew T ; Sylvester, Chad M ; Haddad, Rita ; Miller, J Philip ; Low, Carissa A ; Lenze, Shannon N ; Freedland, Kenneth E ; Rodebaugh, Thomas L</creator><creatorcontrib>Lenze, Eric J ; Nicol, Ginger E ; Barbour, Dennis L ; Kannampallil, Thomas ; Wong, Alex W K ; Piccirillo, Jay ; Drysdale, Andrew T ; Sylvester, Chad M ; Haddad, Rita ; Miller, J Philip ; Low, Carissa A ; Lenze, Shannon N ; Freedland, Kenneth E ; Rodebaugh, Thomas L</creatorcontrib><description>The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions.</description><identifier>ISSN: 1180-4882</identifier><identifier>EISSN: 1488-2434</identifier><identifier>DOI: 10.1503/jpn.200042</identifier><identifier>PMID: 33206039</identifier><language>eng</language><publisher>Canada: CMA Impact, Inc</publisher><subject>Anxiety ; Biomarkers ; Clinical trials ; EEG ; Intervention ; Learning algorithms ; Magnetic fields ; Mathematical models ; Mental disorders ; Neuroimaging ; Patients ; Phenotyping ; Precision medicine ; Review Paper ; Statistical analysis ; Transcranial magnetic stimulation</subject><ispartof>Journal of psychiatry & neuroscience, 2021-01, Vol.46 (1), p.E97-E110</ispartof><rights>2021 Joule Inc. or its licensors</rights><rights>2021. This work is published under https://jpn.ca/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Joule Inc. or its licensors 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-3019d28fd0cd0eb9af4226d29f0bfd7bf56711050ade2ea8e1a66bbb11f5fedf3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955843/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955843/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,27911,27912,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33206039$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lenze, Eric J</creatorcontrib><creatorcontrib>Nicol, Ginger E</creatorcontrib><creatorcontrib>Barbour, Dennis L</creatorcontrib><creatorcontrib>Kannampallil, Thomas</creatorcontrib><creatorcontrib>Wong, Alex W K</creatorcontrib><creatorcontrib>Piccirillo, Jay</creatorcontrib><creatorcontrib>Drysdale, Andrew T</creatorcontrib><creatorcontrib>Sylvester, Chad M</creatorcontrib><creatorcontrib>Haddad, Rita</creatorcontrib><creatorcontrib>Miller, J Philip</creatorcontrib><creatorcontrib>Low, Carissa A</creatorcontrib><creatorcontrib>Lenze, Shannon N</creatorcontrib><creatorcontrib>Freedland, Kenneth E</creatorcontrib><creatorcontrib>Rodebaugh, Thomas L</creatorcontrib><title>Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders</title><title>Journal of psychiatry & neuroscience</title><addtitle>J Psychiatry Neurosci</addtitle><description>The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions.</description><subject>Anxiety</subject><subject>Biomarkers</subject><subject>Clinical trials</subject><subject>EEG</subject><subject>Intervention</subject><subject>Learning algorithms</subject><subject>Magnetic fields</subject><subject>Mathematical models</subject><subject>Mental disorders</subject><subject>Neuroimaging</subject><subject>Patients</subject><subject>Phenotyping</subject><subject>Precision medicine</subject><subject>Review Paper</subject><subject>Statistical analysis</subject><subject>Transcranial magnetic stimulation</subject><issn>1180-4882</issn><issn>1488-2434</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkU1LHTEUhoNU_N74A8pAN6UwepJMMjMuCkVqWxDqQtchk5xcczs3uSYzlv57o1cvbVdJOE8e3sNLyCmFMyqAny_X4YwBQMN2yAFtuq5mDW_elTvtoC5vtk8Oc14WhAEVe2SfcwYSeH9AFjcJjc8-hsqMPnijx2pKXo_5otKVS3qFv2P6VbmYqgVOkw-LaorVevtrhdYbH_CFCDinOOC9fvRxTkVlfY7JYsrHZNcVKZ68nkfk7urr7eX3-vrntx-XX65r04Ccag60t6xzFowFHHrtGsakZb2Dwdl2cEK2lIIAbZGh7pBqKYdhoNQJh9bxI_J5413PQ4lmMEwlh1onv9Lpj4raq38nwd-rRXxUbS9E1_Ai-PgqSPFhxjyplc8Gx1EHjHNWrJG0E1JQKOiH_9Bl2TqU9QrVdpL20LeF-rShTIo5J3TbMBTUc3-q9Kc2_RX4_d_xt-hbYfwJpSSZeg</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Lenze, Eric J</creator><creator>Nicol, Ginger E</creator><creator>Barbour, Dennis L</creator><creator>Kannampallil, Thomas</creator><creator>Wong, Alex W K</creator><creator>Piccirillo, Jay</creator><creator>Drysdale, Andrew T</creator><creator>Sylvester, Chad M</creator><creator>Haddad, Rita</creator><creator>Miller, J Philip</creator><creator>Low, Carissa A</creator><creator>Lenze, Shannon N</creator><creator>Freedland, Kenneth E</creator><creator>Rodebaugh, Thomas L</creator><general>CMA Impact, Inc</general><general>Joule Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M3G</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210101</creationdate><title>Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders</title><author>Lenze, Eric J ; Nicol, Ginger E ; Barbour, Dennis L ; Kannampallil, Thomas ; Wong, Alex W K ; Piccirillo, Jay ; Drysdale, Andrew T ; Sylvester, Chad M ; Haddad, Rita ; Miller, J Philip ; Low, Carissa A ; Lenze, Shannon N ; Freedland, Kenneth E ; Rodebaugh, Thomas L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-3019d28fd0cd0eb9af4226d29f0bfd7bf56711050ade2ea8e1a66bbb11f5fedf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Anxiety</topic><topic>Biomarkers</topic><topic>Clinical trials</topic><topic>EEG</topic><topic>Intervention</topic><topic>Learning algorithms</topic><topic>Magnetic fields</topic><topic>Mathematical models</topic><topic>Mental disorders</topic><topic>Neuroimaging</topic><topic>Patients</topic><topic>Phenotyping</topic><topic>Precision medicine</topic><topic>Review Paper</topic><topic>Statistical analysis</topic><topic>Transcranial magnetic stimulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lenze, Eric J</creatorcontrib><creatorcontrib>Nicol, Ginger E</creatorcontrib><creatorcontrib>Barbour, Dennis L</creatorcontrib><creatorcontrib>Kannampallil, Thomas</creatorcontrib><creatorcontrib>Wong, Alex W K</creatorcontrib><creatorcontrib>Piccirillo, Jay</creatorcontrib><creatorcontrib>Drysdale, Andrew T</creatorcontrib><creatorcontrib>Sylvester, Chad M</creatorcontrib><creatorcontrib>Haddad, Rita</creatorcontrib><creatorcontrib>Miller, J Philip</creatorcontrib><creatorcontrib>Low, Carissa A</creatorcontrib><creatorcontrib>Lenze, Shannon N</creatorcontrib><creatorcontrib>Freedland, Kenneth E</creatorcontrib><creatorcontrib>Rodebaugh, Thomas L</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Canadian Business & Current Affairs Database</collection><collection>Canadian Business & Current Affairs Database (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>CBCA Reference & Current Events</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of psychiatry & neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lenze, Eric J</au><au>Nicol, Ginger E</au><au>Barbour, Dennis L</au><au>Kannampallil, Thomas</au><au>Wong, Alex W K</au><au>Piccirillo, Jay</au><au>Drysdale, Andrew T</au><au>Sylvester, Chad M</au><au>Haddad, Rita</au><au>Miller, J Philip</au><au>Low, Carissa A</au><au>Lenze, Shannon N</au><au>Freedland, Kenneth E</au><au>Rodebaugh, Thomas L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders</atitle><jtitle>Journal of psychiatry & neuroscience</jtitle><addtitle>J Psychiatry Neurosci</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>46</volume><issue>1</issue><spage>E97</spage><epage>E110</epage><pages>E97-E110</pages><issn>1180-4882</issn><eissn>1488-2434</eissn><abstract>The goal of precision medicine (individually tailored treatments) is not being achieved for neurobehavioural conditions such as psychiatric disorders. Traditional randomized clinical trial methods are insufficient for advancing precision medicine because of the dynamic complexity of these conditions. We present a pragmatic solution: the precision clinical trial framework, encompassing methods for individually tailored treatments. This framework includes the following: (1) treatment-targeted enrichment, which involves measuring patients' response after a brief bout of an intervention, and then randomizing patients to a full course of treatment, using the acute response to predict long-term outcomes; (2) adaptive treatments, which involve adjusting treatment parameters during the trial to individually optimize the treatment; and (3) precise measurement, which involves measuring predictor and outcome variables with high accuracy and reliability using techniques such as ecological momentary assessment. This review summarizes precision clinical trials and provides a research agenda, including new biomarkers such as precision neuroimaging, transcranial magnetic stimulation-electroencephalogram digital phenotyping and advances in statistical and machine-learning models. Validation of these approaches - and then widespread incorporation of the precision clinical trial framework - could help achieve the vision of precision medicine for neurobehavioural conditions.</abstract><cop>Canada</cop><pub>CMA Impact, Inc</pub><pmid>33206039</pmid><doi>10.1503/jpn.200042</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1180-4882 |
ispartof | Journal of psychiatry & neuroscience, 2021-01, Vol.46 (1), p.E97-E110 |
issn | 1180-4882 1488-2434 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7955843 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Anxiety Biomarkers Clinical trials EEG Intervention Learning algorithms Magnetic fields Mathematical models Mental disorders Neuroimaging Patients Phenotyping Precision medicine Review Paper Statistical analysis Transcranial magnetic stimulation |
title | Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T04%3A59%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Precision%20clinical%20trials:%20a%20framework%20for%20getting%20to%20precision%20medicine%20for%20neurobehavioural%20disorders&rft.jtitle=Journal%20of%20psychiatry%20&%20neuroscience&rft.au=Lenze,%20Eric%20J&rft.date=2021-01-01&rft.volume=46&rft.issue=1&rft.spage=E97&rft.epage=E110&rft.pages=E97-E110&rft.issn=1180-4882&rft.eissn=1488-2434&rft_id=info:doi/10.1503/jpn.200042&rft_dat=%3Cproquest_pubme%3E2461856510%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2478619097&rft_id=info:pmid/33206039&rfr_iscdi=true |