Maximizing treatment efficacy through patient stratification in neuropathic pain trials
Treatment of neuropathic pain remains inadequate despite the elucidation of multiple pathophysiological mechanisms and the development of promising therapeutic compounds. The lack of success in translating knowledge into clinical practice has discouraged pharmaceutical companies from investing in pa...
Gespeichert in:
Veröffentlicht in: | Nature reviews. Neurology 2023-01, Vol.19 (1), p.53-64 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 64 |
---|---|
container_issue | 1 |
container_start_page | 53 |
container_title | Nature reviews. Neurology |
container_volume | 19 |
creator | Baron, Ralf Dickenson, Anthony H. Calvo, Margarita Dib-Hajj, Sulayman D. Bennett, David L. |
description | Treatment of neuropathic pain remains inadequate despite the elucidation of multiple pathophysiological mechanisms and the development of promising therapeutic compounds. The lack of success in translating knowledge into clinical practice has discouraged pharmaceutical companies from investing in pain medicine; however, new patient stratification approaches could help bridge the translation gap and develop individualized therapeutic approaches. As we highlight in this article, subgrouping of patients according to sensory profiles and other baseline characteristics could aid the prediction of treatment success. Furthermore, novel outcome measures have been developed for patients with neuropathic pain. The extent to which sensory profiles and outcome measures can be employed in routine clinical practice and clinical trials and across distinct neuropathic pain aetiologies is yet to be determined. Improvements in animal models, drawing on our knowledge of human pain, and robust public–private partnerships will be needed to pave the way to innovative and effective pain medicine in the future.
Despite substantial research advances, treatment of neuropathic pain remains inadequate and responses to treatment are highly variable. In this Perspective, the authors argue that rational stratification of patients with neuropathic pain will aid identification of subgroups of patients who will benefit most from a given treatment. |
doi_str_mv | 10.1038/s41582-022-00741-7 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2738188011</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2738188011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-97ff4c81c969d0a2abe9784c07c1a94473493010662f9972ab0b51f34017cc2e3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMotlb_gAdZ8OJldfKxm-QoxS-oeFE8hjTNtind3ZpkwfrrTd2q4MFDmCHvM-8ML0KnGC4xUHEVGC4EyYGkB5zhnO-hIeaFzBkvy_2fvhADdBTCEqAsKcGHaEBLBiBKPkSvj_rd1e7DNfMseqtjbZuY2apyRptNFhe-7eaLbK2j2woh-tRtxejaJnNN1tjOt0leOJOo9BG906twjA6qVOzJro7Qy-3N8_g-nzzdPYyvJ7mhvIi55FXFjMBGlnIGmuiplVwwA9xgLRnjlEkKOB1OKil50mFa4IoywNwYYukIXfS-a9--dTZEVbtg7GqlG9t2QRFOBRYCME7o-R902Xa-SdclqgROoSAyUaSnjG9D8LZSa-9q7TcKg9rGrvrYVYpdfcWueBo621l309rOfka-c04A7YGQpGZu_e_uf2w_Ae1CjW8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2760730529</pqid></control><display><type>article</type><title>Maximizing treatment efficacy through patient stratification in neuropathic pain trials</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Baron, Ralf ; Dickenson, Anthony H. ; Calvo, Margarita ; Dib-Hajj, Sulayman D. ; Bennett, David L.</creator><creatorcontrib>Baron, Ralf ; Dickenson, Anthony H. ; Calvo, Margarita ; Dib-Hajj, Sulayman D. ; Bennett, David L.</creatorcontrib><description>Treatment of neuropathic pain remains inadequate despite the elucidation of multiple pathophysiological mechanisms and the development of promising therapeutic compounds. The lack of success in translating knowledge into clinical practice has discouraged pharmaceutical companies from investing in pain medicine; however, new patient stratification approaches could help bridge the translation gap and develop individualized therapeutic approaches. As we highlight in this article, subgrouping of patients according to sensory profiles and other baseline characteristics could aid the prediction of treatment success. Furthermore, novel outcome measures have been developed for patients with neuropathic pain. The extent to which sensory profiles and outcome measures can be employed in routine clinical practice and clinical trials and across distinct neuropathic pain aetiologies is yet to be determined. Improvements in animal models, drawing on our knowledge of human pain, and robust public–private partnerships will be needed to pave the way to innovative and effective pain medicine in the future.
Despite substantial research advances, treatment of neuropathic pain remains inadequate and responses to treatment are highly variable. In this Perspective, the authors argue that rational stratification of patients with neuropathic pain will aid identification of subgroups of patients who will benefit most from a given treatment.</description><identifier>ISSN: 1759-4758</identifier><identifier>EISSN: 1759-4766</identifier><identifier>DOI: 10.1038/s41582-022-00741-7</identifier><identifier>PMID: 36400867</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/378/1689/2610 ; 692/617/375/1692 ; Analgesics - therapeutic use ; Animals ; Clinical medicine ; Humans ; Medicine ; Medicine & Public Health ; Neuralgia - drug therapy ; Neurology ; Pain ; Pain Measurement ; Patients ; Perspective ; Treatment Outcome</subject><ispartof>Nature reviews. Neurology, 2023-01, Vol.19 (1), p.53-64</ispartof><rights>Springer Nature Limited 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. Springer Nature Limited.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-97ff4c81c969d0a2abe9784c07c1a94473493010662f9972ab0b51f34017cc2e3</citedby><cites>FETCH-LOGICAL-c375t-97ff4c81c969d0a2abe9784c07c1a94473493010662f9972ab0b51f34017cc2e3</cites><orcidid>0000-0003-3349-9189 ; 0000-0002-4137-1655 ; 0000-0002-9492-4698 ; 0000-0002-7996-2696</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41582-022-00741-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41582-022-00741-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36400867$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baron, Ralf</creatorcontrib><creatorcontrib>Dickenson, Anthony H.</creatorcontrib><creatorcontrib>Calvo, Margarita</creatorcontrib><creatorcontrib>Dib-Hajj, Sulayman D.</creatorcontrib><creatorcontrib>Bennett, David L.</creatorcontrib><title>Maximizing treatment efficacy through patient stratification in neuropathic pain trials</title><title>Nature reviews. Neurology</title><addtitle>Nat Rev Neurol</addtitle><addtitle>Nat Rev Neurol</addtitle><description>Treatment of neuropathic pain remains inadequate despite the elucidation of multiple pathophysiological mechanisms and the development of promising therapeutic compounds. The lack of success in translating knowledge into clinical practice has discouraged pharmaceutical companies from investing in pain medicine; however, new patient stratification approaches could help bridge the translation gap and develop individualized therapeutic approaches. As we highlight in this article, subgrouping of patients according to sensory profiles and other baseline characteristics could aid the prediction of treatment success. Furthermore, novel outcome measures have been developed for patients with neuropathic pain. The extent to which sensory profiles and outcome measures can be employed in routine clinical practice and clinical trials and across distinct neuropathic pain aetiologies is yet to be determined. Improvements in animal models, drawing on our knowledge of human pain, and robust public–private partnerships will be needed to pave the way to innovative and effective pain medicine in the future.
Despite substantial research advances, treatment of neuropathic pain remains inadequate and responses to treatment are highly variable. In this Perspective, the authors argue that rational stratification of patients with neuropathic pain will aid identification of subgroups of patients who will benefit most from a given treatment.</description><subject>631/378/1689/2610</subject><subject>692/617/375/1692</subject><subject>Analgesics - therapeutic use</subject><subject>Animals</subject><subject>Clinical medicine</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neuralgia - drug therapy</subject><subject>Neurology</subject><subject>Pain</subject><subject>Pain Measurement</subject><subject>Patients</subject><subject>Perspective</subject><subject>Treatment Outcome</subject><issn>1759-4758</issn><issn>1759-4766</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kE1LAzEQhoMotlb_gAdZ8OJldfKxm-QoxS-oeFE8hjTNtind3ZpkwfrrTd2q4MFDmCHvM-8ML0KnGC4xUHEVGC4EyYGkB5zhnO-hIeaFzBkvy_2fvhADdBTCEqAsKcGHaEBLBiBKPkSvj_rd1e7DNfMseqtjbZuY2apyRptNFhe-7eaLbK2j2woh-tRtxejaJnNN1tjOt0leOJOo9BG906twjA6qVOzJro7Qy-3N8_g-nzzdPYyvJ7mhvIi55FXFjMBGlnIGmuiplVwwA9xgLRnjlEkKOB1OKil50mFa4IoywNwYYukIXfS-a9--dTZEVbtg7GqlG9t2QRFOBRYCME7o-R902Xa-SdclqgROoSAyUaSnjG9D8LZSa-9q7TcKg9rGrvrYVYpdfcWueBo621l309rOfka-c04A7YGQpGZu_e_uf2w_Ae1CjW8</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Baron, Ralf</creator><creator>Dickenson, Anthony H.</creator><creator>Calvo, Margarita</creator><creator>Dib-Hajj, Sulayman D.</creator><creator>Bennett, David L.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3349-9189</orcidid><orcidid>https://orcid.org/0000-0002-4137-1655</orcidid><orcidid>https://orcid.org/0000-0002-9492-4698</orcidid><orcidid>https://orcid.org/0000-0002-7996-2696</orcidid></search><sort><creationdate>20230101</creationdate><title>Maximizing treatment efficacy through patient stratification in neuropathic pain trials</title><author>Baron, Ralf ; Dickenson, Anthony H. ; Calvo, Margarita ; Dib-Hajj, Sulayman D. ; Bennett, David L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-97ff4c81c969d0a2abe9784c07c1a94473493010662f9972ab0b51f34017cc2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>631/378/1689/2610</topic><topic>692/617/375/1692</topic><topic>Analgesics - therapeutic use</topic><topic>Animals</topic><topic>Clinical medicine</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neuralgia - drug therapy</topic><topic>Neurology</topic><topic>Pain</topic><topic>Pain Measurement</topic><topic>Patients</topic><topic>Perspective</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baron, Ralf</creatorcontrib><creatorcontrib>Dickenson, Anthony H.</creatorcontrib><creatorcontrib>Calvo, Margarita</creatorcontrib><creatorcontrib>Dib-Hajj, Sulayman D.</creatorcontrib><creatorcontrib>Bennett, David L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>MEDLINE - Academic</collection><jtitle>Nature reviews. Neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baron, Ralf</au><au>Dickenson, Anthony H.</au><au>Calvo, Margarita</au><au>Dib-Hajj, Sulayman D.</au><au>Bennett, David L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Maximizing treatment efficacy through patient stratification in neuropathic pain trials</atitle><jtitle>Nature reviews. Neurology</jtitle><stitle>Nat Rev Neurol</stitle><addtitle>Nat Rev Neurol</addtitle><date>2023-01-01</date><risdate>2023</risdate><volume>19</volume><issue>1</issue><spage>53</spage><epage>64</epage><pages>53-64</pages><issn>1759-4758</issn><eissn>1759-4766</eissn><abstract>Treatment of neuropathic pain remains inadequate despite the elucidation of multiple pathophysiological mechanisms and the development of promising therapeutic compounds. The lack of success in translating knowledge into clinical practice has discouraged pharmaceutical companies from investing in pain medicine; however, new patient stratification approaches could help bridge the translation gap and develop individualized therapeutic approaches. As we highlight in this article, subgrouping of patients according to sensory profiles and other baseline characteristics could aid the prediction of treatment success. Furthermore, novel outcome measures have been developed for patients with neuropathic pain. The extent to which sensory profiles and outcome measures can be employed in routine clinical practice and clinical trials and across distinct neuropathic pain aetiologies is yet to be determined. Improvements in animal models, drawing on our knowledge of human pain, and robust public–private partnerships will be needed to pave the way to innovative and effective pain medicine in the future.
Despite substantial research advances, treatment of neuropathic pain remains inadequate and responses to treatment are highly variable. In this Perspective, the authors argue that rational stratification of patients with neuropathic pain will aid identification of subgroups of patients who will benefit most from a given treatment.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>36400867</pmid><doi>10.1038/s41582-022-00741-7</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3349-9189</orcidid><orcidid>https://orcid.org/0000-0002-4137-1655</orcidid><orcidid>https://orcid.org/0000-0002-9492-4698</orcidid><orcidid>https://orcid.org/0000-0002-7996-2696</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1759-4758 |
ispartof | Nature reviews. Neurology, 2023-01, Vol.19 (1), p.53-64 |
issn | 1759-4758 1759-4766 |
language | eng |
recordid | cdi_proquest_miscellaneous_2738188011 |
source | MEDLINE; Springer Nature - Complete Springer Journals |
subjects | 631/378/1689/2610 692/617/375/1692 Analgesics - therapeutic use Animals Clinical medicine Humans Medicine Medicine & Public Health Neuralgia - drug therapy Neurology Pain Pain Measurement Patients Perspective Treatment Outcome |
title | Maximizing treatment efficacy through patient stratification in neuropathic pain trials |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T13%3A24%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Maximizing%20treatment%20efficacy%20through%20patient%20stratification%20in%20neuropathic%20pain%20trials&rft.jtitle=Nature%20reviews.%20Neurology&rft.au=Baron,%20Ralf&rft.date=2023-01-01&rft.volume=19&rft.issue=1&rft.spage=53&rft.epage=64&rft.pages=53-64&rft.issn=1759-4758&rft.eissn=1759-4766&rft_id=info:doi/10.1038/s41582-022-00741-7&rft_dat=%3Cproquest_cross%3E2738188011%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2760730529&rft_id=info:pmid/36400867&rfr_iscdi=true |