The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial
Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not pre...
Saved in:
| Published in: | Neuropsychopharmacology Vol. 46; no. 7; pp. 1307 - 1314 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Nature Publishing Group
01.06.2021
|
| Subjects: | |
| ISSN: | 0893-133X, 1740-634X, 1740-634X, 0007-0920 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not previously been tested. We assessed the clinical effectiveness of using a predictive algorithm, based on behavioural tests of affective cognition and subjective symptoms, to guide antidepressant treatment. We conducted a multicentre, open-label, randomised controlled trial in 913 medication-free depressed patients. Patients were randomly assigned to have their antidepressant treatment guided by a predictive algorithm or treatment as usual (TaU). The primary outcome was the response of depression symptoms, defined as a 50% or greater reduction in baseline score of the QIDS-SR-16 scale, at week 8. Additional prespecified outcomes included symptoms of anxiety at week 8, and symptoms of depression and functional outcome at weeks 8, 24 and 48. The response rate of depressive symptoms at week 8 in the PReDicT (55.9%) and TaU (51.8%) arms did not differ significantly (odds ratio: 1.18 (95% CI: 0.89-1.56), P = 0.25). However, there was a significantly greater reduction of anxiety in week 8 and a greater improvement in functional outcome at week 24 in the PReDicT arm. Use of the PReDicT test did not increase the rate of response to antidepressant treatment estimated by depressive symptoms but did improve symptoms of anxiety at week 8 and functional outcome at week 24. Our findings indicate that personalisation of antidepressant treatment may improve outcomes in depressed patients. |
|---|---|
| AbstractList | Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not previously been tested. We assessed the clinical effectiveness of using a predictive algorithm, based on behavioural tests of affective cognition and subjective symptoms, to guide antidepressant treatment. We conducted a multicentre, open-label, randomised controlled trial in 913 medication-free depressed patients. Patients were randomly assigned to have their antidepressant treatment guided by a predictive algorithm or treatment as usual (TaU). The primary outcome was the response of depression symptoms, defined as a 50% or greater reduction in baseline score of the QIDS-SR-16 scale, at week 8. Additional prespecified outcomes included symptoms of anxiety at week 8, and symptoms of depression and functional outcome at weeks 8, 24 and 48. The response rate of depressive symptoms at week 8 in the PReDicT (55.9%) and TaU (51.8%) arms did not differ significantly (odds ratio: 1.18 (95% CI: 0.89-1.56), P = 0.25). However, there was a significantly greater reduction of anxiety in week 8 and a greater improvement in functional outcome at week 24 in the PReDicT arm. Use of the PReDicT test did not increase the rate of response to antidepressant treatment estimated by depressive symptoms but did improve symptoms of anxiety at week 8 and functional outcome at week 24. Our findings indicate that personalisation of antidepressant treatment may improve outcomes in depressed patients.Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not previously been tested. We assessed the clinical effectiveness of using a predictive algorithm, based on behavioural tests of affective cognition and subjective symptoms, to guide antidepressant treatment. We conducted a multicentre, open-label, randomised controlled trial in 913 medication-free depressed patients. Patients were randomly assigned to have their antidepressant treatment guided by a predictive algorithm or treatment as usual (TaU). The primary outcome was the response of depression symptoms, defined as a 50% or greater reduction in baseline score of the QIDS-SR-16 scale, at week 8. Additional prespecified outcomes included symptoms of anxiety at week 8, and symptoms of depression and functional outcome at weeks 8, 24 and 48. The response rate of depressive symptoms at week 8 in the PReDicT (55.9%) and TaU (51.8%) arms did not differ significantly (odds ratio: 1.18 (95% CI: 0.89-1.56), P = 0.25). However, there was a significantly greater reduction of anxiety in week 8 and a greater improvement in functional outcome at week 24 in the PReDicT arm. Use of the PReDicT test did not increase the rate of response to antidepressant treatment estimated by depressive symptoms but did improve symptoms of anxiety at week 8 and functional outcome at week 24. Our findings indicate that personalisation of antidepressant treatment may improve outcomes in depressed patients. Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not previously been tested. We assessed the clinical effectiveness of using a predictive algorithm, based on behavioural tests of affective cognition and subjective symptoms, to guide antidepressant treatment. We conducted a multicentre, open-label, randomised controlled trial in 913 medication-free depressed patients. Patients were randomly assigned to have their antidepressant treatment guided by a predictive algorithm or treatment as usual (TaU). The primary outcome was the response of depression symptoms, defined as a 50% or greater reduction in baseline score of the QIDS-SR-16 scale, at week 8. Additional prespecified outcomes included symptoms of anxiety at week 8, and symptoms of depression and functional outcome at weeks 8, 24 and 48. The response rate of depressive symptoms at week 8 in the PReDicT (55.9%) and TaU (51.8%) arms did not differ significantly (odds ratio: 1.18 (95% CI: 0.89-1.56), P = 0.25). However, there was a significantly greater reduction of anxiety in week 8 and a greater improvement in functional outcome at week 24 in the PReDicT arm. Use of the PReDicT test did not increase the rate of response to antidepressant treatment estimated by depressive symptoms but did improve symptoms of anxiety at week 8 and functional outcome at week 24. Our findings indicate that personalisation of antidepressant treatment may improve outcomes in depressed patients. |
| Author | Sola, Victor Perez Elices, Matilde Ruhe, Henricus G van Schaik, Anneke Dias, Rebecca Browning, Michael Guo, Boliang Lever, Anne G Bilderbeck, Amy C Menke, Andreas Reif, Andreas Dawson, Gerard R Dourish, Colin T Kingslake, Jonathan Morriss, Richard Harmer, Catherine J Scanferla, Elisabetta Gorwood, Philip Simon, Judit Goodwin, Guy M Deckert, Jürgen Stäblein, Michael Veltman, Dick J |
| Author_xml | – sequence: 1 givenname: Michael surname: Browning fullname: Browning, Michael email: mbrowning@p1vital.com, mbrowning@p1vital.com, mbrowning@p1vital.com organization: Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK. mbrowning@p1vital.com – sequence: 2 givenname: Amy C surname: Bilderbeck fullname: Bilderbeck, Amy C organization: P1vital Ltd, Howbery Park, Wallingford, UK – sequence: 3 givenname: Rebecca surname: Dias fullname: Dias, Rebecca organization: P1vital Products Ltd, Howbery Park, Wallingford, UK – sequence: 4 givenname: Colin T orcidid: 0000-0002-3403-6330 surname: Dourish fullname: Dourish, Colin T organization: P1vital Products Ltd, Howbery Park, Wallingford, UK – sequence: 5 givenname: Jonathan surname: Kingslake fullname: Kingslake, Jonathan organization: P1vital Products Ltd, Howbery Park, Wallingford, UK – sequence: 6 givenname: Jürgen surname: Deckert fullname: Deckert, Jürgen organization: Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany – sequence: 7 givenname: Guy M orcidid: 0000-0002-1426-2816 surname: Goodwin fullname: Goodwin, Guy M organization: Department of Psychiatry, University of Oxford, Oxford, UK – sequence: 8 givenname: Philip surname: Gorwood fullname: Gorwood, Philip organization: GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte Anne, Paris, France – sequence: 9 givenname: Boliang surname: Guo fullname: Guo, Boliang organization: Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK – sequence: 10 givenname: Catherine J orcidid: 0000-0002-1609-8335 surname: Harmer fullname: Harmer, Catherine J organization: Department of Psychiatry, University of Oxford, Oxford, UK – sequence: 11 givenname: Richard surname: Morriss fullname: Morriss, Richard organization: Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK – sequence: 12 givenname: Andreas orcidid: 0000-0002-0992-634X surname: Reif fullname: Reif, Andreas organization: Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt - Goethe University, Frankfurt am Main, Germany – sequence: 13 givenname: Henricus G surname: Ruhe fullname: Ruhe, Henricus G organization: Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands – sequence: 14 givenname: Anneke surname: van Schaik fullname: van Schaik, Anneke organization: Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands – sequence: 15 givenname: Judit surname: Simon fullname: Simon, Judit organization: Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria – sequence: 16 givenname: Victor Perez surname: Sola fullname: Sola, Victor Perez organization: Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain. Centro de Investigación Biomédica en Red (CIBERSAM), Madrid, Spain – sequence: 17 givenname: Dick J surname: Veltman fullname: Veltman, Dick J organization: Department of Psychiatry, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands – sequence: 18 givenname: Matilde surname: Elices fullname: Elices, Matilde organization: Hospital del Mar Medical Research Institute, IMIM, Barcelona, Spain. Centro de Investigación Biomédica en Red (CIBERSAM), Madrid, Spain – sequence: 19 givenname: Anne G surname: Lever fullname: Lever, Anne G organization: Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands – sequence: 20 givenname: Andreas orcidid: 0000-0002-1498-1992 surname: Menke fullname: Menke, Andreas organization: Medical Park Chiemseeblick, Bernau-Felden, Germany – sequence: 21 givenname: Elisabetta surname: Scanferla fullname: Scanferla, Elisabetta organization: Université Paris, ED 450, Paris, France – sequence: 22 givenname: Michael surname: Stäblein fullname: Stäblein, Michael organization: Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt - Goethe University, Frankfurt am Main, Germany – sequence: 23 givenname: Gerard R surname: Dawson fullname: Dawson, Gerard R organization: P1vital Products Ltd, Howbery Park, Wallingford, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33637837$$D View this record in MEDLINE/PubMed https://inserm.hal.science/inserm-03280352$$DView record in HAL |
| BookMark | eNpdkU1vFDEMhiNURLeFP8ABReJSpAaSeD4y3KryUaSVQGgPvY2yGWc3VSZZkkwl-Dn8UgJdOHDyK_ux9do-IychBiTkueCvBQf1JjcCVMe4FIzzQQn24xFZib7hrIPm9oSsuBqACYDbU3KW8x3nou079YScAnTQK-hX5Odmj9R4F5zRnqK1aIq7x4A502jpkl3YUU0PCSf3p0K138Xkyn6mJdLd4qaaCqWGyuRcJS0JdZmxKhdqp5t1-k6NTkgvvnzFd85sXr2tPTQeMDCvt-gvadJhirPLOFETQ0nR-ypLcto_JY-t9hmfHeM52Xx4v7m-YevPHz9dX62Zabq-MGu54FtpplZp3ApuDQg1KAnaInaao2k72VmtpLK8MWCEsUJCD5MCWe95Ti4fxu61H4-ux6jdeHO1Hl3ImOaRg1QcWnkvKn7xgB9S_LZgLmN1b9B7HTAueZTN0EB9TdNU9OV_6F1cUqi7jLKVA-fV5O-BL47Usp1x-mfh76_gF5qWmlE |
| CitedBy_id | crossref_primary_10_1038_s41398_024_02944_6 crossref_primary_10_1007_s10488_023_01340_4 crossref_primary_10_3389_fpsyt_2023_1227426 crossref_primary_10_1016_j_jad_2023_02_007 crossref_primary_10_1017_S0033291721003871 crossref_primary_10_3389_fpsyt_2022_663763 crossref_primary_10_1001_jamanetworkopen_2024_61502 crossref_primary_10_1016_j_comppsych_2024_152467 crossref_primary_10_1007_s00406_022_01418_4 crossref_primary_10_1016_j_euroneuro_2021_11_004 crossref_primary_10_1177_02698811221116928 crossref_primary_10_1186_s12888_023_04618_x crossref_primary_10_1016_j_neubiorev_2021_12_014 crossref_primary_10_1016_j_biopsych_2022_09_034 crossref_primary_10_1186_s12875_022_01681_3 crossref_primary_10_1017_S0033291722002124 crossref_primary_10_1080_15622975_2024_2441304 crossref_primary_10_2196_37188 crossref_primary_10_1007_s10597_022_00957_3 crossref_primary_10_1038_s41380_024_02765_5 crossref_primary_10_1136_bmjopen_2021_060516 crossref_primary_10_1111_eip_13458 crossref_primary_10_1016_j_jad_2024_01_145 crossref_primary_10_3390_ph14080800 crossref_primary_10_1016_S0140_6736_22_02080_3 crossref_primary_10_1016_j_jad_2023_01_082 crossref_primary_10_1007_s12325_021_01861_0 crossref_primary_10_1016_j_euroneuro_2025_01_006 crossref_primary_10_3390_brainsci12070934 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Distributed under a Creative Commons Attribution 4.0 International License |
| Copyright_xml | – notice: The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Distributed under a Creative Commons Attribution 4.0 International License |
| DBID | NPM 3V. 7TK 7X7 7XB 88E 88G 8AO 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2M M7P PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ Q9U 7X8 1XC VOOES |
| DOI | 10.1038/s41386-021-00981-z |
| DatabaseName | PubMed ProQuest Central (Corporate) Neurosciences Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Psychology Database (Alumni) ProQuest Pharma Collection ProQuest SciTech Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database ProQuest Psychology Journals Biological Science Database ProQuest Central Premium ProQuest One Academic ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology ProQuest Central Basic MEDLINE - Academic Hyper Article en Ligne (HAL) Hyper Article en Ligne (HAL) (Open Access) |
| DatabaseTitle | PubMed ProQuest One Psychology ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Biological Science Collection ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Psychology Journals (Alumni) Biological Science Database ProQuest SciTech Collection Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest Psychology Journals ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed ProQuest One Psychology |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Anatomy & Physiology Pharmacy, Therapeutics, & Pharmacology |
| EISSN | 1740-634X 0007-0920 |
| EndPage | 1314 |
| ExternalDocumentID | oai:HAL:inserm-03280352v1 33637837 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) grantid: 696802 |
| GroupedDBID | --- --K -DZ -Q- 0R~ 1B1 29N 2WC 36B 39C 3V. 4.4 406 53G 5RE 5VS 70F 7X7 88E 8AO 8FI 8FJ 8R4 8R5 AACDK AAEDT AALRI AANZL AAQFI AAQXK AASML AATNV AAXUO AAYZH AAZLF ABAKF ABIVO ABJNI ABLJU ABMAC ABUWG ABWVN ABZZP ACAOD ACGFO ACGFS ACIUM ACKTT ACMJI ACPRK ACRPL ACRQY ACZOJ ADBBV ADFRT ADHDB ADMUD ADNMO AEFQL AEJRE AEMSY AENEX AESKC AEVLU AEXYK AFBBN AFKRA AFRAH AFSHS AGAYW AGHAI AGQEE AHMBA AHSBF AIGIU AILAN AJRNO ALFFA ALIPV ALMA_UNASSIGNED_HOLDINGS AMYLF AOIJS ASPBG AVWKF AZFZN AZQEC BAWUL BBNVY BENPR BHPHI BPHCQ BVXVI CAG CCPQU COF CS3 DIK DNIVK DPUIP DWQXO E3Z EBLON EBS EE. EIOEI EJD EMB EMOBN F5P FDB FDQFY FEDTE FERAY FGOYB FIGPU FIZPM FSGXE FYUFA GNUQQ GX1 HCIFZ HMCUK HVGLF HYE HZ~ IHE IWAJR JSO JZLTJ KQ8 LGEZI LOTEE M1P M2M M41 M7P MK0 NADUK NAO NPM NQ- NQJWS NXXTH O9- OK1 P2P P6G PQQKQ PROAC PSQYO PSYQQ Q2X R2- RIG RNS RNT RNTTT ROL RPM RPZ SEW SNX SNYQT SOHCF SOJ SRMVM SSZ SV3 SWTZT TAOOD TBHMF TDRGL TR2 UKHRP W2D ZGI ZKB 7TK 7XB 8FE 8FH 8FK ABBRH ABDBE ABFSG ABRTQ ACSTC AEZWR AFDZB AFHIU AHWEU AIXLP ATHPR AYFIA K9. LK8 PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQUKI PRINS Q9U 7X8 PUEGO 1XC VOOES |
| ID | FETCH-LOGICAL-c467t-ff010b2cd58aeb10fc3189823afee6a0ec5626fa828f04c3c1cf12373d832103 |
| IEDL.DBID | M7P |
| ISICitedReferencesCount | 35 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000622319400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0893-133X 1740-634X |
| IngestDate | Tue Oct 14 20:56:58 EDT 2025 Fri Sep 05 07:38:28 EDT 2025 Fri Oct 03 09:30:24 EDT 2025 Wed Feb 19 02:28:11 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Language | English |
| License | Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c467t-ff010b2cd58aeb10fc3189823afee6a0ec5626fa828f04c3c1cf12373d832103 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 PMCID: PMC8134561 |
| ORCID | 0000-0002-1609-8335 0000-0002-3403-6330 0000-0002-0992-634X 0000-0002-1426-2816 0000-0002-1498-1992 0000-0002-6985-6662 |
| OpenAccessLink | https://inserm.hal.science/inserm-03280352 |
| PMID | 33637837 |
| PQID | 2529008231 |
| PQPubID | 33935 |
| PageCount | 8 |
| ParticipantIDs | hal_primary_oai_HAL_inserm_03280352v1 proquest_miscellaneous_2494302144 proquest_journals_2529008231 pubmed_primary_33637837 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-06-01 |
| PublicationDateYYYYMMDD | 2021-06-01 |
| PublicationDate_xml | – month: 06 year: 2021 text: 2021-06-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England – name: New York |
| PublicationTitle | Neuropsychopharmacology |
| PublicationTitleAlternate | Neuropsychopharmacology |
| PublicationYear | 2021 |
| Publisher | Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group |
| SSID | ssj0015768 ssj0009087 |
| Score | 2.5228105 |
| Snippet | Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine... |
| SourceID | hal proquest pubmed |
| SourceType | Open Access Repository Aggregation Database Index Database |
| StartPage | 1307 |
| SubjectTerms | Algorithms Antidepressants Anxiety Clinical trials Cognition Human health and pathology Life Sciences Mental depression Patients Precision medicine |
| Title | The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/33637837 https://www.proquest.com/docview/2529008231 https://www.proquest.com/docview/2494302144 https://inserm.hal.science/inserm-03280352 |
| Volume | 46 |
| WOSCitedRecordID | wos000622319400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: Biological Science Database (Proquest) customDbUrl: eissn: 1740-634X dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0009087 issn: 0893-133X databaseCode: M7P dateStart: 20190101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection (Proquest) customDbUrl: eissn: 1740-634X dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0009087 issn: 0893-133X databaseCode: 7X7 dateStart: 20190101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Nursing & Allied Health Database (Proquest) customDbUrl: eissn: 1740-634X dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0009087 issn: 0893-133X databaseCode: 7RV dateStart: 20190101 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1740-634X dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0009087 issn: 0893-133X databaseCode: BENPR dateStart: 20190101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Proquest Public Health Database customDbUrl: eissn: 1740-634X dateEnd: 20211231 omitProxy: false ssIdentifier: ssj0009087 issn: 0893-133X databaseCode: 8C1 dateStart: 20190101 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bb9MwFD5iG0K8cOkYFEZlJJhAqrUkbnPhBRXYtAdaRVMf-hY5jt1FapPRppPKz-GXco7rZk_wwkuUxrVz8fG52J-_A_A-MXHs66DggR4GGKDIAc-LXHNixfW1QQscSptsIppM4tksSd2E29rBKvc60SrqolY0R34eDIPELgv5X25_csoaRaurLoXGARwRS4Kw0L20XUUgX9p6kYngGIvN3KYZT8Tna1TeMcFvMZj2ktjnv9C43BAW8m-OpjU4l0__91GfwRPnarLRTjaewwNddeB4VGGYvdyyM2bBn3ZWvQOPxm6NvQNn6Y7Nettn0_vNWeu-rdHyXG-P4TcWs_3OSrYDhjjdyWrDCFE_Z5LdrqhpKmFyMcfnbG6WrKnZfFMWeKlqSofGxVPW4t5ZWWFNy4TBCJ3GPqbX-nuppp8-Yx1GSb84CrBe9Bla26JGcdUFc8D7BZ7adCQvYHp5Mf12xV3KB65QYzfcGIwP80AVw1iiFfGMQp2T4KeURutQelqhvxYaiXGi8QZKKF8ZtL2RKCjjkidO4LCqK_0KWEg0Q4M88pTGpmWRxNJ4ucqlKFQog6gLH7C7M_cmGbFsX41-ZGWFI3-ZEcsgMcXe-V043Xdy5ob3Orvv4S68a4vxTWm1RVa63uB_BsRsT4x0XXi5E6T2bkKEIopF9Prfjb-Bx4GVUJr0OYXDZrXRb-GhumvK9aoHB9Essse4B0dfLybpNf4aB-OeHQV4nKTjP7SkDzs |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VgoALj5RHoMAg0QqkWLXXiR9ICEWUKlWTqEI55Gat17uppcQuiVMUfg53_iMzGyc9wa0HbpbXO5bXs_PYmfkG4F1sosjTInOE7ghyUGTbSbNUO4yK62lDGjiQttlEOBxG43F8vgO_N7UwnFa5kYlWUGel4jPyI9ERsQ0LeZ8vvzvcNYqjq5sWGmu2ONOrH-SyLT6dHtP_PRDi5OvoS8-puwo4ioRC5RhDLkgqVNaJJAkq1yhi65gIS6N1IF2tyCQIjCRXxLht5StPGRLvoZ9xUx_XJ7K34HabHCHuFDEQg23Qgk13a7TGvkOu37iu0XH96GhBuiLibF_y3d048pyfpMsuOPXyb3at1W8nD_-zlXkED2pDGrtrzn8MO7powF63kFU5W-Eh2tRWGzNowN1BnUHQgMPzNVb3qoWj69KzRcvO2KJ4r_bgFw3jpm4U12kvtWbA0iDXC0xQ4uWcSfMIyumElqW6mGFV4mSZZ3SrqPI615gucZvVj3lBMy3OB3LuHb4__6aPczX68JHmILc0c2h76mkLyZbIStqMOsO6rGBKl7bZyhMY3cQCP4Xdoiz0c8CAQZTaaegqTaRlFkfSuKlKpZ-pQIqwCQfEXUn9JQljiPe6_SQvSK7NEsZQZBzcK68J-xueSmrhtUiuGaoJb7fD9KUcS5KFLpf0TJtx-xlvrwnP1ny7fZvvB34Y-eGLfxN_A_d6o0E_6Z8Oz17CfWE3Bx9v7cNuNV_qV3BHXVX5Yv7abjOE5IaZ9w8DQWYO |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VgiouBVIegQKDRCsqxYofiR9ICEWEqFVLFKEccrPW693UUmK3iVMUfg7_gn_HzNpJT3DrgZuV9a7lzczsjOebbwDeRzoMHeWmlqu6LgUoomMlaaIsZsV1lKYT2Bem2UQwHIaTSTTagd-bWhiGVW5sojHUaSH5G3nb7bqRSQs5bV3DIkb9weera4s7SHGmddNOoxKRc7X-QeHb8tNZn_7rI9cdfB1_ObXqDgOWJANRWlpTOJK4Mu2GgoyWrSWJeEQPEVopX9hKknvga0FhibY70pOO1GTqAy_lBj-2R8veg_sBc5Yb1OBom8BgN944sJFnURg4qet1bC9sL-ncCBn5S3G8HYWO9ZPOtUuGYf7NxzVn3eDRf7xLj2G_drCxV2nEE9hReQMOerkoi_kaj9FAXk0uoQF732pkQQOORxWH97qF49uStGXLzNiye68P4BcN46aeFCs4TH1iYKGR6wimKPBqwUvzCIrZlLalvJxjWeB0laX0U15mNQaZLnGL9scsp5mG_wMZk4cfRt9VP5Pjk480B7nVmUVqq2YtJB8jLUhJVYp1ucGMLk0TlqcwvosNfga7eZGrF4A-kyt1ksCWipYWaRQKbScyEV4qfeEGTTgiSYvrN4mZW_y0dxFnOdm7eczcisyPe-M04XAjX3Ft1JbxrXA14d12mN6Uc0wiV8WK7ukwnz_z8DXheSXD26d5nu8FoRe8_Pfib2GPZDa-OBuev4KHrtET_up1CLvlYqVewwN5U2bLxRujcQjxHcvuH9nYbt8 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+clinical+effectiveness+of+using+a+predictive+algorithm+to+guide+antidepressant+treatment+in+primary+care+%28PReDicT%29%3A+an+open-label%2C+randomised+controlled+trial&rft.jtitle=Neuropsychopharmacology&rft.au=Browning%2C+Michael&rft.au=Bilderbeck%2C+Amy+C&rft.au=Dias%2C+Rebecca&rft.au=Dourish%2C+Colin+T&rft.date=2021-06-01&rft.pub=Nature+Publishing+Group&rft.issn=0893-133X&rft.eissn=0007-0920&rft.volume=46&rft.issue=7&rft.spage=1307&rft.epage=1314&rft_id=info:doi/10.1038%2Fs41386-021-00981-z&rft_id=info%3Apmid%2F33637837&rft.externalDBID=HAS_PDF_LINK&rft.externalDocID=oai%3AHAL%3Ainserm-03280352v1 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0893-133X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0893-133X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0893-133X&client=summon |