Predictors of response to antidepressants in women with postpartum depression: a systematic review
Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sharma, Verinder [verfasserIn] Khan, Mustaq [verfasserIn] Baczynski, Christine [verfasserIn] Boate, Isabel [verfasserIn] |
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E-Artikel |
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Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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Enthalten in: Archives of Women's Mental Health - Springer-Verlag, 2002, 23(2020), 5 vom: 16. Juni, Seite 613-623 |
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| Übergeordnetes Werk: |
volume:23 ; year:2020 ; number:5 ; day:16 ; month:06 ; pages:613-623 |
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| DOI / URN: |
10.1007/s00737-020-01044-w |
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| 520 | |a Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. | ||
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10.1007/s00737-020-01044-w doi (DE-627)SPR040944735 (SPR)s00737-020-01044-w-e DE-627 ger DE-627 rakwb eng Sharma, Verinder verfasserin aut Predictors of response to antidepressants in women with postpartum depression: a systematic review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. Predictors (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Postpartum (dpeaa)DE-He213 Depression (dpeaa)DE-He213 Response (dpeaa)DE-He213 Khan, Mustaq verfasserin aut Baczynski, Christine verfasserin aut Boate, Isabel verfasserin aut Enthalten in Archives of Women's Mental Health Springer-Verlag, 2002 23(2020), 5 vom: 16. Juni, Seite 613-623 (DE-627)SPR007667299 nnns volume:23 year:2020 number:5 day:16 month:06 pages:613-623 https://dx.doi.org/10.1007/s00737-020-01044-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 23 2020 5 16 06 613-623 |
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10.1007/s00737-020-01044-w doi (DE-627)SPR040944735 (SPR)s00737-020-01044-w-e DE-627 ger DE-627 rakwb eng Sharma, Verinder verfasserin aut Predictors of response to antidepressants in women with postpartum depression: a systematic review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. Predictors (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Postpartum (dpeaa)DE-He213 Depression (dpeaa)DE-He213 Response (dpeaa)DE-He213 Khan, Mustaq verfasserin aut Baczynski, Christine verfasserin aut Boate, Isabel verfasserin aut Enthalten in Archives of Women's Mental Health Springer-Verlag, 2002 23(2020), 5 vom: 16. Juni, Seite 613-623 (DE-627)SPR007667299 nnns volume:23 year:2020 number:5 day:16 month:06 pages:613-623 https://dx.doi.org/10.1007/s00737-020-01044-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 23 2020 5 16 06 613-623 |
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10.1007/s00737-020-01044-w doi (DE-627)SPR040944735 (SPR)s00737-020-01044-w-e DE-627 ger DE-627 rakwb eng Sharma, Verinder verfasserin aut Predictors of response to antidepressants in women with postpartum depression: a systematic review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. Predictors (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Postpartum (dpeaa)DE-He213 Depression (dpeaa)DE-He213 Response (dpeaa)DE-He213 Khan, Mustaq verfasserin aut Baczynski, Christine verfasserin aut Boate, Isabel verfasserin aut Enthalten in Archives of Women's Mental Health Springer-Verlag, 2002 23(2020), 5 vom: 16. Juni, Seite 613-623 (DE-627)SPR007667299 nnns volume:23 year:2020 number:5 day:16 month:06 pages:613-623 https://dx.doi.org/10.1007/s00737-020-01044-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 23 2020 5 16 06 613-623 |
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10.1007/s00737-020-01044-w doi (DE-627)SPR040944735 (SPR)s00737-020-01044-w-e DE-627 ger DE-627 rakwb eng Sharma, Verinder verfasserin aut Predictors of response to antidepressants in women with postpartum depression: a systematic review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. Predictors (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Postpartum (dpeaa)DE-He213 Depression (dpeaa)DE-He213 Response (dpeaa)DE-He213 Khan, Mustaq verfasserin aut Baczynski, Christine verfasserin aut Boate, Isabel verfasserin aut Enthalten in Archives of Women's Mental Health Springer-Verlag, 2002 23(2020), 5 vom: 16. Juni, Seite 613-623 (DE-627)SPR007667299 nnns volume:23 year:2020 number:5 day:16 month:06 pages:613-623 https://dx.doi.org/10.1007/s00737-020-01044-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 23 2020 5 16 06 613-623 |
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10.1007/s00737-020-01044-w doi (DE-627)SPR040944735 (SPR)s00737-020-01044-w-e DE-627 ger DE-627 rakwb eng Sharma, Verinder verfasserin aut Predictors of response to antidepressants in women with postpartum depression: a systematic review 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. Predictors (dpeaa)DE-He213 Antidepressants (dpeaa)DE-He213 Postpartum (dpeaa)DE-He213 Depression (dpeaa)DE-He213 Response (dpeaa)DE-He213 Khan, Mustaq verfasserin aut Baczynski, Christine verfasserin aut Boate, Isabel verfasserin aut Enthalten in Archives of Women's Mental Health Springer-Verlag, 2002 23(2020), 5 vom: 16. Juni, Seite 613-623 (DE-627)SPR007667299 nnns volume:23 year:2020 number:5 day:16 month:06 pages:613-623 https://dx.doi.org/10.1007/s00737-020-01044-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA AR 23 2020 5 16 06 613-623 |
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Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. |
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Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. The results of our review highlight the urgent need to identify predictors of response, non-response, or remission to antidepressants in women with postpartum depression. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR040944735</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519065518.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00737-020-01044-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040944735</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00737-020-01044-w-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sharma, Verinder</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Predictors of response to antidepressants in women with postpartum depression: a systematic review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Antidepressants are the mainstay of drug treatment for moderate or severe postpartum depression. Knowledge of predictors of response could help optimize treatment and reduce the adverse consequences of postpartum depression. The purpose of this systematic review was to ascertain predictors of response or remission to antidepressant treatment in women with postpartum depression. The electronic databases of MEDLINE/PubMed, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Evidence-based Medicine Reviews were searched through December 2019. The search was limited to studies published in the English language. Reference lists of articles that met the inclusion criteria were also searched. We identified some predictors of response and remission that could potentially assist in the optimization of drug treatment of postpartum depression; however, caution is needed to apply these findings in clinical practice due to the heterogeneous nature of postpartum depression. 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Juni, Seite 613-623</subfield><subfield code="w">(DE-627)SPR007667299</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:23</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:5</subfield><subfield code="g">day:16</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:613-623</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00737-020-01044-w</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">23</subfield><subfield code="j">2020</subfield><subfield code="e">5</subfield><subfield code="b">16</subfield><subfield code="c">06</subfield><subfield code="h">613-623</subfield></datafield></record></collection>
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