Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Met...
- Autores
- Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; Cuijpers, Pim; Ziegelstein, Roy C.; Gilbody, Simon; Fischer, Felix H.; Fan, Suiqiong; Sun, Ying; He, Chen; Krishnan, Ankur; Neupane, Dipika; Bhandari, Parash Mani; Negeri, Zelalem; Riehm, Kira E.; Rice, Danielle B.; Azar, Marleine; Yan, Xin Wei; Imran, Mahrukh; Chiovitti, Matthew J.; Boruff, Jill T.; McMillan, Dean; Kloda, Lorie A.; Wiese, Birgitt; Williams, Lana J.; Wong, Lai Yi; Benedetti, Andrea; Thombs, Brett D.
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred.
Fil: Yin Wu. Lady Davis Institute For Medical Research; Canadá. McGill University; Canadá
Fil: Levis, Brooke. Lady Davis Institute For Medical Research; Canadá. Keele University; Reino Unido
Fil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Farmacologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ioannidis, John P. A.. University of Stanford; Estados Unidos
Fil: Patten, Scott B.. University of Calgary; Canadá
Fil: Cuijpers, Pim. Vrije Universiteit Amsterdam; Países Bajos
Fil: Ziegelstein, Roy C.. University Johns Hopkins; Estados Unidos
Fil: Gilbody, Simon. University of York; Reino Unido
Fil: Fischer, Felix H.. Universität zu Berlin; Alemania
Fil: Fan, Suiqiong. Jewish General Hospital; Canadá
Fil: Sun, Ying. Jewish General Hospital; Canadá
Fil: He, Chen. Jewish General Hospital; Canadá
Fil: Krishnan, Ankur. Jewish General Hospital; Canadá
Fil: Neupane, Dipika. Jewish General Hospital; Canadá
Fil: Bhandari, Parash Mani. Jewish General Hospital; Canadá
Fil: Negeri, Zelalem. Jewish General Hospital; Canadá
Fil: Riehm, Kira E.. Jewish General Hospital; Canadá
Fil: Rice, Danielle B.. Jewish General Hospital; Canadá
Fil: Azar, Marleine. Jewish General Hospital; Canadá
Fil: Yan, Xin Wei. Jewish General Hospital; Canadá
Fil: Imran, Mahrukh. Jewish General Hospital; Canadá
Fil: Chiovitti, Matthew J.. Jewish General Hospital; Canadá
Fil: Boruff, Jill T.. McGill University; Canadá
Fil: McMillan, Dean. University of York; Reino Unido
Fil: Kloda, Lorie A.. Concordia University; Canadá
Fil: Wiese, Birgitt. Hannover Medical School; Alemania
Fil: Williams, Lana J.. Universidad Complutense de Madrid; España
Fil: Wong, Lai Yi. Kwai Chung Hospital; China
Fil: Benedetti, Andrea. McGill University; Canadá
Fil: Thombs, Brett D.. McGill University; Canadá. Jewish General Hospital; Canadá - Materia
-
HADS
Major Depression
Screening
Accuracy - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/239210
Ver los metadatos del registro completo
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Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-AnalysisYin WuLevis, BrookeDaray, Federico ManuelIoannidis, John P. A.Patten, Scott B.Cuijpers, PimZiegelstein, Roy C.Gilbody, SimonFischer, Felix H.Fan, SuiqiongSun, YingHe, ChenKrishnan, AnkurNeupane, DipikaBhandari, Parash ManiNegeri, ZelalemRiehm, Kira E.Rice, Danielle B.Azar, MarleineYan, Xin WeiImran, MahrukhChiovitti, Matthew J.Boruff, Jill T.McMillan, DeanKloda, Lorie A.Wiese, BirgittWilliams, Lana J.Wong, Lai YiBenedetti, AndreaThombs, Brett D.HADSMajor DepressionScreeningAccuracyhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred.Fil: Yin Wu. Lady Davis Institute For Medical Research; Canadá. McGill University; CanadáFil: Levis, Brooke. Lady Davis Institute For Medical Research; Canadá. Keele University; Reino UnidoFil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Farmacologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ioannidis, John P. A.. University of Stanford; Estados UnidosFil: Patten, Scott B.. University of Calgary; CanadáFil: Cuijpers, Pim. Vrije Universiteit Amsterdam; Países BajosFil: Ziegelstein, Roy C.. University Johns Hopkins; Estados UnidosFil: Gilbody, Simon. University of York; Reino UnidoFil: Fischer, Felix H.. Universität zu Berlin; AlemaniaFil: Fan, Suiqiong. Jewish General Hospital; CanadáFil: Sun, Ying. Jewish General Hospital; CanadáFil: He, Chen. Jewish General Hospital; CanadáFil: Krishnan, Ankur. Jewish General Hospital; CanadáFil: Neupane, Dipika. Jewish General Hospital; CanadáFil: Bhandari, Parash Mani. Jewish General Hospital; CanadáFil: Negeri, Zelalem. Jewish General Hospital; CanadáFil: Riehm, Kira E.. Jewish General Hospital; CanadáFil: Rice, Danielle B.. Jewish General Hospital; CanadáFil: Azar, Marleine. Jewish General Hospital; CanadáFil: Yan, Xin Wei. Jewish General Hospital; CanadáFil: Imran, Mahrukh. Jewish General Hospital; CanadáFil: Chiovitti, Matthew J.. Jewish General Hospital; CanadáFil: Boruff, Jill T.. McGill University; CanadáFil: McMillan, Dean. University of York; Reino UnidoFil: Kloda, Lorie A.. Concordia University; CanadáFil: Wiese, Birgitt. Hannover Medical School; AlemaniaFil: Williams, Lana J.. Universidad Complutense de Madrid; EspañaFil: Wong, Lai Yi. Kwai Chung Hospital; ChinaFil: Benedetti, Andrea. McGill University; CanadáFil: Thombs, Brett D.. McGill University; Canadá. Jewish General Hospital; CanadáAmerican Psychological Association2024-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/239210Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; et al.; Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis; American Psychological Association; Psychological Assessment; 35; 2; 6-2024; 94-1141939-134XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1037/pas0001181info:eu-repo/semantics/altIdentifier/url/https://psycnet.apa.org/doiLanding?doi=10.1037%2Fpas0001181info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:01Zoai:ri.conicet.gov.ar:11336/239210instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:38:02.264CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
title |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
spellingShingle |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis Yin Wu HADS Major Depression Screening Accuracy |
title_short |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
title_full |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
title_fullStr |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
title_full_unstemmed |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
title_sort |
Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis |
dc.creator.none.fl_str_mv |
Yin Wu Levis, Brooke Daray, Federico Manuel Ioannidis, John P. A. Patten, Scott B. Cuijpers, Pim Ziegelstein, Roy C. Gilbody, Simon Fischer, Felix H. Fan, Suiqiong Sun, Ying He, Chen Krishnan, Ankur Neupane, Dipika Bhandari, Parash Mani Negeri, Zelalem Riehm, Kira E. Rice, Danielle B. Azar, Marleine Yan, Xin Wei Imran, Mahrukh Chiovitti, Matthew J. Boruff, Jill T. McMillan, Dean Kloda, Lorie A. Wiese, Birgitt Williams, Lana J. Wong, Lai Yi Benedetti, Andrea Thombs, Brett D. |
author |
Yin Wu |
author_facet |
Yin Wu Levis, Brooke Daray, Federico Manuel Ioannidis, John P. A. Patten, Scott B. Cuijpers, Pim Ziegelstein, Roy C. Gilbody, Simon Fischer, Felix H. Fan, Suiqiong Sun, Ying He, Chen Krishnan, Ankur Neupane, Dipika Bhandari, Parash Mani Negeri, Zelalem Riehm, Kira E. Rice, Danielle B. Azar, Marleine Yan, Xin Wei Imran, Mahrukh Chiovitti, Matthew J. Boruff, Jill T. McMillan, Dean Kloda, Lorie A. Wiese, Birgitt Williams, Lana J. Wong, Lai Yi Benedetti, Andrea Thombs, Brett D. |
author_role |
author |
author2 |
Levis, Brooke Daray, Federico Manuel Ioannidis, John P. A. Patten, Scott B. Cuijpers, Pim Ziegelstein, Roy C. Gilbody, Simon Fischer, Felix H. Fan, Suiqiong Sun, Ying He, Chen Krishnan, Ankur Neupane, Dipika Bhandari, Parash Mani Negeri, Zelalem Riehm, Kira E. Rice, Danielle B. Azar, Marleine Yan, Xin Wei Imran, Mahrukh Chiovitti, Matthew J. Boruff, Jill T. McMillan, Dean Kloda, Lorie A. Wiese, Birgitt Williams, Lana J. Wong, Lai Yi Benedetti, Andrea Thombs, Brett D. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
HADS Major Depression Screening Accuracy |
topic |
HADS Major Depression Screening Accuracy |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred. Fil: Yin Wu. Lady Davis Institute For Medical Research; Canadá. McGill University; Canadá Fil: Levis, Brooke. Lady Davis Institute For Medical Research; Canadá. Keele University; Reino Unido Fil: Daray, Federico Manuel. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Farmacologia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Ioannidis, John P. A.. University of Stanford; Estados Unidos Fil: Patten, Scott B.. University of Calgary; Canadá Fil: Cuijpers, Pim. Vrije Universiteit Amsterdam; Países Bajos Fil: Ziegelstein, Roy C.. University Johns Hopkins; Estados Unidos Fil: Gilbody, Simon. University of York; Reino Unido Fil: Fischer, Felix H.. Universität zu Berlin; Alemania Fil: Fan, Suiqiong. Jewish General Hospital; Canadá Fil: Sun, Ying. Jewish General Hospital; Canadá Fil: He, Chen. Jewish General Hospital; Canadá Fil: Krishnan, Ankur. Jewish General Hospital; Canadá Fil: Neupane, Dipika. Jewish General Hospital; Canadá Fil: Bhandari, Parash Mani. Jewish General Hospital; Canadá Fil: Negeri, Zelalem. Jewish General Hospital; Canadá Fil: Riehm, Kira E.. Jewish General Hospital; Canadá Fil: Rice, Danielle B.. Jewish General Hospital; Canadá Fil: Azar, Marleine. Jewish General Hospital; Canadá Fil: Yan, Xin Wei. Jewish General Hospital; Canadá Fil: Imran, Mahrukh. Jewish General Hospital; Canadá Fil: Chiovitti, Matthew J.. Jewish General Hospital; Canadá Fil: Boruff, Jill T.. McGill University; Canadá Fil: McMillan, Dean. University of York; Reino Unido Fil: Kloda, Lorie A.. Concordia University; Canadá Fil: Wiese, Birgitt. Hannover Medical School; Alemania Fil: Williams, Lana J.. Universidad Complutense de Madrid; España Fil: Wong, Lai Yi. Kwai Chung Hospital; China Fil: Benedetti, Andrea. McGill University; Canadá Fil: Thombs, Brett D.. McGill University; Canadá. Jewish General Hospital; Canadá |
description |
The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data metaanalysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from −0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02–0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADSD for detecting major depression. In most settings, the shorter HADS-D would be preferred. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/239210 Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; et al.; Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis; American Psychological Association; Psychological Assessment; 35; 2; 6-2024; 94-114 1939-134X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/239210 |
identifier_str_mv |
Yin Wu; Levis, Brooke; Daray, Federico Manuel; Ioannidis, John P. A.; Patten, Scott B.; et al.; Comparison of the Accuracy of the 7-Item HADS Depression Subscale and 14-Item Total HADS for Screening for Major Depression: A Systematic Review and Individual Participant Data Meta-Analysis; American Psychological Association; Psychological Assessment; 35; 2; 6-2024; 94-114 1939-134X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1037/pas0001181 info:eu-repo/semantics/altIdentifier/url/https://psycnet.apa.org/doiLanding?doi=10.1037%2Fpas0001181 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Psychological Association |
publisher.none.fl_str_mv |
American Psychological Association |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613201023467520 |
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13.070432 |