An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group

Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage agg...

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Autores: Boedhoe, Premika, Heymans, Martijn W., Schmaal, Lianne|||0000-0001-9822-048X, Abe, Yoshinari|||0000-0001-8348-0801, Alonso, Pino|||0000-0002-5779-9111, Ameis, Stephanie H.|||0000-0002-7282-6077, Anticevic, Alan, Arnold, Paul D.|||0000-0003-2496-4624, Batistuzzo, Marcelo C.|||0000-0003-1347-8241, Benedetti, Francesco|||0000-0003-4949-856X, Beucke, Jan C., Bollettini, Irene|||0000-0003-3666-3538, Bose, Anushree|||0000-0002-3394-1646, Brem, Silvia, Calvo, Anna, Calvo-Escalona, Rosa|||0000-0001-9572-4228, Cheng, Yuqi, Cho, Kang Ik K., Ciullo, Valentina|||0000-0002-4095-7806, Dallaspezia, Sara, Denys, Damiaan|||0000-0002-3191-3844, Feusner, Jamie D., Fitzgerald, Kate D., Fouche, Jean-Paul|||0000-0002-0830-2324, Fridgeirsson, Egill A., Gruner, Patricia, Hanna, Gregory L.|||0000-0002-0742-6990, Hibar, Derrek P., Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim|||0000-0001-8757-3124, Jahanshad, Neda|||0000-0003-4401-8950, James, Anthony|||0000-0002-2742-8328, Kathmann, Norbert|||0000-0002-1348-7060, Kaufmann, Christian, Koch, Kathrin, Kwon, Jun Soo|||0000-0002-1060-1462, Lázaro, Luisa|||0000-0002-8425-5750, Lochner, Christine|||0000-0002-4766-3704, Marsh, Rachel|||0000-0003-2439-6305, Martínez-Zalacaín, Ignacio|||0000-0002-4036-0284, Mataix-Cols, David|||0000-0002-4545-0924, Menchón Magriñá, José Manuel|||0000-0002-6231-6524, Minuzzi, Luciano, Morer, Astrid, Nakamae, Takashi|||0000-0003-4265-198X, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Nishida, Seiji, Nurmi, Erika L.|||0000-0003-4893-8957, O'Neill, Joseph, Piacentini, John|||0000-0003-4195-7194, Piras, Fabrizio|||0000-0003-3566-5494, Piras, Federica|||0000-0002-9546-7038, Reddy, Y. C. Janardhan, Reess, Tim J., Sakai, Yuki|||0000-0003-2475-8548, Sato, Joao R., Simpson, H. Blair, Soreni, Noam, Soriano-Mas, Carles|||0000-0003-4574-6597, Spalletta, Gianfranco|||0000-0002-7432-4249, Stevens, Michael C.|||0000-0002-3799-5465, Szeszko, Philip R., Tolin, David F., van Wingen, Guido|||0000-0003-3076-5891, Venkatasubramanian, Ganesan|||0000-0002-0949-898X, Walitza, Susanne|||0000-0002-8161-8683, Wang, Zhen|||0000-0003-4319-5314, Yun, Je-Yeon|||0000-0002-5531-2410, Thompson, Paul M.|||0000-0002-4720-8867, Stein, Dan J.|||0000-0001-7218-7810, van den Heuvel, Odile A.|||0000-0002-9804-7653, Twisk, Jos W. R.
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:226321
Acceso en línea:https://ddd.uab.cat/record/226321
https://dx.doi.org/urn:doi:10.3389/fninf.2018.00102
Access Level:acceso abierto
Palabra clave:Neuroimaging
MRI
IPD meta-analysis
Mega-analysis
Linear mixed-effect models
id ES_cddd983906ee31a311a26e68da997af6
oai_identifier_str oai:ddd.uab.cat:226321
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
title An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
spellingShingle An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
Boedhoe, Premika
Neuroimaging
MRI
IPD meta-analysis
Mega-analysis
Linear mixed-effect models
title_short An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
title_full An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
title_fullStr An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
title_full_unstemmed An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
title_sort An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working group
dc.creator.none.fl_str_mv Boedhoe, Premika
Heymans, Martijn W.
Schmaal, Lianne|||0000-0001-9822-048X
Abe, Yoshinari|||0000-0001-8348-0801
Alonso, Pino|||0000-0002-5779-9111
Ameis, Stephanie H.|||0000-0002-7282-6077
Anticevic, Alan
Arnold, Paul D.|||0000-0003-2496-4624
Batistuzzo, Marcelo C.|||0000-0003-1347-8241
Benedetti, Francesco|||0000-0003-4949-856X
Beucke, Jan C.
Bollettini, Irene|||0000-0003-3666-3538
Bose, Anushree|||0000-0002-3394-1646
Brem, Silvia
Calvo, Anna
Calvo-Escalona, Rosa|||0000-0001-9572-4228
Cheng, Yuqi
Cho, Kang Ik K.
Ciullo, Valentina|||0000-0002-4095-7806
Dallaspezia, Sara
Denys, Damiaan|||0000-0002-3191-3844
Feusner, Jamie D.
Fitzgerald, Kate D.
Fouche, Jean-Paul|||0000-0002-0830-2324
Fridgeirsson, Egill A.
Gruner, Patricia
Hanna, Gregory L.|||0000-0002-0742-6990
Hibar, Derrek P.
Hoexter, Marcelo Q.
Hu, Hao
Huyser, Chaim|||0000-0001-8757-3124
Jahanshad, Neda|||0000-0003-4401-8950
James, Anthony|||0000-0002-2742-8328
Kathmann, Norbert|||0000-0002-1348-7060
Kaufmann, Christian
Koch, Kathrin
Kwon, Jun Soo|||0000-0002-1060-1462
Lázaro, Luisa|||0000-0002-8425-5750
Lochner, Christine|||0000-0002-4766-3704
Marsh, Rachel|||0000-0003-2439-6305
Martínez-Zalacaín, Ignacio|||0000-0002-4036-0284
Mataix-Cols, David|||0000-0002-4545-0924
Menchón Magriñá, José Manuel|||0000-0002-6231-6524
Minuzzi, Luciano
Morer, Astrid
Nakamae, Takashi|||0000-0003-4265-198X
Nakao, Tomohiro
Narayanaswamy, Janardhanan C.
Nishida, Seiji
Nurmi, Erika L.|||0000-0003-4893-8957
O'Neill, Joseph
Piacentini, John|||0000-0003-4195-7194
Piras, Fabrizio|||0000-0003-3566-5494
Piras, Federica|||0000-0002-9546-7038
Reddy, Y. C. Janardhan
Reess, Tim J.
Sakai, Yuki|||0000-0003-2475-8548
Sato, Joao R.
Simpson, H. Blair
Soreni, Noam
Soriano-Mas, Carles|||0000-0003-4574-6597
Spalletta, Gianfranco|||0000-0002-7432-4249
Stevens, Michael C.|||0000-0002-3799-5465
Szeszko, Philip R.
Tolin, David F.
van Wingen, Guido|||0000-0003-3076-5891
Venkatasubramanian, Ganesan|||0000-0002-0949-898X
Walitza, Susanne|||0000-0002-8161-8683
Wang, Zhen|||0000-0003-4319-5314
Yun, Je-Yeon|||0000-0002-5531-2410
Thompson, Paul M.|||0000-0002-4720-8867
Stein, Dan J.|||0000-0001-7218-7810
van den Heuvel, Odile A.|||0000-0002-9804-7653
Twisk, Jos W. R.
author Boedhoe, Premika
author_facet Boedhoe, Premika
Heymans, Martijn W.
Schmaal, Lianne|||0000-0001-9822-048X
Abe, Yoshinari|||0000-0001-8348-0801
Alonso, Pino|||0000-0002-5779-9111
Ameis, Stephanie H.|||0000-0002-7282-6077
Anticevic, Alan
Arnold, Paul D.|||0000-0003-2496-4624
Batistuzzo, Marcelo C.|||0000-0003-1347-8241
Benedetti, Francesco|||0000-0003-4949-856X
Beucke, Jan C.
Bollettini, Irene|||0000-0003-3666-3538
Bose, Anushree|||0000-0002-3394-1646
Brem, Silvia
Calvo, Anna
Calvo-Escalona, Rosa|||0000-0001-9572-4228
Cheng, Yuqi
Cho, Kang Ik K.
Ciullo, Valentina|||0000-0002-4095-7806
Dallaspezia, Sara
Denys, Damiaan|||0000-0002-3191-3844
Feusner, Jamie D.
Fitzgerald, Kate D.
Fouche, Jean-Paul|||0000-0002-0830-2324
Fridgeirsson, Egill A.
Gruner, Patricia
Hanna, Gregory L.|||0000-0002-0742-6990
Hibar, Derrek P.
Hoexter, Marcelo Q.
Hu, Hao
Huyser, Chaim|||0000-0001-8757-3124
Jahanshad, Neda|||0000-0003-4401-8950
James, Anthony|||0000-0002-2742-8328
Kathmann, Norbert|||0000-0002-1348-7060
Kaufmann, Christian
Koch, Kathrin
Kwon, Jun Soo|||0000-0002-1060-1462
Lázaro, Luisa|||0000-0002-8425-5750
Lochner, Christine|||0000-0002-4766-3704
Marsh, Rachel|||0000-0003-2439-6305
Martínez-Zalacaín, Ignacio|||0000-0002-4036-0284
Mataix-Cols, David|||0000-0002-4545-0924
Menchón Magriñá, José Manuel|||0000-0002-6231-6524
Minuzzi, Luciano
Morer, Astrid
Nakamae, Takashi|||0000-0003-4265-198X
Nakao, Tomohiro
Narayanaswamy, Janardhanan C.
Nishida, Seiji
Nurmi, Erika L.|||0000-0003-4893-8957
O'Neill, Joseph
Piacentini, John|||0000-0003-4195-7194
Piras, Fabrizio|||0000-0003-3566-5494
Piras, Federica|||0000-0002-9546-7038
Reddy, Y. C. Janardhan
Reess, Tim J.
Sakai, Yuki|||0000-0003-2475-8548
Sato, Joao R.
Simpson, H. Blair
Soreni, Noam
Soriano-Mas, Carles|||0000-0003-4574-6597
Spalletta, Gianfranco|||0000-0002-7432-4249
Stevens, Michael C.|||0000-0002-3799-5465
Szeszko, Philip R.
Tolin, David F.
van Wingen, Guido|||0000-0003-3076-5891
Venkatasubramanian, Ganesan|||0000-0002-0949-898X
Walitza, Susanne|||0000-0002-8161-8683
Wang, Zhen|||0000-0003-4319-5314
Yun, Je-Yeon|||0000-0002-5531-2410
Thompson, Paul M.|||0000-0002-4720-8867
Stein, Dan J.|||0000-0001-7218-7810
van den Heuvel, Odile A.|||0000-0002-9804-7653
Twisk, Jos W. R.
author_role author
author2 Heymans, Martijn W.
Schmaal, Lianne|||0000-0001-9822-048X
Abe, Yoshinari|||0000-0001-8348-0801
Alonso, Pino|||0000-0002-5779-9111
Ameis, Stephanie H.|||0000-0002-7282-6077
Anticevic, Alan
Arnold, Paul D.|||0000-0003-2496-4624
Batistuzzo, Marcelo C.|||0000-0003-1347-8241
Benedetti, Francesco|||0000-0003-4949-856X
Beucke, Jan C.
Bollettini, Irene|||0000-0003-3666-3538
Bose, Anushree|||0000-0002-3394-1646
Brem, Silvia
Calvo, Anna
Calvo-Escalona, Rosa|||0000-0001-9572-4228
Cheng, Yuqi
Cho, Kang Ik K.
Ciullo, Valentina|||0000-0002-4095-7806
Dallaspezia, Sara
Denys, Damiaan|||0000-0002-3191-3844
Feusner, Jamie D.
Fitzgerald, Kate D.
Fouche, Jean-Paul|||0000-0002-0830-2324
Fridgeirsson, Egill A.
Gruner, Patricia
Hanna, Gregory L.|||0000-0002-0742-6990
Hibar, Derrek P.
Hoexter, Marcelo Q.
Hu, Hao
Huyser, Chaim|||0000-0001-8757-3124
Jahanshad, Neda|||0000-0003-4401-8950
James, Anthony|||0000-0002-2742-8328
Kathmann, Norbert|||0000-0002-1348-7060
Kaufmann, Christian
Koch, Kathrin
Kwon, Jun Soo|||0000-0002-1060-1462
Lázaro, Luisa|||0000-0002-8425-5750
Lochner, Christine|||0000-0002-4766-3704
Marsh, Rachel|||0000-0003-2439-6305
Martínez-Zalacaín, Ignacio|||0000-0002-4036-0284
Mataix-Cols, David|||0000-0002-4545-0924
Menchón Magriñá, José Manuel|||0000-0002-6231-6524
Minuzzi, Luciano
Morer, Astrid
Nakamae, Takashi|||0000-0003-4265-198X
Nakao, Tomohiro
Narayanaswamy, Janardhanan C.
Nishida, Seiji
Nurmi, Erika L.|||0000-0003-4893-8957
O'Neill, Joseph
Piacentini, John|||0000-0003-4195-7194
Piras, Fabrizio|||0000-0003-3566-5494
Piras, Federica|||0000-0002-9546-7038
Reddy, Y. C. Janardhan
Reess, Tim J.
Sakai, Yuki|||0000-0003-2475-8548
Sato, Joao R.
Simpson, H. Blair
Soreni, Noam
Soriano-Mas, Carles|||0000-0003-4574-6597
Spalletta, Gianfranco|||0000-0002-7432-4249
Stevens, Michael C.|||0000-0002-3799-5465
Szeszko, Philip R.
Tolin, David F.
van Wingen, Guido|||0000-0003-3076-5891
Venkatasubramanian, Ganesan|||0000-0002-0949-898X
Walitza, Susanne|||0000-0002-8161-8683
Wang, Zhen|||0000-0003-4319-5314
Yun, Je-Yeon|||0000-0002-5531-2410
Thompson, Paul M.|||0000-0002-4720-8867
Stein, Dan J.|||0000-0001-7218-7810
van den Heuvel, Odile A.|||0000-0002-9804-7653
Twisk, Jos W. R.
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dc.subject.none.fl_str_mv Neuroimaging
MRI
IPD meta-analysis
Mega-analysis
Linear mixed-effect models
topic Neuroimaging
MRI
IPD meta-analysis
Mega-analysis
Linear mixed-effect models
description Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data
publishDate 2019
dc.date.none.fl_str_mv 2
2019-01-01
2019
2019-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/226321
https://dx.doi.org/urn:doi:10.3389/fninf.2018.00102
url https://ddd.uab.cat/record/226321
https://dx.doi.org/urn:doi:10.3389/fninf.2018.00102
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1247
Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2014/SGR-489
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling An empirical comparison of meta- and mega-analysis with data from the ENIGMA obsessive-compulsive disorder working groupBoedhoe, PremikaHeymans, Martijn W.Schmaal, Lianne|||0000-0001-9822-048XAbe, Yoshinari|||0000-0001-8348-0801Alonso, Pino|||0000-0002-5779-9111Ameis, Stephanie H.|||0000-0002-7282-6077Anticevic, AlanArnold, Paul D.|||0000-0003-2496-4624Batistuzzo, Marcelo C.|||0000-0003-1347-8241Benedetti, Francesco|||0000-0003-4949-856XBeucke, Jan C.Bollettini, Irene|||0000-0003-3666-3538Bose, Anushree|||0000-0002-3394-1646Brem, SilviaCalvo, AnnaCalvo-Escalona, Rosa|||0000-0001-9572-4228Cheng, YuqiCho, Kang Ik K.Ciullo, Valentina|||0000-0002-4095-7806Dallaspezia, SaraDenys, Damiaan|||0000-0002-3191-3844Feusner, Jamie D.Fitzgerald, Kate D.Fouche, Jean-Paul|||0000-0002-0830-2324Fridgeirsson, Egill A.Gruner, PatriciaHanna, Gregory L.|||0000-0002-0742-6990Hibar, Derrek P.Hoexter, Marcelo Q.Hu, HaoHuyser, Chaim|||0000-0001-8757-3124Jahanshad, Neda|||0000-0003-4401-8950James, Anthony|||0000-0002-2742-8328Kathmann, Norbert|||0000-0002-1348-7060Kaufmann, ChristianKoch, KathrinKwon, Jun Soo|||0000-0002-1060-1462Lázaro, Luisa|||0000-0002-8425-5750Lochner, Christine|||0000-0002-4766-3704Marsh, Rachel|||0000-0003-2439-6305Martínez-Zalacaín, Ignacio|||0000-0002-4036-0284Mataix-Cols, David|||0000-0002-4545-0924Menchón Magriñá, José Manuel|||0000-0002-6231-6524Minuzzi, LucianoMorer, AstridNakamae, Takashi|||0000-0003-4265-198XNakao, TomohiroNarayanaswamy, Janardhanan C.Nishida, SeijiNurmi, Erika L.|||0000-0003-4893-8957O'Neill, JosephPiacentini, John|||0000-0003-4195-7194Piras, Fabrizio|||0000-0003-3566-5494Piras, Federica|||0000-0002-9546-7038Reddy, Y. C. JanardhanReess, Tim J.Sakai, Yuki|||0000-0003-2475-8548Sato, Joao R.Simpson, H. BlairSoreni, NoamSoriano-Mas, Carles|||0000-0003-4574-6597Spalletta, Gianfranco|||0000-0002-7432-4249Stevens, Michael C.|||0000-0002-3799-5465Szeszko, Philip R.Tolin, David F.van Wingen, Guido|||0000-0003-3076-5891Venkatasubramanian, Ganesan|||0000-0002-0949-898XWalitza, Susanne|||0000-0002-8161-8683Wang, Zhen|||0000-0003-4319-5314Yun, Je-Yeon|||0000-0002-5531-2410Thompson, Paul M.|||0000-0002-4720-8867Stein, Dan J.|||0000-0001-7218-7810van den Heuvel, Odile A.|||0000-0002-9804-7653Twisk, Jos W. R.NeuroimagingMRIIPD meta-analysisMega-analysisLinear mixed-effect modelsObjective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data 22019-01-0120192019-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/226321https://dx.doi.org/urn:doi:10.3389/fninf.2018.00102reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2017/SGR-1247Agència de Gestió d'Ajuts Universitaris i de Recerca https://doi.org/10.13039/501100003030 2014/SGR-489open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2263212026-06-06T12:50:31Z
score 15.298079