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Pregled bibliografske jedinice broj: 1178844

Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

(DEPRESsion Screening Data (DEPRESSD) Collaboration) Bhandari, Parash Mani; Levis, Brooke; Neupane, Dipika; Patten, Scott B.; Shrier, Ian; Thombs, Brett D.; Benedetti, Andrea; Sun, Ying; He, Chen; Rice, Danielle B. et al.
Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data // Journal of Clinical Epidemiology, 137 (2021), 137-147 doi:10.1016/j.jclinepi.2021.03.031 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1178844 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data

Autori
Bhandari, Parash Mani ; Levis, Brooke ; Neupane, Dipika ; Patten, Scott B. ; Shrier, Ian ; Thombs, Brett D. ; Benedetti, Andrea ; Sun, Ying ; He, Chen ; Rice, Danielle B. ; Krishnan, Ankur ; Wu, Yin ; Azar, Marleine ; Sanchez, Tatiana A. ; Chiovitti, Matthew J. ; Saadat, Nazanin ; Riehm, Kira E. ; Imran, Mahrukh ; Negeri, Zelalem ; Boruff, Jill T. ; Cuijpers, Pim ; Gilbody, Simon ; Ioannidis, John P.A. ; Kloda, Lorie A. ; Ziegelstein, Roy C. ; Comeau, Liane ; Mitchell, Nicholas D. ; Tonelli, Marcello ; Vigod, Simone N. ; Aceti, Franca ; Alvarado, Rubén ; Alvarado-Esquivel, Cosme ; Bakare, Muideen O. ; Barnes, Jacqueline ; Bavle, Amar D. ; Beck, Cheryl Tatano ; Bindt, Carola ; Boyce, Philip M. ; Bunevicius, Adomas ; Castro e Couto, Tiago ; Chaudron, Linda H. ; Correa, Humberto ; de Figueiredo, Felipe Pinheiro ; Eapen, Valsamma ; Favez, Nicolas ; Felice, Ethel ; Fernandes, Michelle ; Figueiredo, Barbara ; Fisher, Jane R.W. ; Garcia- Esteve, Lluïsa ; Giardinelli, Lisa ; Helle, Nadine ; Howard, Louise M. ; Khalifa, Dina Sami ; Kohlhoff, Jane ; Kozinszky, Zoltán ; Kusminskas, Laima ; Lelli, Lorenzo ; Leonardou, Angeliki A. ; Maes, Michael ; Meuti, Valentina ; Radoš, Sandra Nakić ; García, Purificación Navarro ; Nishi, Daisuke ; Luwa E-Andjafono, Daniel Okitundu ; Pawlby, Susan J. ; Quispel, Chantal ; Robertson-Blackmore, Emma ; Rochat, Tamsen J. ; Rowe, Heather J. ; Sharp, Deborah J. ; Siu, Bonnie W.M. ; Skalkidou, Alkistis ; Stein, Alan ; Stewart, Robert C. ; Su, Kuan-Pin ; Sundström-Poromaa, Inger ; Tadinac, Meri ; Tandon, S. Darius ; Tendais, Iva ; Thiagayson, Pavaani ; Töreki, Annamária ; Torres-Giménez, Anna ; Tran, Thach D. ; Trevillion, Kylee ; Turner, Katherine ; Vega-Dienstmaier, Johann M. ; Wynter, Karen ; Yonkers, Kimberly A.

Kolaboracija
DEPRESsion Screening Data (DEPRESSD) Collaboration

Izvornik
Journal of Clinical Epidemiology (0895-4356) 137 (2021); 137-147

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Optimal cutoff ; Accuracy estimates ; Bias ; Cherry-picking ; Data-driven methods Depression

Sažetak
Objective To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. Study design and setting A total of 1, 000 samples of sample size 100, 200, 500 and 1, 000 each were randomly drawn to simulate studies of different sample sizes from a database (n = 13, 255) synthesized to assess Edinburgh Postnatal Depression Scale (EPDS) screening accuracy. Optimal cutoffs were selected by maximizing Youden's J (sensitivity+specificity–1). Optimal cutoffs and accuracy estimates in simulated samples were compared to population values. Results Optimal cutoffs in simulated samples ranged from ≥ 5 to ≥ 17 for n = 100, ≥ 6 to ≥ 16 for n = 200, ≥ 6 to ≥ 14 for n = 500, and ≥ 8 to ≥ 13 for n = 1, 000. Percentage of simulated samples identifying the population optimal cutoff (≥ 11) was 30% for n = 100, 35% for n = 200, 53% for n = 500, and 71% for n = 1, 000. Mean overestimation of sensitivity and underestimation of specificity were 6.5 percentage point (pp) and -1.3 pp for n = 100, 4.2 pp and -1.1 pp for n = 200, 1.8 pp and -1.0 pp for n = 500, and 1.4 pp and -1.0 pp for n = 1, 000. Conclusions Small accuracy studies may identify inaccurate optimal cutoff and overstate accuracy estimates with data-driven methods.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija



POVEZANOST RADA

Profili:

Avatar Url Meri Tadinac (autor)

Poveznice na cjeloviti tekst rada:

doi www.jclinepi.com

Citiraj ovu publikaciju:

(DEPRESsion Screening Data (DEPRESSD) Collaboration) Bhandari, Parash Mani; Levis, Brooke; Neupane, Dipika; Patten, Scott B.; Shrier, Ian; Thombs, Brett D.; Benedetti, Andrea; Sun, Ying; He, Chen; Rice, Danielle B. et al.
Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data // Journal of Clinical Epidemiology, 137 (2021), 137-147 doi:10.1016/j.jclinepi.2021.03.031 (međunarodna recenzija, članak, znanstveni)
(DEPRESsion Screening Data (DEPRESSD) Collaboration) (DEPRESsion Screening Data (DEPRESSD) Collaboration) Bhandari, P., Levis, B., Neupane, D., Patten, S., Shrier, I., Thombs, B., Benedetti, A., Sun, Y., He, C. & Rice, D. (2021) Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data. Journal of Clinical Epidemiology, 137, 137-147 doi:10.1016/j.jclinepi.2021.03.031.
@article{article, author = {Bhandari, Parash Mani and Levis, Brooke and Neupane, Dipika and Patten, Scott B. and Shrier, Ian and Thombs, Brett D. and Benedetti, Andrea and Sun, Ying and He, Chen and Rice, Danielle B. and Krishnan, Ankur and Wu, Yin and Azar, Marleine and Sanchez, Tatiana A. and Chiovitti, Matthew J. and Saadat, Nazanin and Riehm, Kira E. and Imran, Mahrukh and Negeri, Zelalem and Boruff, Jill T. and Cuijpers, Pim and Gilbody, Simon and Ioannidis, John P.A. and Kloda, Lorie A. and Ziegelstein, Roy C. and Comeau, Liane and Mitchell, Nicholas D. and Tonelli, Marcello and Vigod, Simone N. and Aceti, Franca and Alvarado, Rub\'{e}n and Alvarado-Esquivel, Cosme and Bakare, Muideen O. and Barnes, Jacqueline and Bavle, Amar D. and Beck, Cheryl Tatano and Bindt, Carola and Boyce, Philip M. and Bunevicius, Adomas and Castro e Couto, Tiago and Chaudron, Linda H. and Correa, Humberto and de Figueiredo, Felipe Pinheiro and Eapen, Valsamma and Favez, Nicolas and Felice, Ethel and Fernandes, Michelle and Figueiredo, Barbara and Fisher, Jane R.W. and Garcia- Esteve, Llu\"{\i}sa and Giardinelli, Lisa and Helle, Nadine and Howard, Louise M. and Khalifa, Dina Sami and Kohlhoff, Jane and Kozinszky, Zolt\'{a}n and Kusminskas, Laima and Lelli, Lorenzo and Leonardou, Angeliki A. and Maes, Michael and Meuti, Valentina and Rado\v{s}, Sandra Naki\'{c} and Garc\'{\i}a, Purificaci\'{o}n Navarro and Nishi, Daisuke and Luwa E-Andjafono, Daniel Okitundu and Pawlby, Susan J. and Quispel, Chantal and Robertson-Blackmore, Emma and Rochat, Tamsen J. and Rowe, Heather J. and Sharp, Deborah J. and Siu, Bonnie W.M. and Skalkidou, Alkistis and Stein, Alan and Stewart, Robert C. and Su, Kuan-Pin and Sundstr\"{o}m-Poromaa, Inger and Tadinac, Meri and Tandon, S. Darius and Tendais, Iva and Thiagayson, Pavaani and T\"{o}reki, Annam\'{a}ria and Torres-Gim\'{e}nez, Anna and Tran, Thach D. and Trevillion, Kylee and Turner, Katherine and Vega-Dienstmaier, Johann M. and Wynter, Karen and Yonkers, Kimberly A.}, year = {2021}, pages = {137-147}, DOI = {10.1016/j.jclinepi.2021.03.031}, keywords = {Optimal cutoff, Accuracy estimates, Bias, Cherry-picking, Data-driven methods Depression}, journal = {Journal of Clinical Epidemiology}, doi = {10.1016/j.jclinepi.2021.03.031}, volume = {137}, issn = {0895-4356}, title = {Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data}, keyword = {Optimal cutoff, Accuracy estimates, Bias, Cherry-picking, Data-driven methods Depression} }
@article{article, author = {Bhandari, Parash Mani and Levis, Brooke and Neupane, Dipika and Patten, Scott B. and Shrier, Ian and Thombs, Brett D. and Benedetti, Andrea and Sun, Ying and He, Chen and Rice, Danielle B. and Krishnan, Ankur and Wu, Yin and Azar, Marleine and Sanchez, Tatiana A. and Chiovitti, Matthew J. and Saadat, Nazanin and Riehm, Kira E. and Imran, Mahrukh and Negeri, Zelalem and Boruff, Jill T. and Cuijpers, Pim and Gilbody, Simon and Ioannidis, John P.A. and Kloda, Lorie A. and Ziegelstein, Roy C. and Comeau, Liane and Mitchell, Nicholas D. and Tonelli, Marcello and Vigod, Simone N. and Aceti, Franca and Alvarado, Rub\'{e}n and Alvarado-Esquivel, Cosme and Bakare, Muideen O. and Barnes, Jacqueline and Bavle, Amar D. and Beck, Cheryl Tatano and Bindt, Carola and Boyce, Philip M. and Bunevicius, Adomas and Castro e Couto, Tiago and Chaudron, Linda H. and Correa, Humberto and de Figueiredo, Felipe Pinheiro and Eapen, Valsamma and Favez, Nicolas and Felice, Ethel and Fernandes, Michelle and Figueiredo, Barbara and Fisher, Jane R.W. and Garcia- Esteve, Llu\"{\i}sa and Giardinelli, Lisa and Helle, Nadine and Howard, Louise M. and Khalifa, Dina Sami and Kohlhoff, Jane and Kozinszky, Zolt\'{a}n and Kusminskas, Laima and Lelli, Lorenzo and Leonardou, Angeliki A. and Maes, Michael and Meuti, Valentina and Rado\v{s}, Sandra Naki\'{c} and Garc\'{\i}a, Purificaci\'{o}n Navarro and Nishi, Daisuke and Luwa E-Andjafono, Daniel Okitundu and Pawlby, Susan J. and Quispel, Chantal and Robertson-Blackmore, Emma and Rochat, Tamsen J. and Rowe, Heather J. and Sharp, Deborah J. and Siu, Bonnie W.M. and Skalkidou, Alkistis and Stein, Alan and Stewart, Robert C. and Su, Kuan-Pin and Sundstr\"{o}m-Poromaa, Inger and Tadinac, Meri and Tandon, S. Darius and Tendais, Iva and Thiagayson, Pavaani and T\"{o}reki, Annam\'{a}ria and Torres-Gim\'{e}nez, Anna and Tran, Thach D. and Trevillion, Kylee and Turner, Katherine and Vega-Dienstmaier, Johann M. and Wynter, Karen and Yonkers, Kimberly A.}, year = {2021}, pages = {137-147}, DOI = {10.1016/j.jclinepi.2021.03.031}, keywords = {Optimal cutoff, Accuracy estimates, Bias, Cherry-picking, Data-driven methods Depression}, journal = {Journal of Clinical Epidemiology}, doi = {10.1016/j.jclinepi.2021.03.031}, volume = {137}, issn = {0895-4356}, title = {Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data}, keyword = {Optimal cutoff, Accuracy estimates, Bias, Cherry-picking, Data-driven methods Depression} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE

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