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1. Soil priorities in British Columbia, Canada

Author

Cornelis, J.-T., Bittman, S., Black, A., Chanway, C., Grayston, S., Hannam, K., Kabzems, R., Kranabetter, M., Krzic, M., Lavkulich, L., Prescott, C., Preston, M.D., Sanborn, P., Simard, S., and Smukler, S.

Published
2022
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4. 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

Author

Wu, Y. Levis, B. Daray, F.M. Ioannidis, J.P.A. Patten, S.B. Cuijpers, P. Ziegelstein, R.C. Gilbody, S. Fischer, F.H. Fan, S. Sun, Y. He, C. Krishnan, A. Neupane, D. Bhandari, P.M. Negeri, Z. Riehm, K.E. Rice, D.B. Azar, M. Yan, X.W. Imran, M. Chiovitti, M.J. Boruff, J.T. McMillan, D. Kloda, L.A. Markham, S. Henry, M. Ismail, Z. Loiselle, C.G. Mitchell, N.D. Al-Adawi, S. Beck, K.R. Beraldi, A. Bernstein, C.N. Boye, B. Büel-Drabe, N. Bunevicius, A. Can, C. Carter, G. Chen, C.-K. Cheung, G. Clover, K. Conroy, R.M. Costa-Requena, G. Cukor, D. Dabscheck, E. De Souza, J. Downing, M. Feinstein, A. Ferentinos, P.P. Flint, A.J. Gallagher, P. Gandy, M. Grassi, L. Härter, M. Hernando, A. Jackson, M.L. Jenewein, J. Jetté, N. Julião, M. Kjærgaard, M. Köhler, S. König, H.-H. Krishna, L.K.R. Lee, Y. Löbner, M. Loosman, W.L. Love, A.W. Löwe, B. Malt, U.F. Marrie, R.A. Massardo, L. Matsuoka, Y. Mehnert, A. Michopoulos, I. Misery, L. Nelson, C.J. Ng, C.G. O’Donnell, M.L. O’Rourke, S.J. Öztürk, A. Pabst, A. Pasco, J.A. Peceliuniene, J. Pintor, L. Ponsford, J.L. Pulido, F. Quinn, T.J. Reme, S.E. Reuter, K. Riedel-Heller, S.G. Rooney, A.G. Sánchez-González, R. Saracino, R.M. Schellekens, M.P.J. Scherer, M. Schwarzbold, M.L. Cankorur, V.S. Sharpe, L. Sharpe, M. Simard, S. Singer, S. Stafford, L. Stone, J. Strobel, N.A. Sultan, S. Teixeira, A.L. Tiringer, I. Turner, A. Walker, J. Walterfang, M. Wang, L.-J. Weyerer, S.B. White, J. Wiese, B. Williams, L.J. Wong, L.-Y. Benedetti, A. Thombs, B.D. and Wu, Y. Levis, B. Daray, F.M. Ioannidis, J.P.A. Patten, S.B. Cuijpers, P. Ziegelstein, R.C. Gilbody, S. Fischer, F.H. Fan, S. Sun, Y. He, C. Krishnan, A. Neupane, D. Bhandari, P.M. Negeri, Z. Riehm, K.E. Rice, D.B. Azar, M. Yan, X.W. Imran, M. Chiovitti, M.J. Boruff, J.T. McMillan, D. Kloda, L.A. Markham, S. Henry, M. Ismail, Z. Loiselle, C.G. Mitchell, N.D. Al-Adawi, S. Beck, K.R. Beraldi, A. Bernstein, C.N. Boye, B. Büel-Drabe, N. Bunevicius, A. Can, C. Carter, G. Chen, C.-K. Cheung, G. Clover, K. Conroy, R.M. Costa-Requena, G. Cukor, D. Dabscheck, E. De Souza, J. Downing, M. Feinstein, A. Ferentinos, P.P. Flint, A.J. Gallagher, P. Gandy, M. Grassi, L. Härter, M. Hernando, A. Jackson, M.L. Jenewein, J. Jetté, N. Julião, M. Kjærgaard, M. Köhler, S. König, H.-H. Krishna, L.K.R. Lee, Y. Löbner, M. Loosman, W.L. Love, A.W. Löwe, B. Malt, U.F. Marrie, R.A. Massardo, L. Matsuoka, Y. Mehnert, A. Michopoulos, I. Misery, L. Nelson, C.J. Ng, C.G. O’Donnell, M.L. O’Rourke, S.J. Öztürk, A. Pabst, A. Pasco, J.A. Peceliuniene, J. Pintor, L. Ponsford, J.L. Pulido, F. Quinn, T.J. Reme, S.E. Reuter, K. Riedel-Heller, S.G. Rooney, A.G. Sánchez-González, R. Saracino, R.M. Schellekens, M.P.J. Scherer, M. Schwarzbold, M.L. Cankorur, V.S. Sharpe, L. Sharpe, M. Simard, S. Singer, S. Stafford, L. Stone, J. Strobel, N.A. Sultan, S. Teixeira, A.L. Tiringer, I. Turner, A. Walker, J. Walterfang, M. Wang, L.-J. Weyerer, S.B. White, J. Wiese, B. Williams, L.J. Wong, L.-Y. Benedetti, A. Thombs, B.D.

Abstract

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 meta-analysis 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 HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. © 2023 American Psychological Association

Published
2023

5. 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

Author

Wu, Y, Levis, B, Daray, FM, Ioannidis, JPA, Patten, SB, Cuijpers, P, Ziegelstein, RC, Gilbody, S, Fischer, FH, Fan, S, Sun, Y, He, C, Krishnan, A, Neupane, D, Bhandari, PM, Negeri, Z, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Imran, M, Chiovitti, MJ, Boruff, JT, McMillan, D, Kloda, LA, Markham, S, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Al-Adawi, S, Beck, KR, Beraldi, A, Bernstein, CN, Boye, B, Buel-Drabe, N, Bunevicius, A, Can, C, Carter, G, Chen, C-K, Cheung, G, Clover, K, Conroy, RM, Costa-Requena, G, Cukor, D, Dabscheck, E, De Souza, J, Downing, M, Feinstein, A, Ferentinos, PP, Flint, AJ, Gallagher, P, Gandy, M, Grassi, L, Haerter, M, Hernando, A, Jackson, ML, Jenewein, J, Jette, N, Juliao, M, Kjaergaard, M, Kohler, S, Konig, H-H, Krishna, LKR, Lee, Y, Loebner, M, Loosman, WL, Love, AW, Loewe, B, Malt, UF, Marrie, RA, Massardo, L, Matsuoka, Y, Mehnert, A, Michopoulos, I, Misery, L, Nelson, CJ, Ng, CG, O'Donnell, ML, O'Rourke, SJ, Ozturk, A, Pabst, A, Pasco, JA, Peceliuniene, J, Pintor, L, Ponsford, JL, Pulido, F, Quinn, TJ, Reme, SE, Reuter, K, Riedel-Heller, SG, Rooney, AG, Sanchez-Gonzalez, R, Saracino, RM, Schellekens, MPJ, Scherer, M, Schwarzbold, ML, Cankorur, VS, Sharpe, L, Sharpe, M, Simard, S, Singer, S, Stafford, L, Stone, J, Strobe, NA, Sultan, S, Teixeira, AL, Tiringer, I, Turner, A, Walker, J, Walterfang, M, Wang, L-J, Weyerer, SB, White, J, Wiese, B, Williams, LJ, Wong, L-Y, Benedetti, A, Thombsi, BD, Wu, Y, Levis, B, Daray, FM, Ioannidis, JPA, Patten, SB, Cuijpers, P, Ziegelstein, RC, Gilbody, S, Fischer, FH, Fan, S, Sun, Y, He, C, Krishnan, A, Neupane, D, Bhandari, PM, Negeri, Z, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Imran, M, Chiovitti, MJ, Boruff, JT, McMillan, D, Kloda, LA, Markham, S, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Al-Adawi, S, Beck, KR, Beraldi, A, Bernstein, CN, Boye, B, Buel-Drabe, N, Bunevicius, A, Can, C, Carter, G, Chen, C-K, Cheung, G, Clover, K, Conroy, RM, Costa-Requena, G, Cukor, D, Dabscheck, E, De Souza, J, Downing, M, Feinstein, A, Ferentinos, PP, Flint, AJ, Gallagher, P, Gandy, M, Grassi, L, Haerter, M, Hernando, A, Jackson, ML, Jenewein, J, Jette, N, Juliao, M, Kjaergaard, M, Kohler, S, Konig, H-H, Krishna, LKR, Lee, Y, Loebner, M, Loosman, WL, Love, AW, Loewe, B, Malt, UF, Marrie, RA, Massardo, L, Matsuoka, Y, Mehnert, A, Michopoulos, I, Misery, L, Nelson, CJ, Ng, CG, O'Donnell, ML, O'Rourke, SJ, Ozturk, A, Pabst, A, Pasco, JA, Peceliuniene, J, Pintor, L, Ponsford, JL, Pulido, F, Quinn, TJ, Reme, SE, Reuter, K, Riedel-Heller, SG, Rooney, AG, Sanchez-Gonzalez, R, Saracino, RM, Schellekens, MPJ, Scherer, M, Schwarzbold, ML, Cankorur, VS, Sharpe, L, Sharpe, M, Simard, S, Singer, S, Stafford, L, Stone, J, Strobe, NA, Sultan, S, Teixeira, AL, Tiringer, I, Turner, A, Walker, J, Walterfang, M, Wang, L-J, Weyerer, SB, White, J, Wiese, B, Williams, LJ, Wong, L-Y, Benedetti, A, and Thombsi, BD

Abstract

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 meta-analysis 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 HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Published
2023

7. What is the prevalence of fear of cancer recurrence in cancer survivors and patients? A systematic review and individual participant data meta-analysis

Author

Luigjes-Huizer, YL, Tauber, NM, Humphris, G, Kasparian, NA, Lam, WWT, Lebel, S, Simard, S, Smith, AB, Zachariae, R, Afiyanti, Y, Bell, KJL, Custers, JAE, de Wit, NJ, Fisher, PL, Galica, J, Garland, SN, Helsper, CW, Jeppesen, MM, Liu, J, Mititelu, R, Monninkhof, EM, Russell, Lahiru, Savard, J, Speckens, AEM, van Helmondt, SJ, Vatandoust, S, Zdenkowski, N, van der Lee, ML, Luigjes-Huizer, YL, Tauber, NM, Humphris, G, Kasparian, NA, Lam, WWT, Lebel, S, Simard, S, Smith, AB, Zachariae, R, Afiyanti, Y, Bell, KJL, Custers, JAE, de Wit, NJ, Fisher, PL, Galica, J, Garland, SN, Helsper, CW, Jeppesen, MM, Liu, J, Mititelu, R, Monninkhof, EM, Russell, Lahiru, Savard, J, Speckens, AEM, van Helmondt, SJ, Vatandoust, S, Zdenkowski, N, and van der Lee, ML

Published
2022

8. What is the prevalence of fear of cancer recurrence in cancer survivors and patients? A systematic review and individual participant data meta-analysis

Author

Luigjes-Huizer, Y.L., Tauber, N.M., Humphris, G., Kasparian, N.A., Lam, W.W.K., Lebel, S., Simard, S., Smith, A.B., Zachariae, R., Afiyanti, Y., Bell, K.J., Custers, J.A.E., Wit, N.J. de, Fisher, P.L., Galica, J., Garland, S.N., Helsper, C.W., Jeppesen, M.M., Liu, J., Mititelu, R., Monninkhof, E.M., Russell, L., Savard, J., Speckens, A.E.M., Helmondt, S.J. van, Vatandoust, S., Zdenkowski, N., Lee, M.L. van der, Luigjes-Huizer, Y.L., Tauber, N.M., Humphris, G., Kasparian, N.A., Lam, W.W.K., Lebel, S., Simard, S., Smith, A.B., Zachariae, R., Afiyanti, Y., Bell, K.J., Custers, J.A.E., Wit, N.J. de, Fisher, P.L., Galica, J., Garland, S.N., Helsper, C.W., Jeppesen, M.M., Liu, J., Mititelu, R., Monninkhof, E.M., Russell, L., Savard, J., Speckens, A.E.M., Helmondt, S.J. van, Vatandoust, S., Zdenkowski, N., and Lee, M.L. van der

Abstract

Item does not contain fulltext, OBJECTIVE: Care for fear of cancer recurrence (FCR) is considered the most common unmet need among cancer survivors. Yet the prevalence of FCR and predisposing factors remain inconclusive. To support targeted care, we provide a comprehensive overview of the prevalence and severity of FCR among cancer survivors and patients, as measured using the short form of the validated Fear of Cancer Recurrence Inventory (FCRI-SF). We also report on associations between FCR and clinical and demographic characteristics. METHODS: This is a systematic review and individual participant data (IPD) meta-analysis on the prevalence of FCR. In the review, we included all studies that used the FCRI-SF with adult (≥18 years) cancer survivors and patients. Date of search: 7 February 2020. Risk of bias was assessed using the Joanna Briggs Institute critical appraisal tool. RESULTS: IPD were requested from 87 unique studies and provided for 46 studies comprising 11,226 participants from 13 countries. 9311 respondents were included for the main analyses. On the FCRI-SF (range 0-36), 58.8% of respondents scored ≥13, 45.1% scored ≥16 and 19.2% scored ≥22. FCR decreased with age and women reported more FCR than men. FCR was found across cancer types and continents and for all time periods since cancer diagnosis. CONCLUSIONS: FCR affects a considerable number of cancer survivors and patients. It is therefore important that healthcare providers discuss this issue with their patients and provide treatment when needed. Further research is needed to investigate how best to prevent and treat FCR and to identify other factors associated with FCR. The protocol was prospectively registered (PROSPERO CRD42020142185).

Published
2022

23. Probability of major depression classification based on the SCID, CIDI, and MINI diagnostic interviews: A synthesis of three individual participant data meta-analyses

Author

Wu, Y. Levis, B. Ioannidis, J.P.A. Benedetti, A. Thombs, B.D. Sun, Y. He, C. Krishnan, A. Bhandari, P.M. Neupane, D. Negeri, Z. Imran, M. Rice, D.B. Riehm, K.E. Saadat, N. Azar, M. Levis, A.W. Sanchez, T.A. Chiovitti, M.J. Yan, X.W. Boruff, J. Kloda, L.A. Cuijpers, P. Gilbody, S. McMillan, D. Patten, S.B. Shrier, I. Ziegelstein, R.C. Comeau, L. Mitchell, N.D. Tonelli, M. Vigod, S.N. Henry, M. Ismail, Z. Loiselle, C.G. Akena, D.H. Al-Adawi, S. Alamri, S.H. Alvarado, R. Alvarado-Esquivel, C. Amtmann, D. Arroll, B. Ayalon, L. Bakare, M.O. Baradaran, H.R. Barnes, J. Bavle, A.D. Beck, C.T. Beraldi, A. Bernstein, C.N. Bhana, A. Bindt, C. Bombardier, C.H. Boyce, P.M. Büel-Drabe, N. Buji, R.I. Bunevicius, A. Butnoriene, J. Bunevicius, R. Butterworth, P. Carter, G. Chagas, M.H. Chan, J.C.N. Chan, L.F. Chaudron, L.H. Chen, C.-K. Cholera, R. Clover, K. Conroy, R.M. Conway, A. Conwell, Y. Correa, H. Castro E Couto, T. Cukor, D. Dabscheck, E. Daray, F.M. De Figueiredo, F.P. De Man-Van Ginkel, J.M. Diez-Quevedo, C. Douven, E. Downing, M.G. Eapen, V. Fann, J.R. Feinstein, A. Ferentinos, P.P. Fernandes, M. Field, S. Figueiredo, B. Fischer, F.H. Fisher, J.R.W. Flint, A.J. Fujimori, M. Fung, D.S.S. Gallagher, P. Gandy, M. Garcia-Esteve, L. Garman, E.C. Gelaye, B. Gholizadeh, L. Giardinelli, L. Gibson, L.J. Goodyear-Smith, F. Grassi, L. Green, E.P. Greeno, C.G. Hall, B.J. Hantsoo, L. Haroz, E.E. Harter, M. Hegerl, U. Helle, N. Hides, L. Hobfoll, S.E. Honikman, S. Howard, L.M. Hudson, M. Hyphantis, T. Inagaki, M. Jenewein, J. Jeon, H.J. Jette, N. Keller, M. Khalifa, D.S. Khamseh, M.E. Kiely, K.M. Kim, S.-W. Kjargaard, M. Kohler, S. Kohlhoff, J. Kohrt, B.A. Kozinszky, Z. Kusminskas, L. Kwan, Y. Lamers, F. Lara, M.A. Lelli, L. Leonardou, A.A. Levin-Aspenson, H.F. Lotrakul, M. Loureiro, S.R. Lowe, B. Luitel, N.P. Lund, C. Maes, M. Marrie, R.A. Marsh, L. Martin-Santos, R. Marx, B.P. Massardo, L. Matsuoka, Y. Mehner, A. Meuti, V. Michopoulos, I. Misery, L. Sidik, S.M. Munhoz, T.N. Muramatsu, K. Radoš, S.N. Nakku, J.E.M. Navarrete, L. Garcia, P.N. Navines, R. Nishi, D. O'Donnell, M.L. Luwa E-Andjafono, D.O. Osório, F.L. Öztürk, A. Peceliuniene, J. Pence, B.W. Persoons, P. Picardi, A. Pintor, L. Ponsford, J.L. Pugh, S.L. Quinn, T.J. Rancans, E. Rathod, S.D. Reme, S.E. Reuter, K. Robertson-Blackmore, E. Rochat, T.J. Rooney, A.G. Rowe, H.J. Sánchez-González, R. Santos, I.S. Schram, M.T. Schwarzbold, M.L. Cankorur, V.S. Shaaban, J. Sharpe, L. Shinn, E.H. Sidebottom, A. Simard, S. Simning, A. Singer, S. Siu, B.W.M. Skalkidou, A. Spangenberg, L. Stafford, L. Stein, A. Stewart, R.C. Stone, J. Su, K.-P. Sultan, S. Sundström-Poromaa, I. Sung, S.C. Suzuki, K. Tadinac, M. Tan, P.L.L. Tandon, S.D. Taylor-Rowan, M. Teixeira, A.L. Tendais, I. Thiagayson, P. Tiringer, I. Töreki, A. Torres-Giménez, A. Tran, T.D. Trevillion, K. Tung, K.-Y. Turner, A. Turner, K. Van Der Feltz-Cornelis, C.M. Van Heyningen, T. Van Weert, H.C. Vega-Dienstmaier, J.M. Vöhringer, P.A. Wagner, L.I. Walterfang, M. Wang, J.L. Wang, W. Wang, L.-J. White, J. Wong, D.K. Wynter, K. Yamada, M. Yonkers, K.A. Zeng, Q.Z. Zhang, Y. DEPRESsion Screening Data (DEPRESSD) Collaboration

Abstract

Introduction: Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results. Objective: To compare the odds of the major depression classification based on the SCID, CIDI, and MINI. Methods: We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis. Results: In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80). Conclusions: Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics. © 2020

Published
2020

25. UBC Rethink Silviculture Discussion Paper

Author

Mitchell, Steve, Larson, Bruce, Griess, Verena C., Simard, S. (Suzanne), DeLong, Deborah L., Nelson, Harry, Melton, Judah Chaim, and Sheppard, Julie

Abstract

This whitepaper summarizes information sources, discussions and feedback from practitioners, organized into seven themes each of which concludes with some recommendations for policy and practice improvements on the question of how to better link silviculture strategies to forest-level planning and timber supply analysis.

Published
2020
Full Text
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26. Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

Author

Brehaut, E. Neupane, D. Levis, B. Wu, Y. Sun, Y. Krishnan, A. He, C. Bhandari, P.M. Negeri, Z. Riehm, K.E. Rice, D.B. Azar, M. Yan, X.W. Imran, M. Chiovitti, M.J. Saadat, N. Cuijpers, P. Ioannidis, J.P.A. Markham, S. Patten, S.B. Ziegelstein, R.C. Henry, M. Ismail, Z. Loiselle, C.G. Mitchell, N.D. Tonelli, M. Boruff, J.T. Kloda, L.A. Beraldi, A. Braeken, A.P.B.M. Carter, G. Clover, K. Conroy, R.M. Cukor, D. da Rocha e Silva, C.E. De Souza, J. Downing, M.G. Feinstein, A. Ferentinos, P.P. Fischer, F.H. Flint, A.J. Fujimori, M. Gallagher, P. Goebel, S. Jetté, N. Julião, M. Keller, M. Kjærgaard, M. Love, A.W. Löwe, B. Martin-Santos, R. Michopoulos, I. Navines, R. O'Rourke, S.J. Öztürk, A. Pintor, L. Ponsford, J.L. Rooney, A.G. Sánchez-González, R. Schwarzbold, M.L. Sharpe, M. Simard, S. Singer, S. Stone, J. Tung, K.-Y. Turner, A. Walker, J. Walterfang, M. White, J. Benedetti, A. Thombs, B.D.

Abstract

Objectives: Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. Methods: We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated. Results: 6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was −21.1% to 19.5%. Conclusions: HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview. © 2020 Elsevier Inc.

Published
2020

27. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Author

Wu, Y. Levis, B. Sun, Y. Krishnan, A. He, C. Riehm, K.E. Rice, D.B. Azar, M. Yan, X.W. Neupane, D. Bhandari, P.M. Imran, M. Chiovitti, M.J. Saadat, N. Boruff, J.T. Cuijpers, P. Gilbody, S. McMillan, D. Ioannidis, J.P.A. Kloda, L.A. Patten, S.B. Shrier, I. Ziegelstein, R.C. Henry, M. Ismail, Z. Loiselle, C.G. Mitchell, N.D. Tonelli, M. Al-Adawi, S. Beraldi, A. Braeken, A.P.B.M. Büel-Drabe, N. Bunevicius, A. Carter, G. Chen, C.-K. Cheung, G. Clover, K. Conroy, R.M. Cukor, D. da Rocha e Silva, C.E. Dabscheck, E. Daray, F.M. Douven, E. Downing, M.G. Feinstein, A. Ferentinos, P.P. Fischer, F.H. Flint, A.J. Fujimori, M. Gallagher, P. Gandy, M. Goebel, S. Grassi, L. Härter, M. Jenewein, J. Jetté, N. Julião, M. Kim, J.-M. Kim, S.-W. Kjærgaard, M. Köhler, S. Loosman, W.L. Löwe, B. Martin-Santos, R. Massardo, L. Matsuoka, Y. Mehnert, A. Michopoulos, I. Misery, L. Navines, R. O'Donnell, M.L. Öztürk, A. Peceliuniene, J. Pintor, L. Ponsford, J.L. Quinn, T.J. Reme, S.E. Reuter, K. Rooney, A.G. Sánchez-González, R. Schwarzbold, M.L. Senturk Cankorur, V. Shaaban, J. Sharpe, L. Sharpe, M. Simard, S. Singer, S. Stafford, L. Stone, J. Sultan, S. Teixeira, A.L. Tiringer, I. Turner, A. Walker, J. Walterfang, M. Wang, L.-J. White, J. Wong, D.K. Benedetti, A. Thombs, B.D.

Abstract

Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity. © 2019 Elsevier Inc.

Published
2020

31. Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Author

Wu, Y, Levis, B, Sun, Y, Krishnan, A, He, C, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Neupane, D, Bhandari, PM, Imran, M, Chiovitti, MJ, Saadat, N, Boruff, JT, Cuijpers, P, Gilbody, S, McMillan, D, Ioannidis, JPA, Kloda, LA, Patten, SB, Shrier, I, Ziegelstein, RC, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Tonelli, M, Al-Adawi, S, Beraldi, A, Braeken, APBM, Bueel-Drabe, N, Bunevicius, A, Carter, G, Chen, C-K, Cheung, G, Clover, K, Conroy, RM, Cukor, D, Rocha e Silva, CE, Dabscheck, E, Daray, FM, Douven, E, Downing, MG, Feinstein, A, Ferentinos, PP, Fischer, FH, Flint, AJ, Fujimori, M, Gallagher, P, Gandy, M, Goebel, S, Grassi, L, Haerter, M, Jenewein, J, Jette, N, Juliao, M, Kim, J-M, Kim, S-W, Kjaergaard, M, Kohler, S, Loosman, WL, Loewe, B, Martin-Santos, R, Massardo, L, Matsuoka, Y, Mehnert, A, Michopoulos, I, Misery, L, Navines, R, O'Donnell, ML, Ozturk, A, Peceliuniene, J, Pintor, L, Ponsford, JL, Quinn, TJ, Reme, SE, Reuter, K, Rooney, AG, Sanchez-Gonzalez, R, Schwarzbold, ML, Cankorur, VS, Shaaban, J, Sharpe, L, Sharpe, M, Simard, S, Singer, S, Stafford, L, Stone, J, Sultan, S, Teixeira, AL, Tiringer, I, Turner, A, Walker, J, Walterfang, M, Wang, L-J, White, J, Wong, DK, Benedetti, A, Thombs, BD, Wu, Y, Levis, B, Sun, Y, Krishnan, A, He, C, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Neupane, D, Bhandari, PM, Imran, M, Chiovitti, MJ, Saadat, N, Boruff, JT, Cuijpers, P, Gilbody, S, McMillan, D, Ioannidis, JPA, Kloda, LA, Patten, SB, Shrier, I, Ziegelstein, RC, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Tonelli, M, Al-Adawi, S, Beraldi, A, Braeken, APBM, Bueel-Drabe, N, Bunevicius, A, Carter, G, Chen, C-K, Cheung, G, Clover, K, Conroy, RM, Cukor, D, Rocha e Silva, CE, Dabscheck, E, Daray, FM, Douven, E, Downing, MG, Feinstein, A, Ferentinos, PP, Fischer, FH, Flint, AJ, Fujimori, M, Gallagher, P, Gandy, M, Goebel, S, Grassi, L, Haerter, M, Jenewein, J, Jette, N, Juliao, M, Kim, J-M, Kim, S-W, Kjaergaard, M, Kohler, S, Loosman, WL, Loewe, B, Martin-Santos, R, Massardo, L, Matsuoka, Y, Mehnert, A, Michopoulos, I, Misery, L, Navines, R, O'Donnell, ML, Ozturk, A, Peceliuniene, J, Pintor, L, Ponsford, JL, Quinn, TJ, Reme, SE, Reuter, K, Rooney, AG, Sanchez-Gonzalez, R, Schwarzbold, ML, Cankorur, VS, Shaaban, J, Sharpe, L, Sharpe, M, Simard, S, Singer, S, Stafford, L, Stone, J, Sultan, S, Teixeira, AL, Tiringer, I, Turner, A, Walker, J, Walterfang, M, Wang, L-J, White, J, Wong, DK, Benedetti, A, and Thombs, BD

Abstract

OBJECTIVE: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). METHODS: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. RESULTS: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). CONCLUSION: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

Published
2020

32. Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

Author

Brehaut, E, Neupane, D, Levis, B, Wu, Y, Sun, Y, Krishnan, A, He, C, Bhandari, PM, Negeri, Z, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Imran, M, Chiovitti, MJ, Saadat, N, Cuijpers, P, Ioannidis, JPA, Markham, S, Patten, SB, Ziegelstein, RC, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Tonelli, M, Boruff, JT, Kloda, LA, Beraldi, A, Braeken, APBM, Carter, G, Clover, K, Conroy, RM, Cukor, D, da Rocha E Silva, CE, De Souza, J, Downing, MG, Feinstein, A, Ferentinos, PP, Fischer, FH, Flint, AJ, Fujimori, M, Gallagher, P, Goebel, S, Jette, N, Juliao, M, Keller, M, Kjaergaard, M, Love, AW, Loewe, B, Martin-Santos, R, Michopoulos, I, Navines, R, O'Rourke, SJ, Ozturk, A, Pintor, L, Ponsford, JL, Rooney, AG, Sanchez-Gonzalez, R, Schwarzbold, ML, Sharpe, M, Simard, S, Singer, S, Stone, J, Tung, K-Y, Turner, A, Walker, J, Walterfang, M, White, J, Benedetti, A, Thombs, BD, Brehaut, E, Neupane, D, Levis, B, Wu, Y, Sun, Y, Krishnan, A, He, C, Bhandari, PM, Negeri, Z, Riehm, KE, Rice, DB, Azar, M, Yan, XW, Imran, M, Chiovitti, MJ, Saadat, N, Cuijpers, P, Ioannidis, JPA, Markham, S, Patten, SB, Ziegelstein, RC, Henry, M, Ismail, Z, Loiselle, CG, Mitchell, ND, Tonelli, M, Boruff, JT, Kloda, LA, Beraldi, A, Braeken, APBM, Carter, G, Clover, K, Conroy, RM, Cukor, D, da Rocha E Silva, CE, De Souza, J, Downing, MG, Feinstein, A, Ferentinos, PP, Fischer, FH, Flint, AJ, Fujimori, M, Gallagher, P, Goebel, S, Jette, N, Juliao, M, Keller, M, Kjaergaard, M, Love, AW, Loewe, B, Martin-Santos, R, Michopoulos, I, Navines, R, O'Rourke, SJ, Ozturk, A, Pintor, L, Ponsford, JL, Rooney, AG, Sanchez-Gonzalez, R, Schwarzbold, ML, Sharpe, M, Simard, S, Singer, S, Stone, J, Tung, K-Y, Turner, A, Walker, J, Walterfang, M, White, J, Benedetti, A, and Thombs, BD

Abstract

OBJECTIVES: Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale - depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence. METHODS: We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated. RESULTS: 6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was -21.1% to 19.5%. CONCLUSIONS: HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview.

Published
2020

34. Automated oxygen titration and weaning with FreeO2 in patients with acute exacerbation of COPD: a pilot randomized trial

Author

Lellouche F, Bouchard PA, Roberge M, Simard S, L’Her E, Maltais F, and Lacasse Y

Subjects
lcsh:RC705-779, technological innovations, Oxygen inhalation therapy, hypoxia, hyperoxia, lcsh:Diseases of the respiratory system, COPD acute exacerbation
Abstract

François Lellouche,1 Pierre-Alexandre Bouchard,1 Maude Roberge,1 Serge Simard,1,2 Erwan L’Her,1,3 François Maltais,1 Yves Lacasse1 1Research Centre, 2Biostatistics Department, Quebec Heart and Lung Institute, Laval University, 3Emergency Medicine, Hôtel-Dieu de Lévis, Laval University, Quebec City, QC, Canada Introduction: We developed a device (FreeO2) that automatically adjusts the oxygen flow rates based on patients’ needs, in order to limit hyperoxia and hypoxemia and to automatically wean them from oxygen. Objective: The aim of this study was to evaluate the feasibility of using FreeO2 in patients hospitalized in the respiratory ward for an acute exacerbation of COPD. Methods: We conducted a randomized controlled trial comparing FreeO2 vs manual oxygen titration in the respiratory ward of a university hospital. We measured the perception of appropriateness of oxygen titration and monitoring in both groups by nurses and attending physicians using a Likert scale. We evaluated the time in the target range of oxygen saturation (SpO2) as defined for each patient by the attending physician, the time with severe desaturation (SpO2 5% above the target). We also recorded length of stay, intensive care unit admissions, and readmission rate. Fifty patients were randomized (25 patients in both groups; mean age: 72±8 years; mean forced expiratory volume in 1 second: 1.00±0.49 L; and mean initial O2 flow 2.0±1.0 L/min). Results: Nurses and attending physicians felt that oxygen titration and monitoring were equally appropriate with both O2 administration systems. The percentage of time within the SpO2 target was significantly higher with FreeO2, and the time with severe desaturation and hyperoxia was significantly reduced with FreeO2. Time from study inclusion to hospital discharge was 5.8±4.4days with FreeO2 and 8.4±6.0days with usual oxygen administration (P=0.051). Conclusion: FreeO2 was deemed as an appropriate oxygen administration system by nurses and physicians of a respiratory unit. This system maintained SpO2 at the target level better than did manual titration and reduced periods of desaturation and hyperoxia. Our results also suggest that FreeO2 has the potential to reduce the hospital length of stay. Keywords: oxygen inhalation therapy, technological innovations, hypoxia, hyperoxia, closed-loop

Published
2016

36. Epigenetic transmission of cardiometabolic risk in offspring discordant for maternal gestational metabolic fitness

Author

Marie-Claude Vohl, Picard Marceau, Simard S, Simon Marceau, John G. Kral, and Frédéric Guénard

Subjects
2. Zero hunger, Research design, 0303 health sciences, business.industry, Transmission (medicine), Offspring, Physiology, 030209 endocrinology & metabolism, 03 medical and health sciences, 0302 clinical medicine, DNA methylation, Gestation, Medicine, Peripheral blood cell, Epigenetics, medicine.symptom, business, Weight gain, 030304 developmental biology
Abstract

OBJECTIVEDiabesity during gestation predisposes offspring to lifetime cardiometabolic risk. We demonstrated that maternal biliopancreatic diversion surgery (BPD) improved metabolic fitness and pregnancies reducing cardiometabolic risk in siblings born after (AMS) compared to before maternal surgery (BMS). We found differential methylation of inflammatory and glucoregulatory genes in peripheral blood cell DNA in offspring and in mothers after BPD compared to preoperative “control” women. Here we study offspring trajectories of cardiometabolic risk markers and determine persistence of the methylome related to body weight (BMI) and gestational weight gain (GWG).RESEARCH DESIGN AND METHODSProspective, cross-sectional study of 133 mothers with 89 BMS and 183 AMS offspring born mean 4 years after BPD and 83 unoperated control women was conducted, and differential methylation patterns in mothers were compared with those of offspring during 2-26 years.RESULTSIndependent of maternal or offspring BMI and GWG, postoperative maternal metabolic fitness was associated with improved cardiometabolic phenotype in AMS vs. BMS offspring sustained beyond puberty. BMS offspring exhibited increasing linear trajectories of weight, cardiometabolic and inflammation risk factorsversusnormative horizontal trajectories of AMS offspring. Methylation differences between AMS and BMS offspring identified 45 625 differentially methylated sites, 73% overlapping with those of mothers vs. controls; 4 446 demonstrated similar sustained directionality of differences in methylation levels; 154 sites exhibited significant correlation coefficients (r≥0.4) overrepresented within genes associated with cardiometabolic risk, growth and inflammation.CONCLUSIONMaternal BPD appears to epigenetically prevent transmission of cardiometabolic risk independent of BMI.

Published
2018
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39. Effect of Psychological Intervention on Fear of Cancer Recurrence: A Systematic Review and Meta-Analysis

Author

Tauber, N.M., O'Toole, M.S., Dinkel, A., Galica, J., Humphris, G., Lebel, S., Maheu, C., Ozakinci, G., Prins, J.B., Sharpe, L., Smith, A.B., Thewes, B., Simard, S., Zachariae, R., Tauber, N.M., O'Toole, M.S., Dinkel, A., Galica, J., Humphris, G., Lebel, S., Maheu, C., Ozakinci, G., Prins, J.B., Sharpe, L., Smith, A.B., Thewes, B., Simard, S., and Zachariae, R.

Abstract

Contains fulltext : 215607.pdf (publisher's version ) (Open Access), PURPOSE: Fear of cancer recurrence (FCR) is a significantly distressing problem that affects a substantial number of patients with and survivors of cancer; however, the overall efficacy of available psychological interventions on FCR remains unknown. We therefore evaluated this in the present systematic review and meta-analysis. METHODS: We searched key electronic databases to identify trials that evaluated the effect of psychological interventions on FCR among patients with and survivors of cancer. Controlled trials were subjected to meta-analysis, and the moderating influence of study characteristics on the effect were examined. Overall quality of evidence was evaluated using the GRADE system. Open trials were narratively reviewed to explore ongoing developments in the field (PROSPERO registration no.: CRD42017076514). RESULTS: A total of 23 controlled trials (21 randomized controlled trials) and nine open trials were included. Small effects (Hedges's g) were found both at postintervention (g = 0.33; 95% CI, 0.20 to 0.46; P < .001) and at follow-up (g = 0.28; 95% CI, 0.17 to 0.40; P < .001). Effects at postintervention of contemporary cognitive behavioral therapies (CBTs; g = 0.42) were larger than those of traditional CBTs (g = 0.24; beta = .22; 95% CI, .04 to .41; P = .018). At follow-up, larger effects were associated with shorter time to follow-up (beta = -.01; 95% CI, -.01 to -.00; P = .027) and group-based formats (beta = .18; 95% CI, .01 to .36; P = .041). A GRADE evaluation indicated evidence of moderate strength for effects of psychological intervention for FCR. CONCLUSION: Psychological interventions for FCR revealed a small but robust effect at postintervention, which was largely maintained at follow-up. Larger postintervention effects were found for contemporary CBTs that were focused on processes of cognition-for example, worry, rumination, and attentional bias-rather than the content, and aimed to change the way in which the individual relates to his

Published
2019

40. Soil transplants as a mine reclamation technique for rehabilitating soil microbial communities

Author

Simard, S. (Suzanne) and McMahen, Katie

Abstract

Overburden and tailings requiring reclamation at mine sites are nutrient deficient, have poor physical structure and lack developed biological communities, which can be a barrier to revegetation. Small-volume transplants of native forest soil to the seedling rhizosphere are a potential source of locally-adapted biological inoculum and improved rhizosphere physiochemical conditions. A six-month greenhouse study using substrates from the Mount Polley Mine, BC tested the effects of 5% (~40mL) and 25% (~180mL) native forest soil transplants on alder, spruce and willow seedling establishment in overburden and tailings. Sterilized soil was also tested to investigate the role of soil biota in the observed effects. In general, 5% and 25% forest soil transplants added to overburden and tailings, respectively, significantly improved seedling establishment to be equivalent to forest soil controls, although transplant effects and substrate interactions varied among the tested species. The transplants were also an effective source of nitrogen-fixing bacteria and ectomycorrhizal fungi for tailings reclamation. Increased colonization by these symbionts was linked to improvements in seedling growth and physiology endpoints. This reclamation technique provides an option for mine sites with low topsoil availability and/or salvaged topsoil that has degraded during long-term storage.

Published
2018
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41. Fibroblast growth factor 2 is necessary for the antidepressant effects of fluoxetine

Author

Simard, S. (Stephanie), Shail, P. (Pragya), MacGregor, J. (Jessica), El Sayed, M. (Maha), Duman, R.S. (Ronald S.), Vaccarino, F.M. (Flora M.), Salmaso, N. (Natalina), Simard, S. (Stephanie), Shail, P. (Pragya), MacGregor, J. (Jessica), El Sayed, M. (Maha), Duman, R.S. (Ronald S.), Vaccarino, F.M. (Flora M.), and Salmaso, N. (Natalina)

Abstract

Previous research has shown that fibroblast growth factor 2 protein (FGF2) can act as an anxiolytic and anti-depressive agent in rodents. Levels of hippocampal FGF2 and FGF2 receptors are decreased in post-mortem brains of individuals with mood disorders. No changes in FGF2 were noted in the post-mortem brains of individuals with mood disorders that were successfully treated with anti-depressant medication prior to death. Mutations in the FGF2 gene in humans have been shown to predict non-responsiveness to the therapeutic effects of selective serotonin reuptake inhibitors (SSRIs). These findings suggest that FGF2 may potentially be a target of and/or required for the therapeutic effects of antidepressant medications. To test this, we employed a rodent model of depressive behaviour, chronic variable stress (CVS) in conjunction with antidepressant treatment (fluoxetine) in wild-type (WT) and FGF2 knockout mice (FGF2KO) and examined depressive and anxiety behavio

Published
2018
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48. Exploring reasons for overuse of contralateral prophylactic mastectomy in Canada.

Author

Squires, J. E., Simard, S. N., Asad, S., Stacey, D., Graham, I. D., Coughlin, M., Clemons, M., Grimshaw, J. M., Zhang, J., Caudrelier, J. M., and Arnaout, A.

Subjects
*ONCOLOGISTS, *MEDICAL personnel, *MASTECTOMY, *PLASTIC surgeons, *SEMI-structured interviews, *THEMATIC analysis
Abstract

Background Contralateral prophylactic mastectomy (CPM) in women with known unilateral breast cancer (BCA) has been increasing despite the lack of supportive evidence. The purpose of the present study was to identify the determinants of CPM in women with unilateral BCa. Methods This qualitative descriptive study used semi-structured interviews informed by the Theoretical Domains Framework. We interviewed 74 key informants (surgical oncologists, plastic surgeons, medical oncologists, radiation oncologists, nurses, women with BCa) across Canada. Interviews were analyzed using thematic analysis and an analysis for shared and discipline-specific beliefs. Results In total, 58 factors influencing the use of CPM were identified: 26 factors shared by various health care professional groups, 15 discipline-specific factors (identified by a single health care professional group), and 17 factors shared by women with unilateral BCa. Health care professionals identified more factors discouraging the use of CPM (n = 26) than encouraging its use (n = 15); women with BCa identified more factors encouraging use of CPM (n = 12) than discouraging its use (n = 5). The factor most commonly identified by health care professionals that encouraged CPM was lack of awareness of existing evidence or guidelines for the appropriate use of CPM (n = 44, 75%). For women with BCa, the factor most likely influencing their decision for CPM was wanting a better esthetic outcome (n = 14, 93%). Conclusions Multiple factors discouraging and encouraging the use of CPM in unilateral BCa were identified. Those factors identify potential individual, team, organization, and system targets for behaviour change interventions to reduce CPM. [ABSTRACT FROM AUTHOR]

Published
2019
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49. Searches for supersymmetry with the ATLAS detector using final states with two leptons and missing transverse momentum in root s=7 TeV proton-proton collisions

Author

Aad, G, Abbott, B, Abdallah, J, Abdelalim, Aa, Abdesselam, A, Abdinov, O, Abi, B, Abolins, M, Abramowicz, H, Abreu, H, Acerbi, E, Acharya, Bs, Adams, Dl, Addy, Tn, Adelman, J, Aderholz, M, Adomeit, S, Adragna, P, Adye, T, Aefsky, S, Aguilar Saavedra JA, Aharrouche, M, Ahlen, Sp, Ahles, F, Ahmad, A, Ahsan, M, Aielli, G, Akdogan, T, Akesson, Tpa, Akimoto, G, Akimov, Av, Akiyama, A, Alam, Ms, Alam, Ma, Albert, J, Albrand, S, Aleksa, M, Aleksandrov, In, Alessandria, F, Alexa, C, Alexander, G, Alexandre, G, Alexopoulos, T, Alhroob, M, Aliev, M, Alimonti, G, Alison, J, Aliyev, M, Allport, Pp, Allwood Spiers SE, Almond, J, Aloisio, A, Alon, R, Alonso, A, Alviggi, Mg, Amako, K, Amaral, R, Amelung, C, Ammosov, Vv, Amorim, A, Amoros, C, Amram, N, Anastopoulos, C, Ancu, Ls, Andari, N, Andeen, T, Anders, Cf, Anders, G, Anderson, Kj, Andreazza, A, Andrei, V, Andrieux, Ml, Anduaga, Xs, Angerami, A, Anghinolfi, F, Anjos, N, Annovi, A, Antonaki, A, Antonelli, M, Antonov, A, Antos, J, Anulli, E, Aoun, S, Bella, La, Apolle, R, Arabidze, G, Aracena, I, Arai, Y, Arce, Ath, Archambault, Jp, Arfaoui, S, Arguin, Jf, Arik, E, Arik, M, Armbruster, Aj, Arnaez, O, Arnault, C, Artamonov, A, Artoni, G, Arutinov, D, Asai, S, Asfandiyarov, R, Ask, S, Asman, B, Asquith, L, Assamagan, K, Astbury, A, Astvatsatourov, A, Atoian, G, Aubert, B, Auge, E, Augsten, K, Aurousseau, M, Austin, N, Avolio, G, Avramidou, R, Axen, D, Ay, C, Azuelos, G, Azuma, Y, Baak, Ma, Baccaglioni, G, Bacci, C, Bach, Am, Bachacou, H, Bachas, K, Bachy, G, Backes, M, Backhaus, M, Badescu, E, Bagnaia, P, Bahinipati, S, Bai, Y, Bailey, Dc, Bain, T, Baines, Jt, Baker, Ok, Baker, Md, Baker, S, Banas, E, Banerjee, P, Banerjee, S, Banfi, D, Bangert, A, Bansal, V, Bansil, Hs, Barak, L, Baranov, Sp, Barashkou, A, Galtieri, Ab, Barber, T, Barberio, El, Barberis, D, Barbero, M, Bardin, Dy, Barillari, T, Barisonzi, M, Barklow, T, Barlow, N, Barnett, Bm, Barnett, Rm, Baroncelli, A, Barone, G, Barr, Aj, Barreiro, E, da Costa JBG, Barrillon, 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Subjects
High Energy Physics::Phenomenology, High Energy Physics::Experiment, Nuclear Experiment
Abstract

Results of three searches are presented for the production of supersymmetric particles decaying into final states with missing transverse momentum and exactly two isolated leptons, e or mu. The analysis uses a data sample collected during the first half of 2011 that corresponds to a total integrated luminosity of 1 fb(-1) of root s = 7 TeV proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider. Opposite-sign and same-sign dilepton events are separately studied, with no deviations from the Standard Model expectation observed. Additionally, in opposite-sign events, a search is made for an excess of same-flavour over different-flavour lepton pairs. Effective production cross sections in excess of 9.9 fb for opposite-sign events containing supersymmetric particles with missing transverse momentum greater than 250 GeV are excluded at 95% CL For same-sign events containing supersymmetric particles with missing transverse momentum greater than 100 GeV, effective production cross sections in excess of 14.8 fb are excluded at 95% CL The latter limit is interpreted in a simplified electroweak gaugino production model excluding chargino masses up to 200 GeV, under the assumption that slepton decay is dominant. (C) 2012 CERN. Published by Elsevier B.V. All rights reserved.

Published
2012

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