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4. Quality appraisal of clinical practice guidelines addressing massage interventions using the AGREE II instrument.

Author

Fan, Mingyue, Liu, Aolin, Lu, Taoying, Zhou, Xiaowen, Tian, Chen, Liu, Bingqing, Xie, Qianwen, Cai, Jianxiong, Yin, Lingjia, Ge, Long, and Wu, Darong

Subjects
MASSAGE, INTRACLASS correlation, CHINESE medicine
Abstract

Objective: The purpose of this study was to systematically evaluate the methodological quality of massage-related clinical practice guidelines (CPGs)/consensus on massage using the Appraisal of Guidelines Research and Evaluation (AGREE II) instrument and to summarize the current status of recommendations in the CPGs. Methods: The Chinese National Knowledge Infrastructure (CNKI), WanFang Data, China Science and Technology Journal Database (VIP), China Biology Medicine disc (CBM), PubMed, Embase, and guideline websites (such as the Chinese Medical Ace Base, the China Association of Chinese Medicine, the World Health Organization, Guideline International Network, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network) were searched from inception to October 31, 2022. In addition, the reference lists of relevant studies were reviewed to identify domestic and overseas massage CPGs/consensus. The search terms adopted a combination of subject words and free words, mainly including traditional Chinese medicine, complementary therapies, Tuina, massage, manipulation, chiropractic/osteopathic, spinal, acupressure, guideline, and consensus. Two researchers independently completed the eligible records and extracted the data. Before the formal research, calibrations were performed twice on AGREE II, and all reviewers completed the pilot test three times until they understood and reached an agreement on the assessment items. Three researchers appraised the methodological quality of the included guidelines using the AGREE II instrument and calculated the overall intraclass correlation coefficient (ICC) of agreement. Results: The evaluation results showed that among the 49 eligible CPGs/consensus, 4 (8.2%) CPGs/consensus were considered "recommended", 15 (30.6%) CPGs/consensus were considered "recommended with modifications", and 30 (61.2%) CPGs/consensus were considered "not recommended", while the consensus was considered "not recommended". Generally, the scores in the six domains of the guidelines were all higher than the consensus. Evaluation results for the overall quality of 36 CPGs showed that 4 (11%) were "good quality", 15 (42%) were "sufficient quality" and 17 (47%) were "lower quality". The AGREE II quality scores of domains ranged from 0.30 to 0.75 ([ICC = 0.993, 95% CI (0.992, 0.995)]). The domain of scope and purpose (domain 1), with a median score of 0.75 (0.52~0.91), performed best in the guidelines with AGREE II, and stakeholder involvement (domain 2) [median 0.39 (0.31~0.56)] and application (domain 5) [median 0.30 (0.17~0.47] obtained lower scores. The consensus score of domain 1 was better at 26.0 (21.6~44.8), followed by rigor of development (domain 3) with a score of 18.0 (10.0~28.9). A total of 119 massage-related recommendations were extracted from 49 guidelines/consensuses, including "in favor" (102, 85.7%), "against" (9, 7.6%), and "did not make recommendations" (8, 6.7%). Conclusion: The overall quality of the included guidelines was low, and most of the guidelines were not "recommended". In future guideline updates, the existing evidence should be used, the professional composition of members of the expert group should be enriched, and patients' values and preferences should be fully considered. It is necessary to clearly propose recognizable recommendations and strengthen the rigor and standardization of guideline formulation. Thus, clear standard guidelines can be formulated to better guide clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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7. World Congress Integrative Medicine & Health 2017: Part one

Author

Brinkhaus, Benno, Falkenberg, Torkel, Haramati, Aviad, Willich, Stefan N, Briggs, Josephine P, Willcox, Merlin, Linde, Klaus, Theorell, Töres, Wong, Lisa M, Dusek, Jeffrey, Wu, Darong, Eisenberg, David, Berger, Bettina, Kemper, Kathi, Schröer, Beate, Klein, Hedda, Ferreri, Rosaria, Kaplan, Gary, Matthes, Harald, Rotter, Gabriele, Schiff, Elad, Arnon, Zahi, Hahn, Eckhard, Luberto, Christina M, Martin, David, Schwarz, Silke, Tauschel, Diethard, Flower, Andrew, Gramminger, Harsha, Gupta, Hedwig H, Gupta, S. N, Kerckhoff, Annette, Kessler, Christian S, Michalsen, Andreas, Kim, Eun S, Jang, Eun H, Kim, Rana, Jan, Sae B, Mittwede, Martin, Mohme, Wiebke, Arye, Eran, Bonucci, Massimo, Saad, Bashar, Breitkreuz, Thomas, Rossi, Elio, Kebudi, Rejin, Daher, Michel, Razaq, Samaher, Gafer, Nahla, Nimri, Omar, Hablas, Mohamed, Kienle, Gunver S, Samuels, Noah, Silbermann, Michael, Bandelin, Lena, Lang, Anna-Lena, Wartner, Eva, Holtermann, Christoph, Binstock, Maxwell, Riebau, Robert, Mujkanovic, Edin, Cramer, Holger, Lauche, Romy, Michalsen, Andres, Ward, Lesley, Irnich, Dominik, Stör, Wolfram, Burnstock, Geoffrey, Schaible, Hans-Georg, Ots, Thomas, Langhorst, Jost, Sundberg, Tobias, Amarell, Catherina, Anheyer, Melanie, Eckert, Marion, Ogal, Mercedes, Schönauer, Annette, Reisenberger, Birgit, Brand, Bernhard, Anheyer, Dennis, Dobos, Gustav, Kroez, Matthias, Ammendola, Aldo, Mao, Jun J, Witt, Claudia, Yang, Yufei, Oritz, Miriam, Horneber, Markus, Voiß, Petra, Rosenstiel, Alexandra, Amarell, Catharina, Schad, Friedemann, Schläppi, Marc, Kröz, Matthias, Büssing, Arndt, Sela, Gil, Avshalomov, David, Attias, Samuel, Cotton, Sian, Jong, Miek, Jong, Mats, Scheffer, Christian, Edelhäuser, Friedrich, AlBedah, Abdullah, Lee, Myeong S, Khalil, Mohamed, Ogawa, Keiko, Motoo, Yoshiharu, Arimitsu, Junsuke, Ogawa, Masao, Shimizu, Genki, Stange, Rainer, Kraft, Karin, Kuchta, Kenny, Watanabe, Kenji, Bonin, D, Gruber, Harald, Koch, Sabine, Pohlmann, Urs, Caldwell, Christine, Krantz, Barbara, Kortum, Ria, Martin, Lily, Wieland, Lisa S, Kligler, Ben, Fogerite, Susan, Zhang, Yuqing, Riva, John J, Lumpkin, Michael, Ratner, Emily, Ping, Liu, Jian, Pei, Hamme, Gesa-Meyer, Mao, Xiaosong, Chouping, Han, Schröder, Sven, Hummelsberger, Josef, Wullinger, Michael, Brodzky, Marc, Zalpour, Christoff, Langley, Julia, Weber, Wendy, Mudd, Lanay M, Wayne, Peter, Witt, Clauda, Weidenhammer, Wolfgang, Fønnebø, Vinjar, Boon, Heather, Steel, Amie, Bugarcic, Andrea, Rangitakatu, Melisa, Adams, Jon, Sibbritt, David, Wardle, Jon, Leach, Matthew, Schloss, Janet, Dieze, Helene, Ijaz, Nadine, Heinrich, Michael, Lewith, George, Graz, Bertrand, Adam, Daniela, Grabenhenrich, Linus, Ortiz, Miriam, Binting, Sylvia, Reinhold, Thomas, Andermo, Susanne, Nordberg, Johanna H, Arman, Maria, Bhasin, Manoj, Fan, Xueyi, Libermann, Towia, Fricchione, Gregory, Denninger, John, Benson, Herbert, Martin, David D, Boers, Inge, Vlieger, Arine, Teut, Michael, Ullmann, Alexander, Lotz, Fabian, Roll, Stephanie, Canella, Claudia, Mikolasek, Michael, Rostock, Matthias, Beyer, Jörg, Guckenberger, Matthias, Jenewein, Josef, Linka, Esther, Six, Claudia, Stoll, Sarah, Stupp, Roger, Witt, Claudia M, Chuang, Elisabeth, McKee, Melissa D, Klose, Petra, Lange, Silke, Chung, Vincent C H, Wong, Hoi L C, Wu, Xin Y, Wen, Grace Y G, Ho, Robin S T, Ching, Jessica Y L, Wu, Justin C Y, Coakley, Amanda, Flanagan, Jane, Annese, Christine, Empoliti, Joanne, Gao, Zishan, Liu, Xugang, Yu, Shuguang, Yan, Xianzhong, Liang, Fanrong, Hohmann, Christoph D, Steckhan, Nico, Ostermann, Thomas, Paetow, Arion, Hoff, Evelyn, Hu, Xiao-Yang, Wu, Ruo-Han, Logue, Martin, Blonde, Clara, Lai, Lily Y, Stuart, Beth, Fei, Yu-Tong, Moore, Michael, Liu, Jian-Ping, Jeitler, Michael, Zillgen, Hannah, Högl, Manuel, Stöckigt, Barbara, Seifert, Georg, Kessler, Christian, Khadivzadeh, Talat, Bashtian, Maryam H, Aval, Shapour B, Esmaily, Habibollah, Kim, Jihye, Kim, Keun H, Klocke, Carina, Joos, Stefanie, Koshak, Abdulrahman, Wie, Li, Koshak, Emad, Wali, Siraj, Alamoudi, Omer, Demerdash, Abdulrahman, Qutub, Majdy, Pushparaj, Peter, Kruse, Sigrid, Fischer, Isabell, Tremel, Nadine, Rosenecker, Joseph, Leung, Brenda, Takeda, Wendy, Liang, Ning, Feng, Xue, Liu, Jian-ping, Cao, Hui-juan, Shinday, Nina, Philpotts, Lisa, Park, Elyse, Fricchione, Gregory L, Yeh, Gloria, Munk, Niki, Zakeresfahani, Arash, Foote, Trevor R, Ralston, Rick, Boulanger, Karen, Özbe, Dominik, Gräßel, Elmar, Luttenberger, Katharina, Pendergrass, Anna, Pach, Daniel, Strobl, Judit, Chang, Yinhui, Pasura, Laura, Liu, Bin, Jäger, Sven F, Loerch, Ronny, Jin, Li, Icke, Katja, Shi, Xuemin, Paul, Friedemann, Rütz, Michaela, Lynen, Andreas, Schömitz, Meike, Vahle, Maik, Salomon, Nir, Lang, Alon, Lahat, Adi, Kopylov, Uri, Horin, Shomron, Noi, Ofir, Avidan, Benjamin, Elyakim, Rami, Gamus, Dorit, NG, Siew, Chang, Jessica, Wu, Justin, Kaimiklotis, John, Schumann, Dania, Buttó, Ludovica, Haller, Dirk, Smith, Caroline, Lacey, Sheryl, Chapman, Michael, Ratcliffe, Julie, Johnson, Neil, Lyttleton, Jane, Boothroyd, Clare, Fahey, Paul, Tjaden, Bram, Vliet, Marja, Wietmarschen, Herman, Tröger, Wilfried, Vuolanto, Pia, Aarva, Paulina, Sorsa, Minna, Helin, Kaija, Wenzel, Claudia, Zoderer, Iris, Pammer, Patricia, Simon, Patrick, Tucek, Gerhard, Wode, Kathrin, Henriksson, Roger, Sharp, Lena, Stoltenberg, Anna, ying, Yang, Wang, Li-qiong, Li, Jin-gen, Wang, Ying, Balneaves, Lynda, Capler, Rielle, Bocci, Chiara, Guffi, Marta, Paolini, Marina, Meaglia, Ilaria, Porcu, Patrizia, Ivaldi, Giovanni B, Dragan, Simona, Bucuras, Petru, Pah, Ana M, Petrescu, Marius, Buleu, Florina, Stoichescu, Gheorghe, Christodorescu, Ruxandra, Kao, Lan, Cho, Yumin, Klafke, Nadja, Mahler, Cornelia, von Hagens, Cornelia, Uhlmann, Lorenz, Bentner, Martina, Schneeweiß, Andreas, Mueller, Andreas, Szecsenyi, Joachim, Neri, Isabella, Schnabel, Katharina, Cree, Margit, Suhr, Ralf, Baccetti, Sonia, Firenzuoli, Fabio, Monechi, Maria V, Stefano, Mariella, Amunni, Gianni, Wong, Wendy, Chen, Bingzhong, Amri, Hakima, Kotlyanskaya, Lucy, Anderson, Belinda, Evans, Roni, Marantz, Paul, Bradley, Ryan, LaForce, Cathryn, Zwickey, Heather, Kligler, Benjamin, Brooks, Audrey, Kreitzer, Mary J, Lebensohn, Patricia, Goldblatt, Elisabeth, Esmel, Neus, Herrera, Maria, Jocham, Alexandra, Berberat, Pascal O, Schneider, Antonius, Masetti, Morgana, Murakozy, Henriette, Agdal, Rita, Atarzadeh, Fatemeh, Jaladat, Amir M, Hoseini, Leila, Amini, Fatemeh, Bai, Chen, Liu, Tiegang, Zheng, Zian, Wan, Yuxiang, Xu, Jingnan, Wang, Xuan, Yu, He, Gu, Xiaohong, Daneshfard, Babak, Nimrouzi, Majid, Tafazoli, Vahid, Alorizi, Seyed M E, Saghebi, Seyed A, Fattahi, Mohammad R, Salehi, Alireza, Rezaeizadeh, Hossein, Zarshenas, Mohammad M, Fox, Kealoha, Hughes, John, Kostanjsek, Nenad, Espinosa, Stéphane, Fisher, Peter, Latif, Abdul, Lefeber, Donald, Paske, William, Öztürk, Ali Ö, Öztürk, Gizemnur, Tissing, Wim, Naafs, Marianne, Busch, Martine, Sanaye, Mohammad R, Dräger, Kilian, Leininger, Brent, Shafto, Kate, Breen, Jenny, Wüst, Ana P, Puigmartí, Carolina, Dongen, Martien, Dagnelie, Pieter, Thijs, Carel, White, Shelley, Wiesener, Solveig, Salamonsen, Anita, Stub, Trine, Abanades, Sergio, Blanco, Mar, Masllorens, Laia, Sala, Roser, Ahnoumy, Shafekah, Han, Dongwoon, He, Luzhu, Kim, Ha Y, Choi, Da, Alræk, Terje, Kristoffersen, Agnete, Sceidt, Christel, Bruset, Stig, Musial, Frauke, Saha, Felix J, Haller, Heidemarie, Azizi, Hoda, Khadem, Nayereh, Hassanzadeh, Malihe, Estiri, Nazanin, Azizi, Hamideh, Tavassoli, Fatemeh, Lotfalizadeh, Marzieh, Zabihi, Reza, Shabestari, Mahmoud M, Paeizi, Reza, Azari, Masoumeh A, Taghanaki, Hamidreza, Baars, Erik, Bruin, Anja, Ponstein, Anne, Segantini, Sergio, Voller, Fabio, Barth, Jürgen, Kern, Alexandra, Lüthi, Sebastian, Zieger, Anja, Otto, Fabius, Beccia, Ariel, Dunlap, Corina, Courneene, Brendan, Bedregal, Paula, Passi, Alvaro, Rodríguez, Alfredo, Chang, Mayling, Gutiérrez, Soledad, Beissner, Florian, Preibisch, Christine, Arau, Annemarie, Popovici, Roxana, Meissner, Karin, Beljanski, Sylvie, Belland, Laura, Reyes, Laura, Hwang, Ula, Sethe, Dominik, Hilgard, Dörte, Heusser, Peter, Bishop, Felicity, Abbadey, Miznah, Bradbury, Katherine, Carnes, Dawn, Dimitrov, Borislav, Fawkes, Carol, Foster, Jo, MacPherson, Hugh, Roberts, Lisa, Yardley, Lucy, Holmes, Michelle, Little, Paul, Cooper, Cyrus, Bogani, Patrizia, Maggini, Valentina, Gallo, Eugenia, Miceli, Elisangela, Biffi, Sauro, Mengoni, Alessio, Fani, Renato, Guendling, Nadine, Guendling, Peter W, Bronfort, Gert, Haas, Mitch, Schulz, Craig, Bu, Xiangwei, Wang, J., Fang, T., Shen, Z., He, Y., Zhang, X., Zhang, Zhengju, Wang, Dali, Meng, Fengxian, Baumann, Klaus, Frick, Eckhard, Jacobs, Christoph, Grünther, Ralph-Achim, Lötzke, Désirée, Jung, Sonny, Recchia, Daniela R, Robens, Sibylle, Stankewitz, Josephin, Jeitler, Mika, Cheon, Chunhoo, Jang, Bo H, Ko, Seong G, Huang, Ching W, Sasaki, Yui, Ko, Youme, Cheshire, Anna, Ridge, Damien, Peters, David, Panagioti, Maria, Simon, Chantal, Cho, Hyun J, Choi, Soo J, Jung, Young S, Im, Hyea B, Cooley, Kieran, Simmons, Laura, Wasson, Rachel, Kraemer, Kristen, Sears, Richard, Hueber, Carly, Derk, Gwendolyn, Lill, JR, An, Ruopeng, Steinberg, Lois, Rodriguez, Lourdes D, Fuente, Francisca G, Vega, Miguel, Román, Keyla, Ruiz, Jonatan, Villanueva, Irene, Fuente, Francisca, Guerrero, Fanny, Castillo, Noelia, Saez, Gualberto, Jimenez, José I, Gomez, Olga, Muñoz, Luis, Diez, Camino, Dicen, Demijon, Diezel, Helene, Frawley, Jane, Broom, Alex, Dong, Fei, Ma, Xueyan, Yan, Liyi, Wu, Liqun, Ma, Jiaju, Zhen, Jianhua, Dubois, Julie, Rodondi, Pierre-Yves, Schwartze, Sophia, Trapp, Barbara, Cysarz, Dirk, Brinkhaus, Benno, Falkenberg, Torkel, Haramati, Aviad, Willich, Stefan N, Briggs, Josephine P, Willcox, Merlin, Linde, Klaus, Theorell, Töres, Wong, Lisa M, Dusek, Jeffrey, Wu, Darong, Eisenberg, David, Berger, Bettina, Kemper, Kathi, Schröer, Beate, Klein, Hedda, Ferreri, Rosaria, Kaplan, Gary, Matthes, Harald, Rotter, Gabriele, Schiff, Elad, Arnon, Zahi, Hahn, Eckhard, Luberto, Christina M, Martin, David, Schwarz, Silke, Tauschel, Diethard, Flower, Andrew, Gramminger, Harsha, Gupta, Hedwig H, Gupta, S. N, Kerckhoff, Annette, Kessler, Christian S, Michalsen, Andreas, Kim, Eun S, Jang, Eun H, Kim, Rana, Jan, Sae B, Mittwede, Martin, Mohme, Wiebke, Arye, Eran, Bonucci, Massimo, Saad, Bashar, Breitkreuz, Thomas, Rossi, Elio, Kebudi, Rejin, Daher, Michel, Razaq, Samaher, Gafer, Nahla, Nimri, Omar, Hablas, Mohamed, Kienle, Gunver S, Samuels, Noah, Silbermann, Michael, Bandelin, Lena, Lang, Anna-Lena, Wartner, Eva, Holtermann, Christoph, Binstock, Maxwell, Riebau, Robert, Mujkanovic, Edin, Cramer, Holger, Lauche, Romy, Michalsen, Andres, Ward, Lesley, Irnich, Dominik, Stör, Wolfram, Burnstock, Geoffrey, Schaible, Hans-Georg, Ots, Thomas, Langhorst, Jost, Sundberg, Tobias, Amarell, Catherina, Anheyer, Melanie, Eckert, Marion, Ogal, Mercedes, Schönauer, Annette, Reisenberger, Birgit, Brand, Bernhard, Anheyer, Dennis, Dobos, Gustav, Kroez, Matthias, Ammendola, Aldo, Mao, Jun J, Witt, Claudia, Yang, Yufei, Oritz, Miriam, Horneber, Markus, Voiß, Petra, Rosenstiel, Alexandra, Amarell, Catharina, Schad, Friedemann, Schläppi, Marc, Kröz, Matthias, Büssing, Arndt, Sela, Gil, Avshalomov, David, Attias, Samuel, Cotton, Sian, Jong, Miek, Jong, Mats, Scheffer, Christian, Edelhäuser, Friedrich, AlBedah, Abdullah, Lee, Myeong S, Khalil, Mohamed, Ogawa, Keiko, Motoo, Yoshiharu, Arimitsu, Junsuke, Ogawa, Masao, Shimizu, Genki, Stange, Rainer, Kraft, Karin, Kuchta, Kenny, Watanabe, Kenji, Bonin, D, Gruber, Harald, Koch, Sabine, Pohlmann, Urs, Caldwell, Christine, Krantz, Barbara, Kortum, Ria, Martin, Lily, Wieland, Lisa S, Kligler, Ben, Fogerite, Susan, Zhang, Yuqing, Riva, John J, Lumpkin, Michael, Ratner, Emily, Ping, Liu, Jian, Pei, Hamme, Gesa-Meyer, Mao, Xiaosong, Chouping, Han, Schröder, Sven, Hummelsberger, Josef, Wullinger, Michael, Brodzky, Marc, Zalpour, Christoff, Langley, Julia, Weber, Wendy, Mudd, Lanay M, Wayne, Peter, Witt, Clauda, Weidenhammer, Wolfgang, Fønnebø, Vinjar, Boon, Heather, Steel, Amie, Bugarcic, Andrea, Rangitakatu, Melisa, Adams, Jon, Sibbritt, David, Wardle, Jon, Leach, Matthew, Schloss, Janet, Dieze, Helene, Ijaz, Nadine, Heinrich, Michael, Lewith, George, Graz, Bertrand, Adam, Daniela, Grabenhenrich, Linus, Ortiz, Miriam, Binting, Sylvia, Reinhold, Thomas, Andermo, Susanne, Nordberg, Johanna H, Arman, Maria, Bhasin, Manoj, Fan, Xueyi, Libermann, Towia, Fricchione, Gregory, Denninger, John, Benson, Herbert, Martin, David D, Boers, Inge, Vlieger, Arine, Teut, Michael, Ullmann, Alexander, Lotz, Fabian, Roll, Stephanie, Canella, Claudia, Mikolasek, Michael, Rostock, Matthias, Beyer, Jörg, Guckenberger, Matthias, Jenewein, Josef, Linka, Esther, Six, Claudia, Stoll, Sarah, Stupp, Roger, Witt, Claudia M, Chuang, Elisabeth, McKee, Melissa D, Klose, Petra, Lange, Silke, Chung, Vincent C H, Wong, Hoi L C, Wu, Xin Y, Wen, Grace Y G, Ho, Robin S T, Ching, Jessica Y L, Wu, Justin C Y, Coakley, Amanda, Flanagan, Jane, Annese, Christine, Empoliti, Joanne, Gao, Zishan, Liu, Xugang, Yu, Shuguang, Yan, Xianzhong, Liang, Fanrong, Hohmann, Christoph D, Steckhan, Nico, Ostermann, Thomas, Paetow, Arion, Hoff, Evelyn, Hu, Xiao-Yang, Wu, Ruo-Han, Logue, Martin, Blonde, Clara, Lai, Lily Y, Stuart, Beth, Fei, Yu-Tong, Moore, Michael, Liu, Jian-Ping, Jeitler, Michael, Zillgen, Hannah, Högl, Manuel, Stöckigt, Barbara, Seifert, Georg, Kessler, Christian, Khadivzadeh, Talat, Bashtian, Maryam H, Aval, Shapour B, Esmaily, Habibollah, Kim, Jihye, Kim, Keun H, Klocke, Carina, Joos, Stefanie, Koshak, Abdulrahman, Wie, Li, Koshak, Emad, Wali, Siraj, Alamoudi, Omer, Demerdash, Abdulrahman, Qutub, Majdy, Pushparaj, Peter, Kruse, Sigrid, Fischer, Isabell, Tremel, Nadine, Rosenecker, Joseph, Leung, Brenda, Takeda, Wendy, Liang, Ning, Feng, Xue, Liu, Jian-ping, Cao, Hui-juan, Shinday, Nina, Philpotts, Lisa, Park, Elyse, Fricchione, Gregory L, Yeh, Gloria, Munk, Niki, Zakeresfahani, Arash, Foote, Trevor R, Ralston, Rick, Boulanger, Karen, Özbe, Dominik, Gräßel, Elmar, Luttenberger, Katharina, Pendergrass, Anna, Pach, Daniel, Strobl, Judit, Chang, Yinhui, Pasura, Laura, Liu, Bin, Jäger, Sven F, Loerch, Ronny, Jin, Li, Icke, Katja, Shi, Xuemin, Paul, Friedemann, Rütz, Michaela, Lynen, Andreas, Schömitz, Meike, Vahle, Maik, Salomon, Nir, Lang, Alon, Lahat, Adi, Kopylov, Uri, Horin, Shomron, Noi, Ofir, Avidan, Benjamin, Elyakim, Rami, Gamus, Dorit, NG, Siew, Chang, Jessica, Wu, Justin, Kaimiklotis, John, Schumann, Dania, Buttó, Ludovica, Haller, Dirk, Smith, Caroline, Lacey, Sheryl, Chapman, Michael, Ratcliffe, Julie, Johnson, Neil, Lyttleton, Jane, Boothroyd, Clare, Fahey, Paul, Tjaden, Bram, Vliet, Marja, Wietmarschen, Herman, Tröger, Wilfried, Vuolanto, Pia, Aarva, Paulina, Sorsa, Minna, Helin, Kaija, Wenzel, Claudia, Zoderer, Iris, Pammer, Patricia, Simon, Patrick, Tucek, Gerhard, Wode, Kathrin, Henriksson, Roger, Sharp, Lena, Stoltenberg, Anna, ying, Yang, Wang, Li-qiong, Li, Jin-gen, Wang, Ying, Balneaves, Lynda, Capler, Rielle, Bocci, Chiara, Guffi, Marta, Paolini, Marina, Meaglia, Ilaria, Porcu, Patrizia, Ivaldi, Giovanni B, Dragan, Simona, Bucuras, Petru, Pah, Ana M, Petrescu, Marius, Buleu, Florina, Stoichescu, Gheorghe, Christodorescu, Ruxandra, Kao, Lan, Cho, Yumin, Klafke, Nadja, Mahler, Cornelia, von Hagens, Cornelia, Uhlmann, Lorenz, Bentner, Martina, Schneeweiß, Andreas, Mueller, Andreas, Szecsenyi, Joachim, Neri, Isabella, Schnabel, Katharina, Cree, Margit, Suhr, Ralf, Baccetti, Sonia, Firenzuoli, Fabio, Monechi, Maria V, Stefano, Mariella, Amunni, Gianni, Wong, Wendy, Chen, Bingzhong, Amri, Hakima, Kotlyanskaya, Lucy, Anderson, Belinda, Evans, Roni, Marantz, Paul, Bradley, Ryan, LaForce, Cathryn, Zwickey, Heather, Kligler, Benjamin, Brooks, Audrey, Kreitzer, Mary J, Lebensohn, Patricia, Goldblatt, Elisabeth, Esmel, Neus, Herrera, Maria, Jocham, Alexandra, Berberat, Pascal O, Schneider, Antonius, Masetti, Morgana, Murakozy, Henriette, Agdal, Rita, Atarzadeh, Fatemeh, Jaladat, Amir M, Hoseini, Leila, Amini, Fatemeh, Bai, Chen, Liu, Tiegang, Zheng, Zian, Wan, Yuxiang, Xu, Jingnan, Wang, Xuan, Yu, He, Gu, Xiaohong, Daneshfard, Babak, Nimrouzi, Majid, Tafazoli, Vahid, Alorizi, Seyed M E, Saghebi, Seyed A, Fattahi, Mohammad R, Salehi, Alireza, Rezaeizadeh, Hossein, Zarshenas, Mohammad M, Fox, Kealoha, Hughes, John, Kostanjsek, Nenad, Espinosa, Stéphane, Fisher, Peter, Latif, Abdul, Lefeber, Donald, Paske, William, Öztürk, Ali Ö, Öztürk, Gizemnur, Tissing, Wim, Naafs, Marianne, Busch, Martine, Sanaye, Mohammad R, Dräger, Kilian, Leininger, Brent, Shafto, Kate, Breen, Jenny, Wüst, Ana P, Puigmartí, Carolina, Dongen, Martien, Dagnelie, Pieter, Thijs, Carel, White, Shelley, Wiesener, Solveig, Salamonsen, Anita, Stub, Trine, Abanades, Sergio, Blanco, Mar, Masllorens, Laia, Sala, Roser, Ahnoumy, Shafekah, Han, Dongwoon, He, Luzhu, Kim, Ha Y, Choi, Da, Alræk, Terje, Kristoffersen, Agnete, Sceidt, Christel, Bruset, Stig, Musial, Frauke, Saha, Felix J, Haller, Heidemarie, Azizi, Hoda, Khadem, Nayereh, Hassanzadeh, Malihe, Estiri, Nazanin, Azizi, Hamideh, Tavassoli, Fatemeh, Lotfalizadeh, Marzieh, Zabihi, Reza, Shabestari, Mahmoud M, Paeizi, Reza, Azari, Masoumeh A, Taghanaki, Hamidreza, Baars, Erik, Bruin, Anja, Ponstein, Anne, Segantini, Sergio, Voller, Fabio, Barth, Jürgen, Kern, Alexandra, Lüthi, Sebastian, Zieger, Anja, Otto, Fabius, Beccia, Ariel, Dunlap, Corina, Courneene, Brendan, Bedregal, Paula, Passi, Alvaro, Rodríguez, Alfredo, Chang, Mayling, Gutiérrez, Soledad, Beissner, Florian, Preibisch, Christine, Arau, Annemarie, Popovici, Roxana, Meissner, Karin, Beljanski, Sylvie, Belland, Laura, Reyes, Laura, Hwang, Ula, Sethe, Dominik, Hilgard, Dörte, Heusser, Peter, Bishop, Felicity, Abbadey, Miznah, Bradbury, Katherine, Carnes, Dawn, Dimitrov, Borislav, Fawkes, Carol, Foster, Jo, MacPherson, Hugh, Roberts, Lisa, Yardley, Lucy, Holmes, Michelle, Little, Paul, Cooper, Cyrus, Bogani, Patrizia, Maggini, Valentina, Gallo, Eugenia, Miceli, Elisangela, Biffi, Sauro, Mengoni, Alessio, Fani, Renato, Guendling, Nadine, Guendling, Peter W, Bronfort, Gert, Haas, Mitch, Schulz, Craig, Bu, Xiangwei, Wang, J., Fang, T., Shen, Z., He, Y., Zhang, X., Zhang, Zhengju, Wang, Dali, Meng, Fengxian, Baumann, Klaus, Frick, Eckhard, Jacobs, Christoph, Grünther, Ralph-Achim, Lötzke, Désirée, Jung, Sonny, Recchia, Daniela R, Robens, Sibylle, Stankewitz, Josephin, Jeitler, Mika, Cheon, Chunhoo, Jang, Bo H, Ko, Seong G, Huang, Ching W, Sasaki, Yui, Ko, Youme, Cheshire, Anna, Ridge, Damien, Peters, David, Panagioti, Maria, Simon, Chantal, Cho, Hyun J, Choi, Soo J, Jung, Young S, Im, Hyea B, Cooley, Kieran, Simmons, Laura, Wasson, Rachel, Kraemer, Kristen, Sears, Richard, Hueber, Carly, Derk, Gwendolyn, Lill, JR, An, Ruopeng, Steinberg, Lois, Rodriguez, Lourdes D, Fuente, Francisca G, Vega, Miguel, Román, Keyla, Ruiz, Jonatan, Villanueva, Irene, Fuente, Francisca, Guerrero, Fanny, Castillo, Noelia, Saez, Gualberto, Jimenez, José I, Gomez, Olga, Muñoz, Luis, Diez, Camino, Dicen, Demijon, Diezel, Helene, Frawley, Jane, Broom, Alex, Dong, Fei, Ma, Xueyan, Yan, Liyi, Wu, Liqun, Ma, Jiaju, Zhen, Jianhua, Dubois, Julie, Rodondi, Pierre-Yves, Schwartze, Sophia, Trapp, Barbara, and Cysarz, Dirk

Published
2017
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8. Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol.

Author

Wu, Darong, Akl, Elie A, Guyatt, Gordon H, Devereaux, Philip J, Brignardello-Petersen, Romina, Prediger, Barbara, Patel, Krupesh, Patel, Namrata, Lu, Taoying, Zhang, Yuan, Falavigna, Maicon, Santesso, Nancy, Mustafa, Reem A, Zhou, Qi, Briel, Matthias, and Schünemann, Holger J

Abstract

Background: Although even randomization (that is, approximately 1:1 randomization ratio in study arms) provides the greatest statistical power, designed uneven randomization (DUR), (for example, 1:2 or 1:3) is used to increase participation rates. Until now, no convincing data exists addressing the impact of DUR on participation rates in trials. The objective of this study is to evaluate the epidemiology and to explore factors associated with DUR.Methods: We will search for reports of RCTs published within two years in 25 general medical journals with the highest impact factor according to the Journal Citation Report (JCR)-2010. Teams of two reviewers will determine eligibility and extract relevant information from eligible RCTs in duplicate and using standardized forms. We will report the prevalence of DUR trials, the reported reasons for using DUR, and perform a linear regression analysis to estimate the association between the randomization ratio and the associated factors, including participation rate, type of informed consent, clinical area, and so on.Discussion: A clearer understanding of RCTs with DUR and its association with factors in trials, for example, participation rate, can optimize trial design and may have important implications for both researchers and users of the medical literature. [ABSTRACT FROM AUTHOR]

Published
2014
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9. Development and initial validation of a Traditional Chinese Medicine symptom-specific outcome measure: a Zheng-related atopic dermatitis symptom questionnaire (ZRADSQ).

Author

Wu, Darong, Huang, Chujun, Mo, Xiumei, Liu, Junfeng, Cai, Jianxiong, Liu, Chi, Zhu, Haili, Li, Hongyi, and Chen, Dacan

Abstract

Background: Zheng represents pattern differentiation in Traditional Chinese Medicine (TCM), as the basic unit and a key concept in TCM therapeutic theory, is based on the physiology and pathology of TCM. None of the outcome measurements of atopic dermatitis (AD) are Zheng-specific. The effectiveness of TCM is likely to be underestimated without a Zheng-related symptom-specific instrument. The aim of this study was to develop an instrument for measuring the Zheng-related symptom-specific status of patients with AD.Methods: We followed standard methodology to develop the instrument, including item generation and selection, item reduction and presentation, and pretesting, and recruited 188 patients with AD involved in a six-center randomized-controlled trial (ChiCTR-TRC-08000156) to validate the questionnaire. We conducted construct validity, reliability, and responsiveness analysis. The standardized effect size (SES) and standardized response mean (SRM) were used to calculate the responsiveness of additional items and the total score for the rating items.Results: ZRADSQ has 15 items, with 12 rating items and 3 additional items. The 12 rating items fall within three domains: AD symptoms (n = 6 items); Heat (n = 4 items) and Mood (n = 2 items). Confirmatory factor analysis provided good support for a three-factor model (d.f. = 51, x2=97.11, RMSEA = 0.07, CFI = 0.96), and the Pearson's correlation coefficient between ZRADSQ and Severity Scoring of Atopic Dermatitis (SCORAD) was 0.40 (P < 0.001). The reliability was also good, with a Cronbach's alpha value for ZRADSQ of 0.84, a split-half coefficient of 0.75, and a test-retest reliability coefficient of 0.98. The standardized effect size and standardized response mean were close to or larger than 1, which indicated moderate to good responsiveness.Conclusions: The ZRADSQ demonstrates promising reliability, validity, and responsiveness. It can be used to determine whether Zheng-specific or symptom-specific treatments relieve the symptom that is most bothersome the patient. [ABSTRACT FROM AUTHOR]

Published
2013
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10. Comparative effectiveness research on patients with acute ischemic stroke using Markov decision processes.

Author

Wu, Darong, Cai, Yefeng, Cai, Jianxiong, Liu, Qiuli, Zhao, Yuanqi, Cai, Jingheng, Zhao, Min, Huang, Yonghui, Ye, Liuer, Lu, Yubo, and Guo, Xianping

Abstract

Background: Several methodological issues with non-randomized comparative clinical studies have been raised, one of which is whether the methods used can adequately identify uncertainties that evolve dynamically with time in real-world systems. The objective of this study is to compare the effectiveness of different combinations of Traditional Chinese Medicine (TCM) treatments and combinations of TCM and Western medicine interventions in patients with acute ischemic stroke (AIS) by using Markov decision process (MDP) theory. MDP theory appears to be a promising new method for use in comparative effectiveness research.Methods: The electronic health records (EHR) of patients with AIS hospitalized at the 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine between May 2005 and July 2008 were collected. Each record was portioned into two "state-action-reward" stages divided by three time points: the first, third, and last day of hospital stay. We used the well-developed optimality technique in MDP theory with the finite horizon criterion to make the dynamic comparison of different treatment combinations.Results: A total of 1504 records with a primary diagnosis of AIS were identified. Only states with more than 10 (including 10) patients' information were included, which gave 960 records to be enrolled in the MDP model. Optimal combinations were obtained for 30 types of patient condition.Conclusion: MDP theory makes it possible to dynamically compare the effectiveness of different combinations of treatments. However, the optimal interventions obtained by the MDP theory here require further validation in clinical practice. Further exploratory studies with MDP theory in other areas in which complex interventions are common would be worthwhile. [ABSTRACT FROM AUTHOR]

Published
2012
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11. High resolution analysis of the human transcriptome: detection of extensive alternative splicing independent of transcriptional activity.

Author

Zhou W, Calciano MA, Jordan H, Brenner M, Johnson S, Wu D, Lei L, Pallares D, Beurdeley P, Rouet F, Gill PS, Bracco L, Soucaille C, and Einstein R

Subjects
Genomics, Humans, Sequence Analysis, DNA, Transcription, Genetic, Alternative Splicing, Gene Expression Profiling methods, Genome, Human, Oligonucleotide Array Sequence Analysis methods
Abstract

Background: Commercially available microarrays have been used in many settings to generate expression profiles for a variety of applications, including target selection for disease detection, classification, profiling for pharmacogenomic response to therapeutics, and potential disease staging. However, many commercially available microarray platforms fail to capture transcript diversity produced by alternative splicing, a major mechanism for driving proteomic diversity through transcript heterogeneity., Results: The human Genome-Wide SpliceArray(TM) (GWSA), a novel microarray platform, utilizes an existing probe design concept to monitor such transcript diversity on a genome scale. The human GWSA allows the detection of alternatively spliced events within the human genome through the use of exon body and exon junction probes to provide a direct measure of each transcript, through simple calculations derived from expression data. This report focuses on the performance and validation of the array when measured against standards recently published by the Microarray Quality Control (MAQC) Project. The array was shown to be highly quantitative, and displayed greater than 85% correlation with the HG-U133 Plus 2.0 array at the gene level while providing more extensive coverage of each gene. Almost 60% of splice events among genes demonstrating differential expression of greater than 3 fold also contained extensive splicing alterations. Importantly, almost 10% of splice events within the gene set displaying constant overall expression values had evidence of transcript diversity. Two examples illustrate the types of events identified: LIM domain 7 showed no differential expression at the gene level, but demonstrated deregulation of an exon skip event, while erythrocyte membrane protein band 4.1 -like 3 was differentially expressed and also displayed deregulation of a skipped exon isoform., Conclusion: Significant changes were detected independent of transcriptional activity, indicating that the controls for transcript generation and transcription are distinct, and require novel tools in order to detect changes in specific transcript quantity. Our results demonstrate that the SpliceArray(TM) design will provide researchers with a robust platform to detect and quantify specific changes not only in overall gene expression, but also at the individual transcript level.

Published
2009
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12. Further validation of the Health Scale of Traditional Chinese Medicine (HSTCM).

Author

Wu D, Lai S, Zhou L, Guo X, Liang W, Wen Z, Ou A, Zhang G, and Chen K

Abstract

Background: Few health measurement scales are based on Chinese medicine theory. The Health Scale of Traditional Chinese Medicine (HSTCM) was developed to fill this gap. The aim of this study is to validate the HSTCM., Methods: A convenience sample of 630 participants was recruited in 11 settings. All participants were asked to complete the HSTCM and World Health Organization Quality of Life Measure-Abbreviated Version (WHOQOL-BREF)., Results: Properties of the HSTCM were tested. Intra-class correlation coefficient representing the inter-interviewer reliability was 0.99 (95%CI) for the overall instrument. Spearman-Brown correlation coefficient and Cronbach's coefficient alpha were 0.81 and 0.94 respectively, indicating satisfactory internal reliability and inter-interviewer reliability. Spearman's rho correlation coefficient between the HSTCM and WHOQOL-BREFF was -0.67. A receiver operating characteristic (ROC) curve analysis was performed to test the discriminate validation. Areas under the ROC curve analysis for the HSTCM and its domains ranged 0.71-0.87 and all the lower levels of 95%CI were greater than 0.50., Conclusion: The HSTCM was validated as a generic health scale and may complement existing health measurement scales in Chinese medicine health care.

Published
2009
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