| Title |
The MAPP research network: design, patient characterization and operations
|
|---|---|
| Published in |
BMC Urology, August 2014
|
| DOI | 10.1186/1471-2490-14-58 |
| Pubmed ID | |
| Authors |
J Richard Landis, David A Williams, M Scott Lucia, Daniel J Clauw, Bruce D Naliboff, Nancy A Robinson, Adrie van Bokhoven, Siobhan Sutcliffe, Anthony J Schaeffer, Larissa V Rodriguez, Emeran A Mayer, H Henry Lai, John N Krieger, Karl J Kreder, Niloofar Afari, Gerald L Andriole, Catherine S Bradley, James W Griffith, David J Klumpp, Barry A Hong, Susan K Lutgendorf, Dedra Buchwald, Claire C Yang, Sean Mackey, Michel A Pontari, Philip Hanno, John W Kusek, Chris Mullins, J Quentin Clemens, The MAPP Research Network Study Group |
| Abstract |
The "Multidisciplinary Approach to the Study of Chronic Pelvic Pain" (MAPP) Research Network was established by the NIDDK to better understand the pathophysiology of urologic chronic pelvic pain syndromes (UCPPS), to inform future clinical trials and improve clinical care. The evolution, organization, and scientific scope of the MAPP Research Network, and the unique approach of the network's central study and common data elements are described. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 1 | <1% |
| Unknown | 212 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 29% |
| Student > Ph. D. Student | 30 | 14% |
| Other | 16 | 7% |
| Student > Master | 16 | 7% |
| Student > Doctoral Student | 10 | 5% |
| Other | 38 | 17% |
| Unknown | 44 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 86 | 39% |
| Psychology | 22 | 10% |
| Nursing and Health Professions | 13 | 6% |
| Neuroscience | 12 | 6% |
| Biochemistry, Genetics and Molecular Biology | 6 | 3% |
| Other | 22 | 10% |
| Unknown | 57 | 26% |