Minimum dataset for treatment effectiveness in pyoderma gangrenosum for an international registry: an international multidisciplinary eDelphi consensus

Olivia M. Haddadin, Michael E. Jacobson, Sarah L. Becker, Diana Chen, David O. Croitoru, Joachim Dissemond, Joao Renato V Gontijo, Philip Hampton, Robert I. Kelly, Angelo V. Marzano, Yayoi Tada, Louise A.A. Gerbens, Alex G. Ortega-Loayza

Open source

DOI
10.25405/ncl.34551072.v1
Published
2026
Container
Not recorded
Publisher
Newcastle University
Open access
no

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BibTeX

@article{allodium:10.25405/ncl.34551072.v1,
  title = {Minimum dataset for treatment effectiveness in pyoderma gangrenosum for an international registry: an international multidisciplinary eDelphi consensus},
  author = {Olivia M. Haddadin and Michael E. Jacobson and Sarah L. Becker and Diana Chen and David O. Croitoru and Joachim Dissemond and Joao Renato V Gontijo and Philip Hampton and Robert I. Kelly and Angelo V. Marzano and Yayoi Tada and Louise A.A. Gerbens and Alex G. Ortega-Loayza},
  year = {2026},
  doi = {10.25405/ncl.34551072.v1},
  url = {https://doi.org/10.25405/ncl.34551072.v1}
}

RIS

TY  - JOUR
TI  - Minimum dataset for treatment effectiveness in pyoderma gangrenosum for an international registry: an international multidisciplinary eDelphi consensus
AU  - Olivia M. Haddadin
AU  - Michael E. Jacobson
AU  - Sarah L. Becker
AU  - Diana Chen
AU  - David O. Croitoru
AU  - Joachim Dissemond
AU  - Joao Renato V Gontijo
AU  - Philip Hampton
AU  - Robert I. Kelly
AU  - Angelo V. Marzano
AU  - Yayoi Tada
AU  - Louise A.A. Gerbens
AU  - Alex G. Ortega-Loayza
PY  - 2026
DO  - 10.25405/ncl.34551072.v1
UR  - https://doi.org/10.25405/ncl.34551072.v1
ER  - 

APA

Haddadin, O. M., Jacobson, M. E., Becker, S. L., Chen, D., Croitoru, D. O., Dissemond, J., Gontijo, J. R. V., Hampton, P., Kelly, R. I., Marzano, A. V., Tada, Y., Gerbens, L. A., & Ortega-Loayza, A. G. (2026). Minimum dataset for treatment effectiveness in pyoderma gangrenosum for an international registry: an international multidisciplinary eDelphi consensus. https://doi.org/10.25405/ncl.34551072.v1

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