Generalisable prediction models for outcomes after lumbar spinal stenosis surgery: a model development and external validation study

Bjørnar Berg, Allan Abbott, Casper Friis Pedersen, Henrik Hedevik, Martin A. Gorosito, Henrik Lykke Joakimsen, Per Joel Burman, Karl Øyvind Mikalsen, Mikkel Østerheden Andersen, Tor Ingebrigtsen, Tore Solberg, Margreth Grotle

Open source

DOI
10.1016/j.eclinm.2026.103989
Published
2026-06
Container
eClinicalMedicine
Publisher
Elsevier BV
Open access
unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.eclinm.2026.103989,
  title = {Generalisable prediction models for outcomes after lumbar spinal stenosis surgery: a model development and external validation study},
  author = {Bjørnar Berg and Allan Abbott and Casper Friis Pedersen and Henrik Hedevik and Martin A. Gorosito and Henrik Lykke Joakimsen and Per Joel Burman and Karl Øyvind Mikalsen and Mikkel Østerheden Andersen and Tor Ingebrigtsen and Tore Solberg and Margreth Grotle},
  year = {2026},
  journal = {eClinicalMedicine},
  doi = {10.1016/j.eclinm.2026.103989},
  url = {https://doi.org/10.1016/j.eclinm.2026.103989}
}

RIS

TY  - JOUR
TI  - Generalisable prediction models for outcomes after lumbar spinal stenosis surgery: a model development and external validation study
AU  - Bjørnar Berg
AU  - Allan Abbott
AU  - Casper Friis Pedersen
AU  - Henrik Hedevik
AU  - Martin A. Gorosito
AU  - Henrik Lykke Joakimsen
AU  - Per Joel Burman
AU  - Karl Øyvind Mikalsen
AU  - Mikkel Østerheden Andersen
AU  - Tor Ingebrigtsen
AU  - Tore Solberg
AU  - Margreth Grotle
PY  - 2026
JO  - eClinicalMedicine
DO  - 10.1016/j.eclinm.2026.103989
UR  - https://doi.org/10.1016/j.eclinm.2026.103989
ER  - 

APA

Berg, B., Abbott, A., Pedersen, C. F., Hedevik, H., Gorosito, M. A., Joakimsen, H. L., Burman, P. J., Mikalsen, K. Ø., Andersen, M. Ø., Ingebrigtsen, T., Solberg, T., & Grotle, M. (2026). Generalisable prediction models for outcomes after lumbar spinal stenosis surgery: a model development and external validation study. eClinicalMedicine. https://doi.org/10.1016/j.eclinm.2026.103989

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