TY - JOUR
T1 - Are we ready to predict late effects? A systematic review of clinically useful prediction models
AU - Salz, Talya
AU - Baxi, Shrujal S.
AU - Raghunathan, Nirupa
AU - Onstad, Erin E.
AU - Freedman, Andrew N.
AU - Moskowitz, Chaya S.
AU - Dalton, Susanne Oksbjerg
AU - Goodman, Karyn A.
AU - Johansen, Christoffer
AU - Matasar, Matthew J.
AU - De Nully Brown, Peter
AU - Oeffinger, Kevin C.
AU - Vickers, Andrew J.
PY - 2015/4
Y1 - 2015/4
N2 - Background After completing treatment for cancer, survivors may experience late effects: consequences of treatment that persist or arise after a latent period. Purpose To identify and describe all models that predict the risk of late effects and could be used in clinical practice. Data sources We searched Medline through April 2014. Study selection Studies describing models that (1) predicted the absolute risk of a late effect present at least 1 year post-treatment, and (2) could be used in a clinical setting. Data extraction Three authors independently extracted data pertaining to patient characteristics, late effects, the prediction model and model evaluation. Data synthesis Across 14 studies identified for review, nine late effects were predicted: erectile dysfunction and urinary incontinence after prostate cancer; arm lymphoedema, psychological morbidity, cardiomyopathy or heart failure and cardiac event after breast cancer; swallowing dysfunction after head and neck cancer; breast cancer after Hodgkin lymphoma and thyroid cancer after childhood cancer. Of these, four late effects are persistent effects of treatment and five appear after a latent period. Two studies were externally validated. Six studies were designed to inform decisions about treatment rather than survivorship care. Nomograms were the most common clinical output. Conclusion Despite the call among survivorship experts for risk stratification, few published models are useful for risk-stratifying prevention, early detection or management of late effects. Few models address serious, modifiable late effects, limiting their utility. Cancer survivors would benefit from models focused on long-term, modifiable and serious late effects to inform the management of survivorship care.
AB - Background After completing treatment for cancer, survivors may experience late effects: consequences of treatment that persist or arise after a latent period. Purpose To identify and describe all models that predict the risk of late effects and could be used in clinical practice. Data sources We searched Medline through April 2014. Study selection Studies describing models that (1) predicted the absolute risk of a late effect present at least 1 year post-treatment, and (2) could be used in a clinical setting. Data extraction Three authors independently extracted data pertaining to patient characteristics, late effects, the prediction model and model evaluation. Data synthesis Across 14 studies identified for review, nine late effects were predicted: erectile dysfunction and urinary incontinence after prostate cancer; arm lymphoedema, psychological morbidity, cardiomyopathy or heart failure and cardiac event after breast cancer; swallowing dysfunction after head and neck cancer; breast cancer after Hodgkin lymphoma and thyroid cancer after childhood cancer. Of these, four late effects are persistent effects of treatment and five appear after a latent period. Two studies were externally validated. Six studies were designed to inform decisions about treatment rather than survivorship care. Nomograms were the most common clinical output. Conclusion Despite the call among survivorship experts for risk stratification, few published models are useful for risk-stratifying prevention, early detection or management of late effects. Few models address serious, modifiable late effects, limiting their utility. Cancer survivors would benefit from models focused on long-term, modifiable and serious late effects to inform the management of survivorship care.
KW - Decision support techniques
KW - Neoplasms
KW - Risk
KW - Secondary prevention
KW - Survivors
UR - http://www.scopus.com/inward/record.url?scp=84925356758&partnerID=8YFLogxK
U2 - 10.1016/j.ejca.2015.02.002
DO - 10.1016/j.ejca.2015.02.002
M3 - Review
C2 - 25736818
AN - SCOPUS:84925356758
SN - 0959-8049
VL - 51
SP - 758
EP - 766
JO - European Journal of Cancer
JF - European Journal of Cancer
IS - 6
ER -