Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
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00306932607174
alsfakia@gmail.com

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Παρασκευή 30 Μαρτίου 2018

Prognostic and Predictive Factors in Patients with Brain Metastases from Solid Tumors: A Review of Published Nomograms

Publication date: Available online 29 March 2018
Source:Critical Reviews in Oncology/Hematology
Author(s): Carsten Nieder, Minesh P. Mehta, Hans Geinitz, Anca L. Grosu
ObjectiveTo review published nomograms that predict endpoints such as overall survival (OS) or risk of intracranial relapse in patients with brain metastases from solid tumors.MethodsThe methods and results of nomogram studies identified by a systematic search were extracted and compared, stratified by endpoint predicted by the respective nomograms. In particular, validation strategies (external/internal), concordance indices (cut-off 0.75) and comparisons to older models were analyzed.ResultsSix publications reported on prediction of OS. Most of these analyses focused on one particular primary tumor site, e.g., breast cancer or hepatocellular carcinoma, while the largest study included different primary tumor sites. The median number of patients was 244. Three of six studies included external validation cohorts. With few exceptions, concordance indices <0.75 were reported. In all studies reporting this endpoint, the nomogram outperformed older prognostic scores. Two nomograms focused on development of new brain metastases after radiosurgery (one externally validated), one on survival free from salvage whole brain radiotherapy (WBRT) after radiosurgery, and one on neurologic and non-neurologic death in patients receiving radiosurgery after WBRT failure. All concordance indices of these 4 nomograms were <0.70.ConclusionTaking into account concordance indices and comparisons to older prognostic models, the most promising, externally validated nomograms are the breast cancer and the non-small cell lung cancer nomogram predicting OS, and the distant brain failure after radiosurgery nomogram. Additional validation studies as well as continuous monitoring of the models' performance appear necessary to ensure their clinical applicability in the present era of rapidly changing treatment paradigms.



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