ArticleIn vivo (Athens, Greece)
Log-transformed α-Fetoprotein and
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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8 authors.
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Abstract
BACKGROUND/
aimWe evaluated the impact of log-transformed serum α-fetoprotein (AFP) and PATIENTS AND
methodsWe examined 993 patients who underwent initial curative hepatectomy. A nomogram was constructed to predict early recurrence within 2 years using a Cox proportional hazards model (five-factor log-marker model) based on five preoperatively assessable oncological factors: log AFP, log DCP, multiple tumors, tumor size >3 cm, and macroscopic vascular invasion (MVI). Its time-dependent area under the curve (AUC) at 2 years was compared with a five-factor raw-marker model (replacing log-transformed AFP/DCP with their raw values) and a three-factor model (multiple tumors, tumor size, MVI). Performance was evaluated by time-dependent AUC, bootstrap calibration (1,000 resamples), and observed outcomes across tertiles (T1-T3) of total nomogram points.
resultsThe five-factor log-marker model (AUC 0.69) outperformed the five-factor raw-marker model (0.67,
conclusionThe nomogram developed using preoperative oncological factors enabled precise prediction of early recurrence after hepatectomy for HCC by incorporating log-transformed AFP and DCP. Our nomogram may be useful in determining treatment strategies for patients with HCC.
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