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JCOG1113 (liver cirrhosis subgroup): reconstructed Kaplan–Meier curves

Updated 2026-09-25 · reconstructed by TrialCurve from a CC BY-licensed publication

Impact of clinically diagnosed liver cirrhosis in patients with intrahepatic cholangiocarcinoma treated with systemic chemotherapy: a subgroup analysis of JCOG1113. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationJpn J Clin Oncol. 2025 Mar 7;55(6):594–602. doi: 10.1093/jjco/hyaf035
DOI10.1093/jjco/hyaf035
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Source licenceFigure published under CC BY 4.0

Overall survival

From figure panel · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: clinically diagnosed LC 17.6 months; Non-LC 13.6 months. Survival at 12 months: clinically diagnosed LC 80%; Non-LC 56%. Hazard ratio Non-LC vs clinically diagnosed LC 0.96 (95% CI 0.49–1.86).

0%20%40%60%80%100%06121824303642Monthsclinically diagnosed LCNon-LC
ArmNEventsMedian (Months)
clinically diagnosed LC101017.6
Non-LC846613.6

Landmark survival (reconstructed)

Timeclinically diagnosed LCNon-LC
6 mo100.0%86.9%
12 mo80.0%56.0%
18 mo50.0%38.6%
24 mo20.0%28.7%
36 mo10.0%16.5%

Download pseudo-IPD (CSV)

Overall survival — Non-liver cirrhosis group (per caption; GC n=45 + GS n=39)

From figure panel · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: GS 15.7 months; GC 13.4 months. Survival at 12 months: GS 56%; GC 53%. Hazard ratio GS vs GC 0.93 (95% CI 0.57–1.51).

0%20%40%60%80%100%06121824303642MonthsGSGC
ArmNEventsMedian (Months)
GS393415.7
GC453313.4

Landmark survival (reconstructed)

TimeGSGC
6 mo87.2%84.4%
12 mo56.4%53.3%
18 mo40.5%36.8%
24 mo26.7%30.4%
36 mo17.3%13.0%

Download pseudo-IPD (CSV)

About these data

Pseudo-IPD reproduces the published curves and numbers at risk; the rows are not real patients. Cite the publication (DOI above) and TrialCurve. The source figure is © the authors (CC BY 4.0); the charts here are redrawn from the reconstruction.

Load these data in R or Python
# R
library(survival)
d <- read.csv("https://trialcurve.com/data/trials/jcog1113-liver-cirrhosis-subgroup-1.csv")
survfit(Surv(time, event) ~ arm, data = d)
coxph(Surv(time, event) ~ arm, data = d)

# Python
import pandas as pd
from lifelines import KaplanMeierFitter
d = pd.read_csv("https://trialcurve.com/data/trials/jcog1113-liver-cirrhosis-subgroup-1.csv")
for arm, g in d.groupby("arm"):
    KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()

Suggested citation: Jpn J Clin Oncol. 2025 Mar 7;55(6):594–602. doi: 10.1093/jjco/hyaf035 doi:10.1093/jjco/hyaf035. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/jcog1113-liver-cirrhosis-subgroup

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