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STARGATE: reconstructed Kaplan–Meier curves

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

Randomized phase II study of capecitabine plus cisplatin with or without sorafenib in patients with metastatic gastric cancer (STARGATE). Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationCancer Med. 2022 Dec 14;12(7):7784–94. doi: 10.1002/cam4.5536
DOI10.1002/cam4.5536
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Source licenceFigure published under CC BY 4.0

Progression-free survival (blinded central radiologic review)

From figure panel A · validated against the values printed on the figure · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: S+XP 5.5 months; XP 5.3 months. Survival at 6 months: S+XP 43%; XP 36%. Hazard ratio S+XP vs XP 0.89 (95% CI 0.64–1.22).

0%20%40%60%80%100%024681012141618MonthsS+XPXP
ArmNEventsMedian (Months)
S+XP97765.5
XP98785.3

Landmark survival (reconstructed)

TimeS+XPXP
6 mo42.9%36.2%
12 mo9.7%3.3%
18 mo4.2%—

Checks against the published figure

Download pseudo-IPD (CSV)

Overall survival

From figure panel B · validated against the values printed on the figure · curve source: pixel measurement confirmed by vision model

Reconstructed from the published curve. Median: XP 10.3 months; S+XP 11.7 months. Survival at 12 months: XP 43%; S+XP 49%. Hazard ratio XP vs S+XP 1.09 (95% CI 0.77–1.54).

0%20%40%60%80%100%0369121518212427MonthsXPS+XP
ArmNEventsMedian (Months)
XP986310.3
S+XP976611.7

Landmark survival (reconstructed)

TimeXPS+XP
6 mo80.0%80.4%
12 mo43.3%48.7%
18 mo21.7%27.1%
24 mo15.4%16.5%

Checks against the published figure

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/stargate-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/stargate-1.csv")
for arm, g in d.groupby("arm"):
    KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()

Suggested citation: Cancer Med. 2022 Dec 14;12(7):7784–94. doi: 10.1002/cam4.5536 doi:10.1002/cam4.5536. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/stargate

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