TrialCurveQUARTZ: reconstructed Kaplan–Meier curves
Dexamethasone and supportive care with or without whole brain radiotherapy in treating patients with non-small cell lung cancer with brain metastases unsuitable for resection or stereotactic radiotherapy (QUARTZ): results from a phase 3, non-inferiority, randomised trial. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.
| Publication | Lancet. 2016 Oct 22;388(10055):2004–14. doi: 10.1016/S0140-6736(16)30825-X |
|---|---|
| DOI | 10.1016/S0140-6736(16)30825-X |
| Registry | — |
| Phase | — |
| Conditions | — |
| Interventions | — |
| Sponsor | — |
| Enrolment | — |
| Source licence | Figure published under CC BY 4.0 |
Overall survival from randomisation
From figure panel A · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model
Reconstructed from the published curve. Median: OSC plus WBRT 9.4 weeks; OSC alone 8.1 weeks. Survival at 8 weeks: OSC plus WBRT 55%; OSC alone 52%. Hazard ratio OSC plus WBRT vs OSC alone 0.92 (95% CI 0.77–1.09).
| Arm | N | Events | Median (Weeks) |
|---|---|---|---|
| OSC plus WBRT | 269 | 262 | 9.4 |
| OSC alone | 269 | 261 | 8.1 |
- OSC plus WBRT vs OSC alone: reconstructed HR 0.92 (95% CI 0.77–1.09)
Landmark survival (reconstructed)
| Time | OSC plus WBRT | OSC alone |
|---|---|---|
| 4 wk | 84.4% | 78.4% |
| 8 wk | 55.4% | 51.7% |
| 12 wk | 39.0% | 33.0% |
| 26 wk | 11.5% | 9.5% |
| 52 wk | 3.0% | 2.3% |
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/quartz-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/quartz-1.csv")
for arm, g in d.groupby("arm"):
KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()
Suggested citation: Lancet. 2016 Oct 22;388(10055):2004–14. doi: 10.1016/S0140-6736(16)30825-X doi:10.1016/S0140-6736(16)30825-X. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/quartz
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