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SECRAB: reconstructed Kaplan–Meier curves

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

Synchronous versus sequential chemo-radiotherapy in patients with early stage breast cancer (SECRAB): A randomised, phase III, trial. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationRadiother Oncol. 2020 Jan;142:52–61. doi: 10.1016/j.radonc.2019.10.014
DOI10.1016/j.radonc.2019.10.014
RegistryNCT00003893
PhasePhase 3
ConditionsBreast Cancer
InterventionsCMF regimen, cyclophosphamide, doxorubicin hydrochloride, epirubicin hydrochloride, fluorouracil, methotrexate
SponsorUniversity Hospital Birmingham
Enrolment2250
Source licenceFigure published under CC BY 4.0

Local recurrence

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

Reconstructed from the published curve. Cumulative incidence at 3 years: Synchronous (CT-RT-CT) 2%; Sequential (CT-RT) 3%. Hazard ratio Synchronous (CT-RT-CT) vs Sequential (CT-RT) 0.63 (95% CI 0.43–0.91).

100%80%60%40%20%0%012345678910YearsSynchronous (CT-RT-CT)Sequential (CT-RT)
ArmNEventsMedian (Years)
Synchronous (CT-RT-CT)115045not reached
Sequential (CT-RT)114671not reached

Cumulative incidence (reconstructed)

TimeSynchronous (CT-RT-CT)Sequential (CT-RT)
1 yr0.3%1.0%
2 yr1.3%2.4%
3 yr2.0%3.1%
5 yr2.7%5.1%
7 yr3.6%5.7%
10 yr4.6%7.1%

Checks against the published figure

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Loco-regional in-field recurrence

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

Reconstructed from the published curve. Cumulative incidence at 3 years: Synchronous (CT-RT-CT) 2%; Sequential (CT-RT) 3%. Hazard ratio Synchronous (CT-RT-CT) vs Sequential (CT-RT) 0.64 (95% CI 0.44–0.93).

100%80%60%40%20%0%012345678910YearsSynchronous (CT-RT-CT)Sequential (CT-RT)
ArmNEventsMedian (Years)
Synchronous (CT-RT-CT)115047not reached
Sequential (CT-RT)114673not reached

Cumulative incidence (reconstructed)

TimeSynchronous (CT-RT-CT)Sequential (CT-RT)
1 yr0.4%0.9%
2 yr1.3%2.4%
3 yr2.1%3.3%
5 yr2.8%5.2%
7 yr3.8%5.8%
10 yr4.8%7.3%

Checks against the published figure

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Disease free survival

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

Reconstructed from the published curve. Median: Synchronous (CT-RT-CT) not reached; Sequential (CT-RT) not reached. Survival at 3 years: Synchronous (CT-RT-CT) 84%; Sequential (CT-RT) 84%. Hazard ratio Synchronous (CT-RT-CT) vs Sequential (CT-RT) 1.00 (95% CI 0.87–1.15).

0%20%40%60%80%100%012345678910YearsSynchronous (CT-RT-CT)Sequential (CT-RT)
ArmNEventsMedian (Years)
Synchronous (CT-RT-CT)1150390not reached
Sequential (CT-RT)1146388not reached

Landmark survival (reconstructed)

TimeSynchronous (CT-RT-CT)Sequential (CT-RT)
1 yr96.4%95.7%
2 yr89.8%89.5%
3 yr83.9%83.5%
5 yr75.7%75.2%
7 yr70.5%70.7%
10 yr64.8%65.1%

Checks against the published figure

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Overall survival

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

Reconstructed from the published curve. Median: Synchronous (CT-RT-CT) not reached; Sequential (CT-RT) not reached. Survival at 3 years: Synchronous (CT-RT-CT) 90%; Sequential (CT-RT) 90%. Hazard ratio Sequential (CT-RT) vs Synchronous (CT-RT-CT) 0.97 (95% CI 0.83–1.14).

0%20%40%60%80%100%0246810YearsSynchronous (CT-RT-CT)Sequential (CT-RT)
ArmNEventsMedian (Years)
Synchronous (CT-RT-CT)1147317not reached
Sequential (CT-RT)1146309not reached

Landmark survival (reconstructed)

TimeSynchronous (CT-RT-CT)Sequential (CT-RT)
1 yr98.4%98.4%
2 yr94.7%94.0%
3 yr90.1%90.1%
5 yr83.0%82.4%
7 yr77.6%77.9%
10 yr72.0%73.2%

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

Suggested citation: Radiother Oncol. 2020 Jan;142:52–61. doi: 10.1016/j.radonc.2019.10.014 doi:10.1016/j.radonc.2019.10.014. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/secrab

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