TrialCurveRADICALS-HD (three-way comparison): reconstructed Kaplan–Meier curves
Randomised Trial of No, Short-term, or Long-term Androgen Deprivation Therapy with Postoperative Radiotherapy After Radical Prostatectomy: Results from the Three-way Comparison of RADICALS-HD (NCT00541047). Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.
| Publication | Eur Urol. Author manuscript; Available in PMC 2025 Jan 8. |
|---|---|
| DOI | 10.1016/j.eururo.2024.07.026 |
| Registry | — |
| Phase | — |
| Conditions | — |
| Interventions | — |
| Sponsor | — |
| Enrolment | — |
| Source licence | Figure published under CC BY 4.0 |
Metastasis-free survival
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: Long not reached; Short not reached; None not reached. Survival at 3 years: Long 96%; Short 98%; None 97%. Hazard ratio Long vs None 0.90 (95% CI 0.52–1.56).
| Arm | N | Events | Median (Years) |
|---|---|---|---|
| Long | 162 | 24 | not reached |
| Short | 164 | 28 | not reached |
| None | 166 | 27 | not reached |
- Long vs None: reconstructed HR 0.90 (95% CI 0.52–1.56)
- Short vs None: reconstructed HR 1.06 (95% CI 0.63–1.80)
Landmark survival (reconstructed)
| Time | Long | Short | None |
|---|---|---|---|
| 1 yr | 98.1% | 100.0% | 99.4% |
| 2 yr | 96.9% | 98.1% | 98.8% |
| 3 yr | 95.6% | 97.5% | 97.0% |
| 5 yr | 93.1% | 91.8% | 92.0% |
| 7 yr | 89.1% | 88.4% | 85.8% |
| 10 yr | 80.6% | 76.9% | 80.4% |
Checks against the published figure
- None events: printed 27, reconstructed 27 pass
- None n: printed 166, reconstructed 166 pass
- Short events: printed 28, reconstructed 28 pass
- Short n: printed 164, reconstructed 164 pass
- Long events: printed 24, reconstructed 24 pass
- Long n: printed 162, reconstructed 162 pass
Overall survival
From figure panel B · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model
Reconstructed from the published curve. Median: Short not reached; Long not reached; None not reached. Survival at 3 years: Short 98%; Long 98%; None 98%. Hazard ratio Short vs None 1.02 (95% CI 0.55–1.90).
| Arm | N | Events | Median (Years) |
|---|---|---|---|
| Short | 164 | 20 | not reached |
| Long | 162 | 19 | not reached |
| None | 166 | 20 | not reached |
- Short vs None: reconstructed HR 1.02 (95% CI 0.55–1.90)
- Long vs None: reconstructed HR 0.97 (95% CI 0.52–1.81)
Landmark survival (reconstructed)
| Time | Short | Long | None |
|---|---|---|---|
| 1 yr | 100.0% | 98.8% | 99.4% |
| 2 yr | 99.4% | 98.1% | 99.4% |
| 3 yr | 98.1% | 97.5% | 98.2% |
| 5 yr | 96.2% | 95.0% | 95.1% |
| 7 yr | 92.9% | 91.5% | 89.1% |
| 10 yr | 82.3% | 84.6% | 85.4% |
Checks against the published figure
- None events: printed 20, reconstructed 20 pass
- None n: printed 166, reconstructed 166 pass
- Short events: printed 20, reconstructed 20 pass
- Short n: printed 164, reconstructed 164 pass
- Long events: printed 19, reconstructed 19 pass
- Long n: printed 162, reconstructed 162 pass
Freedom from distant metastasis
From figure panel C · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model
Reconstructed from the published curve. Median: None not reached; Short not reached; Long not reached. Survival at 3 years: None 99%; Short 99%; Long 97%. Hazard ratio Short vs None 0.93 (95% CI 0.41–2.12).
| Arm | N | Events | Median (Years) |
|---|---|---|---|
| None | 166 | 12 | not reached |
| Short | 164 | 12 | not reached |
| Long | 162 | 13 | not reached |
- Short vs None: reconstructed HR 0.93 (95% CI 0.41–2.12)
- Long vs None: reconstructed HR 0.94 (95% CI 0.41–2.13)
Landmark survival (reconstructed)
| Time | None | Short | Long |
|---|---|---|---|
| 1 yr | 100.0% | 100.0% | 98.8% |
| 2 yr | 99.4% | 98.8% | 98.1% |
| 3 yr | 98.8% | 98.8% | 97.5% |
| 5 yr | 96.2% | 94.8% | 96.2% |
| 7 yr | 93.2% | 93.4% | 93.4% |
| 10 yr | — | 91.1% | 89.4% |
Checks against the published figure
- None events: printed 12, reconstructed 12 pass
- None n: printed 166, reconstructed 166 pass
- Short events: printed 12, reconstructed 12 pass
- Short n: printed 164, reconstructed 164 pass
- Long events: printed 13, reconstructed 13 pass
- Long n: printed 162, reconstructed 162 pass
Time to salvage hormone therapy
From figure panel D · curves cross-checked by two independent readings · curve source: pixel measurement confirmed by vision model
Reconstructed from the published curve. Median: Long not reached; Short not reached; None not reached. Survival at 3 years: Long 98%; Short 98%; None 87%. Hazard ratio Long vs None 0.55 (95% CI 0.32–0.93).
| Arm | N | Events | Median (Years) |
|---|---|---|---|
| Long | 162 | 22 | not reached |
| Short | 164 | 26 | not reached |
| None | 166 | 37 | not reached |
- Long vs None: reconstructed HR 0.55 (95% CI 0.32–0.93)
- Short vs None: reconstructed HR 0.63 (95% CI 0.38–1.04)
Landmark survival (reconstructed)
| Time | Long | Short | None |
|---|---|---|---|
| 1 yr | 99.4% | 100.0% | 96.3% |
| 2 yr | 98.7% | 98.1% | 92.0% |
| 3 yr | 98.1% | 98.1% | 87.1% |
| 5 yr | 92.8% | 92.3% | 81.2% |
| 7 yr | 89.3% | 88.9% | 76.8% |
| 10 yr | 82.6% | 75.8% | — |
Checks against the published figure
- None events: printed 37, reconstructed 37 pass
- None n: printed 166, reconstructed 166 pass
- Short events: printed 26, reconstructed 26 pass
- Short n: printed 164, reconstructed 164 pass
- Long events: printed 22, reconstructed 22 pass
- Long n: printed 162, reconstructed 162 pass
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/radicals-hd-three-way-comparison-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/radicals-hd-three-way-comparison-1.csv")
for arm, g in d.groupby("arm"):
KaplanMeierFitter().fit(g.time, g.event, label=arm).plot_survival_function()
Suggested citation: Eur Urol. Author manuscript; Available in PMC 2025 Jan 8. doi:10.1016/j.eururo.2024.07.026. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/radicals-hd-three-way-comparison
Report a problem with these data
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