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PROLONG (final analysis): reconstructed Kaplan–Meier curves

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

Ofatumumab maintenance prolongs progression-free survival in relapsed chronic lymphocytic leukemia: final analysis of the PROLONG study. Curves rebuilt as patient-level data (Guyot 2012) and checked against the statistics printed on the figure.

PublicationBlood Cancer J. 2019 Dec 4;9(12):98. doi: 10.1038/s41408-019-0260-2
DOI10.1038/s41408-019-0260-2
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Source licenceFigure published under CC BY 4.0

Progression-free survival (investigator-assessed) — ITT

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: Ofatumumab 34.4 months; Observation 16.9 months. Survival at 18 months: Ofatumumab 73%; Observation 48%. Hazard ratio Ofatumumab vs Observation 0.54 (95% CI 0.43–0.68).

0%20%40%60%80%100%0122436486072MonthsOfatumumabObservation
ArmNEventsMedian (Months)
Ofatumumab24011934.4
Observation24016216.9

Landmark survival (reconstructed)

TimeOfatumumabObservation
6 mo89.2%75.2%
12 mo81.1%57.9%
18 mo72.7%48.1%
24 mo65.5%37.8%
36 mo47.2%27.7%
48 mo35.7%20.2%
60 mo31.0%17.7%

Checks against the published figure

Download pseudo-IPD (CSV)

Overall survival — ITT

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: Observation not reached; Ofatumumab not reached. Survival at 18 months: Observation 92%; Ofatumumab 90%. Hazard ratio Ofatumumab vs Observation 1.04 (95% CI 0.75–1.43).

0%20%40%60%80%100%0122436486072MonthsObservationOfatumumab
ArmNEventsMedian (Months)
Observation24070not reached
Ofatumumab24076not reached

Landmark survival (reconstructed)

TimeObservationOfatumumab
6 mo99.1%98.7%
12 mo95.7%94.4%
18 mo92.0%90.5%
24 mo88.3%86.9%
36 mo75.4%78.3%
48 mo67.3%66.6%
60 mo60.8%58.7%

Download pseudo-IPD (CSV)

Time to next-line treatment (TTNT)

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: Ofatumumab 37.4 months; Observation 27.6 months. Survival at 18 months: Ofatumumab 76%; Observation 66%. Hazard ratio Ofatumumab vs Observation 0.68 (95% CI 0.54–0.86).

0%20%40%60%80%100%0122436486072MonthsOfatumumabObservation
ArmNEventsMedian (Months)
Ofatumumab24013337.4
Observation24015627.6

Landmark survival (reconstructed)

TimeOfatumumabObservation
6 mo94.0%89.3%
12 mo87.1%74.6%
18 mo75.7%65.7%
24 mo68.0%56.5%
36 mo50.8%39.4%
48 mo36.9%28.3%
60 mo31.6%13.5%

Checks against the published figure

Download pseudo-IPD (CSV)

PFS after next-line treatment (randomization to second progression or death) — Patients receiving next-line treatment for relapse

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: Ofatumumab not reached; Observation not reached. Survival at 18 months: Ofatumumab 89%; Observation 91%. Hazard ratio Ofatumumab vs Observation 0.88 (95% CI 0.48–1.61).

0%20%40%60%80%100%0122436486072MonthsOfatumumabObservation
ArmNEventsMedian (Months)
Ofatumumab15319not reached
Observation16824not reached

Landmark survival (reconstructed)

TimeOfatumumabObservation
6 mo97.2%98.1%
12 mo94.2%93.3%
18 mo89.2%90.9%
24 mo89.2%88.4%
36 mo86.0%83.1%
48 mo84.7%82.1%
60 mo82.4%80.4%

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

Suggested citation: Blood Cancer J. 2019 Dec 4;9(12):98. doi: 10.1038/s41408-019-0260-2 doi:10.1038/s41408-019-0260-2. Reconstructed data: TrialCurve (2026), https://trialcurve.com/trials/prolong-final-analysis

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