Code and data from: No evidence for squaring the survival curve; lifespan-extending treatments increase variation in age-at-death
Data files
Jan 22, 2026 version files 92.39 MB
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Analysis.html
3.02 MB
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Analysis.Rmd
23.08 KB
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Fig1_TF.tif
89.34 MB
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README.md
3.02 KB
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README.txt
1.85 KB
Abstract
Geroscience has the goal of extending lifespan through geroprotective interventions. These interventions are typically imparted on groups, with their efficacy judged by increases in the average age-at-death. A more equitable outcome, which looks beyond the average, is to attain a long life for all individuals, such that the average age-at-death is high while variability is low. This goal of increasing the mean while reducing variation is sometimes referred to as “squaring the survival curve”. A recent meta-analysis of vertebrate data found that dietary restriction (DR) and the DR-mimetic, rapamycin, generally increase the average age-at-death, while metformin (also considered a DR-mimetic) is less effective. We have re-analysed this recently published data to study the effects of lifespan-extending treatments on variation in the age-at-death. On average, all three treatments increase the variance in the age-at-death, but not the coefficient of variation (i.e., standard-deviation relative to the mean). This suggests that lifespan-extending treatments do not reduce variance and “square the survival curve”. Rather, any gains in mean age-at-death are matched by corresponding increases in variation. Interestingly, this result is consistent with the treatments proportionally reducing both the age-dependent and age-independent parameters in a Gompertz-model of mortality.
Dataset DOI: 10.5061/dryad.dv41ns2c6
Description of the data and file structure
######README######
Analysis.Rmd - code to download data and for all data processing and statistical analyses
Data published in Ivimey‐Cook, E.R., Sultanova, Z., and Maklakov, A.A., 2025. Rapamycin, Not Metformin, Mirrors Dietary Restriction‐Driven Lifespan Extension in Vertebrates: A Meta‐Analysis. Aging Cell, p.e70131
Data downloaded from https://doi.org/10.5281/zenodo.15673918
Once downloaded using the code in Analysis.Rmd, the analyses are performed on analysis_data
analysis_data column names (from Ivimey-Cook and Sultanova et al (2025), downloaded using Analysis):
id = 1:911 unique individual ID
Author list: list of authors
title: title of paper
Year: year paper was published (extracted from Scopus/WoS)
m_control: control lifespan measure
n_control: sample size for control
sd_control: standard deviation for control (left blank if not available)
se_control: standard error for control (left blank if not available)
m_treatment: treatment lifespan measure
n_ treatment: sample size for treatment
sd_ treatment: standard deviation for treatment (left blank if not available)
se_ treatment: standard error for treatment (left blank if not available)
m_Measure: median or mean lifespan
m_raw: Whether raw data was given to calculate measures.
m_time: unit of lifespan measure
m_Location: Location of lifespan measure in the paper.
Species: species sampled
Treatment_Type: Type of treatment used (e.g. fasting, percent reduction, rapamycin..)
Treatment_Overall: Broad treatment groups (Rapamycin, Metformin, DR).
Treatment_Name: Treatment name in paper
Sex: Sex studied
Strain: The name of any strain used if appropriate.
Other Variables: Whether any other variables tested in the experiment.
Notes: Additional notes
mice900_keep: whether or not the mice paper passed the 900 day rule.
Additional columns are generated in Analysis.rmd under the "Effect size calculation"
File: Analysis.Rmd
Description: code to download data and for all data processing and statistical analyses
File: README.txt
Description: README text file
File: Analysis.html
Description: html proof of Analysis code functioning at time of submission, shows all published results
File: Fig1_TF.tif
Description: figure 1
Code/software
See materials and methods of manuscript. Code can be run in R and/or RStudio.
Access information
Other publicly accessible locations of the data:
Data was derived from the following sources:
