ReviewCurrent opinion in cell biology2018
Measuring and modeling interventions in aging.
Review in Current opinion in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Gerontology lost in translation from demography to biology of aging and back.Biogerontology · 2026Review
- An underappreciated peculiarity of late-life human mortality kinetics assessed through the lens of a generalization of the Gompertz-Makeham law.Biogerontology · 2024Article
- Gene expression tradeoffs determine bacterial survival and adaptation to antibiotic stress.bioRxiv : the preprint server for biology · 2024Article
- Analysis of aComputational and structural biotechnology journal · 2023Article
- Relationships between β-amyloid and tau in an elderly population: An accelerated failure time model.NeuroImage · 2021Article
- Modeling aging and its impact on cellular function and organismal behavior.Experimental gerontology · 2021Review
- An essay on the nominal vs. real definitions of aging.Biogerontology · 2021Article
- Evolution, Chance, and Aging.Frontiers in genetics · 2021Review
- Optimal control of aging in complex networks.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many dietary, pharmaceutical, and genetic interventions have been found to increase the lifespan of laboratory animals. Several are now being explored for clinical application. To understand the physiologic action and therapeutic potential of interventions in aging, researchers must build quantitative models. Do interventions delay the onset of aging? Slow it down? Merely ameliorate some of its symptoms? If interventions slow some aging mechanisms but accelerate others, can we detect or predict the systemic consequences? Statistical and analytic models provide a crucial framework in which to answer these questions and clarify the systems-level effect of molecular interventions in aging. This review provides a brief survey of approaches to modeling lifespan data and places them in the context of recent experimental work.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.