Evidence map›Paper›PMID 29432166›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Thymic involution and rising disease incidence with age.

Sam Palmer, Luca Albergante, Clare C Blackburn, T J Newman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

217 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Rethinking immune studies: population-level immune variations and the path forward.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Pooled it
  2. Article
  3. Review
  4. Long-Term Cancer and Mortality After Thymectomy.European journal of neurology · 2026
    Article
  5. Article
  6. Review
  7. What Do We Know About Immune System Aging from Human and Animal Studies?International journal of molecular sciences · 2026
    Review
  8. Article
  9. Aging diminishes thymic output, reduces naive T cells, promotes memory T-cell accumulation, and impairs thymic regeneration.American journal of physiology. Regulatory, integrative and comparative physiology · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Is Thymic Involution Truly a Deterioration or an Adaptation?Bulletin of mathematical biology · 2026
    Article
  20. Review

157 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sam PalmerSchool of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom; s.palmer@hw.ac.uk tjnewman@solaravus.com.ORCID 0000-0002-5036-6073
Luca AlberganteSchool of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom.ORCID 0000-0001-8151-6989
Clare C BlackburnMedical Research Council Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, EH16 4UU Edinburgh, United Kingdom.ORCID 0000-0002-6326-640X
T J NewmanSchool of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom; s.palmer@hw.ac.uk tjnewman@solaravus.com.

Funding

Medical Research Council
6 · The paper itself

Abstract

For many cancer types, incidence rises rapidly with age as an apparent power law, supporting the idea that cancer is caused by a gradual accumulation of genetic mutations. Similarly, the incidence of many infectious diseases strongly increases with age. Here, combining data from immunology and epidemiology, we show that many of these dramatic age-related increases in incidence can be modeled based on immune system decline, rather than mutation accumulation. In humans, the thymus atrophies from infancy, resulting in an exponential decline in T cell production with a half-life of ∼16 years, which we use as the basis for a minimal mathematical model of disease incidence. Our model outperforms the power law model with the same number of fitting parameters in describing cancer incidence data across a wide spectrum of different cancers, and provides excellent fits to infectious disease data. This framework provides mechanistic insight into cancer emergence, suggesting that age-related decline in T cell output is a major risk factor.

Indexed as

AgingFemaleGenetic Predisposition to DiseaseHumansMaleModels, BiologicalMutationNeoplasmsThymus Glandcancerdriver mutationsinfectious diseaseT cellthymus

Identifiers

PMID29432166
PMCPMC5828591

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.