Evidence map›Paper›PMID 22933370›Full record

ReviewProceedings. Biological sciences2012

Evolutionary medicine: its scope, interest and potential.

Stephen C Stearns

Open access · bronzeAbstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

72 citing papers in PubMed, 160 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Proximate and ultimate causes of pregnancy sickness.Evolution, medicine, and public health · 2025
    Review
  6. Article
  7. Article
  8. Reinforcement learning informs optimal treatment strategies to limit antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evaluating the dissemination of evolutionary biology concepts in medicine.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Article
  17. Review
  18. Article
  19. Cell size, body size and Peto's paradox.BMC ecology and evolution · 2022
    Review
  20. Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 2 countries.

Stephen C StearnsDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520-8106, USA. stephen.stearns@yale.edu
Institute for Advanced Study · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review is aimed at readers seeking an introductory overview, teaching courses and interested in visionary ideas. It first describes the range of topics covered by evolutionary medicine, which include human genetic variation, mismatches to modernity, reproductive medicine, degenerative disease, host-pathogen interactions and insights from comparisons with other species. It then discusses priorities for translational research, basic research and health management. Its conclusions are that evolutionary thinking should not displace other approaches to medical science, such as molecular medicine and cell and developmental biology, but that evolutionary insights can combine with and complement established approaches to reduce suffering and save lives. Because we are on the cusp of so much new research and innovative insights, it is hard to estimate how much impact evolutionary thinking will have on medicine, but it is already clear that its potential is enormous.

Indexed as

Biological EvolutionBiomedical ResearchAnimalsDiseaseGenetic VariationHumansMedicine

Identifiers

PMID22933370
PMCPMC3479795
OpenAlexW2131095200

What OpenQuestion holds

Textmetadata
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.