Evidence map›Paper›PMID 26241448›Full record

ArticleInvertebrate reproduction & development2015

Invertebrates as model organisms for research on aging biology.

Mahadev Murthy, Jeffrey L Ram

Open access · bronzeAbstract read
In one paragraph

Article in Invertebrate reproduction & development, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.9field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Germ cells and the aging niche: a systems approach to reproductive longevity.Journal of assisted reproduction and genetics · 2025
    Review
  2. Review
  3. Skeletal Muscle Aging: Lessons From Teleosts.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Review
  4. Genetic and Epigenetic Interactions Involved in Senescence of Stem Cells.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. Alternative Animal Models of Aging Research.Frontiers in molecular biosciences · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

2 authors at 2 institutions in 1 country.

Mahadev MurthyDivision of Aging Biology, National Institute on Aging, National Institutes of Health , Bethesda , MD 20892 , USA.
Jeffrey L RamDepartment of Physiology, Wayne State University , Detroit , MI 48201 , USA.
National Institutes of Health · USWayne State University · US

Funding

SYMPOSIUM ON MODEL INVERTEBRATE SYSTEMS FOR THE STUDY OF STEM CELLS IN DEVELOPMENU13AG046118 · NIA · WAYNE STATE UNIVERSITY · PI RAM, JEFFREY L · 2013 to 2013
$26k
NIA NIH HHS U13 AG046118
6 · The paper itself

Abstract

Invertebrate model systems, such as nematodes and fruit flies, have provided valuable information about the genetics and cellular biology involved in aging. However, limitations of these simple, genetically tractable organisms suggest the need for other model systems, some of them invertebrate, to facilitate further advances in the understanding of mechanisms of aging and longevity in mammals, including humans. This paper introduces 10 review articles about the use of invertebrate model systems for the study of aging by authors who participated in an 'NIA-NIH symposium on aging in invertebrate model systems' at the 2013 International Congress for Invertebrate Reproduction and Development. In contrast to the highly derived characteristics of nematodes and fruit flies as members of the superphylum Ecdysozoa, cnidarians, such as

Identifiers

PMID26241448
PMCPMC4464166
OpenAlexW2098700211

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.