Evidence map›Paper›PMID 35822016›Full record

ReviewFrontiers in aging2021

Aging: What We Can Learn From Elephants.

Daniella E Chusyd, Nicole L Ackermans, Steven N Austad, Patrick R Hof, Michelle M Mielke, Chet C Sherwood, David B Allison

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in aging, 2021. 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
1.8field-weighted citation impact, top 15% 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, 19 citations in OpenAlex.

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  5. Network indicators of cultural resilience to anthropogenic removals in animal societies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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

7 authors at 6 institutions in 1 country.

Daniella E ChusydDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, United States.
Nicole L AckermansNash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Steven N AustadDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Patrick R HofNash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Michelle M MielkeDivision of Epidemiology, Department of Quantitative Health Sciences and Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Chet C SherwoodDepartment of Anthropology and Center for the Advanced Study of Human Paleobiology, George Washington University, Washington, DC, United States.
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, United States.
Indiana University Bloomington · USAllen Institute for Brain Science · USGeorge Washington University · USIcahn School of Medicine at Mount Sinai · USMayo Clinic in Florida · USUniversity of Alabama at Birmingham · US

Funding

Sex hormones and arthritis in a long lived animal modelP30AG050886 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Jianhua Zhang · 2015 to 2026
$11.3M
NIA NIH HHS P30 AG050886
6 · The paper itself

Abstract

Elephants are large-brained, social mammals with a long lifespan. Studies of elephants can provide insight into the aging process, which may be relevant to understanding diseases that affect elderly humans because of their shared characteristics that have arisen through independent evolution. Elephants become sexually mature at 12 to 14 years of age and are known to live into, and past, their 7

Indexed as

aginganimal modelcomparative aging researchelephantgerontologysenescence

Identifiers

PMID35822016
PMCPMC9261397
OpenAlexW3197198271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.