Evidence map›Paper›PMID 36708182›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023

An Automated, Home-Cage, Video Monitoring-based Mouse Frailty Index Detects Age-associated Morbidity in C57BL/6 and Diversity Outbred Mice.

J Graham Ruby, Andrea Di Francesco, Paulo Ylagan, Angela Luo, Robert Keyser, Owen Williams, Sarah Spock, Wenzhou Li, Nalien Vongtharangsy, Sandip Chatterjee and 7 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. 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
–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

13 citing papers in PubMed.

  1. Review
  2. The association of frailty with age and lifespan in mice differs by strain and sex.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  3. Article
  4. Article
  5. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Workshop Report-Heterogeneity and Successful Aging Part II: Approaches to Investigate Heterogeneity in Aging Research.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  10. Article
  11. Machine vision based frailty assessment for genetically diverse mice.bioRxiv : the preprint server for biology · 2024
    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

17 authors.

J Graham RubyCalico Life Sciences LLC, South San Francisco, California, USA.
Andrea Di FrancescoCalico Life Sciences LLC, South San Francisco, California, USA.
Paulo YlaganCalico Life Sciences LLC, South San Francisco, California, USA.
Angela LuoCalico Life Sciences LLC, South San Francisco, California, USA.
Robert KeyserCalico Life Sciences LLC, South San Francisco, California, USA.
Owen WilliamsCalico Life Sciences LLC, South San Francisco, California, USA.
Sarah SpockCalico Life Sciences LLC, South San Francisco, California, USA.
Wenzhou LiCalico Life Sciences LLC, South San Francisco, California, USA.
Nalien VongtharangsyCalico Life Sciences LLC, South San Francisco, California, USA.
Sandip ChatterjeeCalico Life Sciences LLC, South San Francisco, California, USA.
Cricket A SloanCalico Life Sciences LLC, South San Francisco, California, USA.
Charles LedogarCalico Life Sciences LLC, South San Francisco, California, USA.
Veronica KuiperCalico Life Sciences LLC, South San Francisco, California, USA.
Janessa KiteCalico Life Sciences LLC, South San Francisco, California, USA.
Marcelo CosinoCalico Life Sciences LLC, South San Francisco, California, USA.
Paulyn ChaCalico Life Sciences LLC, South San Francisco, California, USA.
Eleanor M KarlssonCalico Life Sciences LLC, South San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty indexes (FIs) provide quantitative measurements of nonspecific health decline and are particularly useful as longitudinal monitors of morbidity in aging studies. For mouse studies, frailty assessments can be taken noninvasively, but they require handling and direct observation that is labor-intensive to the scientist and stress inducing to the animal. Here, we implement, evaluate, and provide a refined digital FI composed entirely of computational analyses of home-cage video and compare it to manually obtained frailty scores in both C57BL/6 and genetically heterogeneous Diversity Outbred mice. We show that the frailty scores assigned by our digital index correlate with both manually obtained frailty scores and chronological age. Thus, we provide an automated tool for frailty assessment that can be collected reproducibly, at scale, without substantial labor cost.

Indexed as

FrailtyAgedAgingAnimalsCollaborative Cross MiceFrail ElderlyGeriatric AssessmentHumansMiceMice, Inbred C57BL3Rs (reduce replace refine)Age-related pathologyBioinformaticsDigital biomarkersFrailtyHome cage

Identifiers

PMID36708182
PMCPMC10172975

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.