Evidence map›Paper›PMID 35313348›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Applying the AFRAID and FRIGHT Clocks to Novel Preclinical Mouse Models of Polypharmacy.

John Mach, Alice E Kane, Susan E Howlett, David A Sinclair, Sarah N Hilmer

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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
  2. Article
  3. Workshop Report-Heterogeneity and Successful Aging Part I: Heterogeneity in Aging-Challenges and Opportunities.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  4. Article
  5. 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

5 authors at 3 institutions in 3 countries.

John MachLaboratory of Ageing and Pharmacology, Kolling Institute of Medical Research, Faculty of Medicine and Health, Royal North Shore Hospital, The University of Sydney, St Leonards, Sydney, New South Wales, Australia.
Alice E KaneBlavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, Massachusetts, USA.
Susan E HowlettDepartments of Pharmacology and Medicine (Geriatric Medicine), Dalhousie University, Halifax, Canada.ORCID 0000-0001-5351-6308
David A SinclairBlavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, Massachusetts, USA.
Sarah N HilmerLaboratory of Ageing and Pharmacology, Kolling Institute of Medical Research, Faculty of Medicine and Health, Royal North Shore Hospital, The University of Sydney, St Leonards, Sydney, New South Wales, Australia.ORCID 0000-0002-5970-1501
Harvard University · USThe University of Sydney · AUDalhousie University · CA

Funding

SIRT1 as a regulator of health and lifespan of mammalsR37AG028730 · NIA · HARVARD MEDICAL SCHOOL · PI SINCLAIR, DAVID A. · 2012 to 2021
$4.1M
Elucidating mechanisms of SIRT1 activationR01DK100263 · NIDDK · HARVARD MEDICAL SCHOOL · PI SINCLAIR, DAVID A. · 2016 to 2020
$2.5M
NIA NIH HHS R37 AG028730NIDDK NIH HHS R01 DK100263Paul F. Glenn Foundation for Medical ResearchPenney Aging Research UnitRamsay Research and Teaching FundRoyal North Shore Hospital, Australia
6 · The paper itself

Abstract

The Frailty Inferred Geriatric Health Timeline (FRIGHT) and Analysis of Frailty and Death (AFRAID) clocks were developed to predict biological age and lifespan, respectively, in mice. Their utility within the context of polypharmacy (≥5 medications), which is very common in older adults, is unknown. In male C57BL/6J(B6) mice administered chronic polypharmacy, monotherapy, and undergoing treatment cessation (deprescribing), we aimed to compare these clocks between treatment groups; investigate whether treatment affected correlation of these clocks with mortality; and explore factors that may explain variation in predictive performance. Treatment (control, polypharmacy, or monotherapy) commenced from age 12 months. At age 21 months, each treatment group was subdivided to continue treatment or have it deprescribed. Frailty index was assessed and informed calculation of the clocks. AFRAID, FRIGHT, frailty index, and mortality age did not differ between continued treatment groups and control. Compared to continued treatment, deprescribing some treatments had inconsistent negative impacts on some clocks and mortality. FRIGHT and frailty index, but not AFRAID, were associated with mortality. The bias and precision of AFRAID as a predictor of mortality varied between treatment groups. Effects of deprescribing some drugs on elements of the clocks, particularly on weight loss, contributed to bias. Overall, in this cohort, FRIGHT and AFRAID measures identified no treatment effects and limited deprescribing effects (unsurprising as very few effects on frailty or mortality), with variable prediction of mortality. These clocks have utility, but context is important. Future work should refine them for intervention studies to reduce bias from specific intervention effects.

Indexed as

DeprescriptionsFrailtyAgedAnimalsCohort StudiesHumansMaleMiceMice, Inbred C57BLPolypharmacyBiological ageDeprescribingLifespanMortalityPolypharmacy

Identifiers

PMID35313348
PMCPMC9255695
OpenAlexW4220943121

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.