Evidence map›Paper›PMID 24280167›Full record

ArticleCancer & metabolism2013

Calorie restriction and cancer prevention: a mechanistic perspective.

Stephen D Hursting, Sarah M Dunlap, Nikki A Ford, Marcie J Hursting, Laura M Lashinger

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% 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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it, 127 citations in OpenAlex.

  1. Pooled it
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  8. Sex-specific systemic metabolic predictors of resistance to calorie restriction-induced weight loss in obese diversity outbred mice.American journal of physiology. Regulatory, integrative and comparative physiology · 2025
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  15. The mTOR signaling pathway in cardiac aging.The journal of cardiovascular aging · 2023
    Article
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18 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

5 authors at 3 institutions in 1 country.

Stephen D HurstingDepartment of Nutritional Sciences, The University of Texas at Austin, 1400 Barbara Jordan Blvd, DPRI 2,834, Austin, TX, 78723, USA. shursting@austin.utexas.edu.
Sarah M Dunlap
Nikki A Ford
Marcie J Hursting
Laura M Lashinger
The University of Texas at Austin · USThe University of Texas MD Anderson Cancer Center · USBioSciCon (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Calorie restriction (CR) is one of the most potent broadly acting dietary interventions for inducing weight loss and for inhibiting cancer in experimental models. Translation of the mechanistic lessons learned from research on CR to cancer prevention strategies in human beings is important given the high prevalence of excess energy intake, obesity, and metabolic syndrome in many parts of the world and the established links between obesity-associated metabolic perturbations and increased risk or progression of many types of cancer. This review synthesizes findings on the biological mechanisms underlying many of the anticancer effects of CR, with emphasis on the impact of CR on growth factor signaling pathways, inflammation, cellular and systemic energy homeostasis pathways, vascular perturbations, and the tumor microenvironment. These CR-responsive pathways and processes represent targets for translating CR research into effective cancer prevention strategies in human beings.

Identifiers

PMID24280167
PMCPMC4178215
OpenAlexW2129437221

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.