Evidence map›Paper›PMID 37764858›Full record

ReviewNutrients2023

Anabolic Resistance in the Pathogenesis of Sarcopenia in the Elderly: Role of Nutrition and Exercise in Young and Old People.

Caterina Tezze, Marco Sandri, Paolo Tessari

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 7 pooled it
13.1field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 7 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  7. Effects of exercise with or withoutFrontiers in nutrition · 2024
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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

3 authors at 1 institution in 2 countries.

Caterina TezzeDepartment of Biomedical Sciences, University of Padova, via Ugo Bassi 58/b, 35121 Padova, Italy.ORCID 0000-0003-0531-3906
Marco SandriDepartment of Biomedical Sciences, University of Padova, via Ugo Bassi 58/b, 35121 Padova, Italy.
Paolo TessariDepartment of Medicine, University of Padova, via Giustiniani 2, 35128 Padova, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of sarcopenia in the elderly is associated with many potential factors and/or processes that impair the renovation and maintenance of skeletal muscle mass and strength as ageing progresses. Among them, a defect by skeletal muscle to respond to anabolic stimuli is to be considered. Common anabolic stimuli/signals in skeletal muscle are hormones (insulin, growth hormones, IGF-1, androgens, and β-agonists such epinephrine), substrates (amino acids such as protein precursors on top, but also glucose and fat, as source of energy), metabolites (such as β-agonists and HMB), various biochemical/intracellular mediators), physical exercise, neurogenic and immune-modulating factors, etc. Each of them may exhibit a reduced effect upon skeletal muscle in ageing. In this article, we overview the role of anabolic signals on muscle metabolism, as well as currently available evidence of resistance, at the skeletal muscle level, to anabolic factors, from both in vitro and in vivo studies. Some indications on how to augment the effects of anabolic signals on skeletal muscle are provided.

Indexed as

SarcopeniaAgedExerciseHumansInsulinMuscle, SkeletalNutritional StatusInsulinexerciseintracellular signalsnutritionprotein foodsprotein synthesissarcopeniaskeletal muscle

Identifiers

PMID37764858
PMCPMC10535169
OpenAlexW4386884815

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.