Evidence map›Paper›PMID 32295038›Full record

ReviewJournal of clinical medicine2020

Biohumoral Indicators Influenced by Physical Activity in the Elderly.

Chiara Fossati, Guglielmo Torre, Paolo Borrione, Arrigo Giombini, Federica Fagnani, Matteo Turchetta, Erika Albo, Maurizio Casasco, Attilio Parisi, Fabio Pigozzi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Physical Exercise and Mental Health: The Routes of a Reciprocal Relation.International journal of environmental research and public health · 2021
    Review
  5. Article
  6. Review
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

10 authors.

Chiara FossatiDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Guglielmo TorreDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Roma, Italy.
Paolo BorrioneDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Arrigo GiombiniDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Federica FagnaniDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Matteo TurchettaDepartment of Orthopaedics, Policlinico Casilino, 00169 Rome, Italy.
Erika AlboDepartment of Orthopaedic and Trauma Surgery, Campus Bio-Medico University of Rome, 00128 Roma, Italy.
Maurizio CasascoItalian Federation of Sports Medicine, 00196 Rome, Italy.
Attilio ParisiDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.
Fabio PigozziDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", 00135 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the scientific landscape, there is a growing interest in defining the role of several biomolecules and humoral indicators of the aging process and in the modifications of these biomarkers induced by physical activity and exercise. The main aim of the present narrative review is to collect the available evidence on the biohumoral indicators that could be modified by physical activity (PA) in the elderly. Online databases including Pubmed, Web of science (Medline), and Scopus were searched for relevant articles published in the last five years in English. Keywords and combination of these used for the search were the following: "biological", "indicators", "markers", "physical", "activity", and "elderly". Thirty-four papers were analyzed for inclusion. Twenty-nine studies were included and divided into four categories: cardiovascular (CV) biomarkers, metabolic biomarkers, inflammatory markers-oxidative stress molecules, and other markers. There are many distinct biomarkers influenced by PA in the elderly, with promising results concerning the metabolic and CV indexes, as a growing number of studies demonstrate the role of PA on improving parameters related to heart function and CV risk like atherogenic lipid profile. Furthermore, it is also a verified hypothesis that PA is able to modify the inflammatory status of the subject by decreasing the levels of pro-inflammatory cytokines, including interleukin-1 (IL-1), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α). PA seems also to be able to have a direct effect on the immune system. There is a strong evidence of a positive effect of PA on the health of elderly people that could be evidenced and "quantified" by the modifications of the levels of several biohumoral indicators.

Indexed as

biomarkersdiabeteselderlyhypertensionnoncommunicable diseasesphysical activity

Identifiers

PMID32295038
PMCPMC7231282

What OpenQuestion holds

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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.