Evidence map›Paper›PMID 27605972›Full record

ArticleAfrican health sciences2016

Effects of acute exercise on salivary free insulin-like growth factor 1 and interleukin 10 in sportsmen.

Taye J Lasisi, Ade F Adeniyi

Open access · diamondAbstract read
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Article in African health sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Taye J LasisiDepartments of Physiology and Oral Pathology, College of Medicine, University of Ibadan, Nigeria.
Ade F AdeniyiDepartment of Physiotherapy, University of Ibadan /University College Hospital, Ibadan.
University College Hospital, Ibadan · NGUniversity of Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSaliva analysis is rapidly developing as a tool for the assessment of biomarkers of sports training. It remains poorly understood whether a short bout of sport training can alter some salivary immune biomarkers.

aimTo investigate the effect of acute exercise using football training session on salivary flow rate, salivary free Insulin-like Growth Factor-1 (IGF-1) and Interleukin 10 (IL-10).

methodsSaliva samples were collected before and immediately after a football session. Salivary flow rates, salivary levels of free IGF-1 and IL-10 (using ELISA) were determined. Data was analyzed and compared using Related Samples Wilcoxon Signed Rank test (non-parametric test). Relationships between salivary flow rate and levels of free IGF-1 and IL-10 were determined using Spearman correlation test.

resultsThere were 22 male footballers with a mean age of 20.46 years. Salivary flow rate reduced significantly (p = 0.01) after the training session while salivary levels of free IGF-1 and IL-10 did not show any significant change. Also, there were no correlations between salivary flow rates and salivary levels of free IGF-1 and IL-10 before and after exercise.

conclusionThese findings suggest that acute exercise caused significant reduction in salivary flow rate but no change in the levels of salivary free IGF-1 and IL-10.

Indexed as

AthletesCohort StudiesEnzyme-Linked Immunosorbent AssayExerciseFootballHumansInsulin-Like Growth Factor IInterleukin-10MaleNigeriaReference ValuesSalivaSalivary GlandsStatistics, NonparametricYoung AdultInsulin-Like Growth Factor IInterleukin-10exerciseInsulin-like Growth Factorinterleukin 10Salivasalivary flow rate

Identifiers

PMID27605972
PMCPMC4994569
OpenAlexW2468161080

What OpenQuestion holds

Textmetadata
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Registered trials

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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.