Evidence map›Paper›PMID 28603374›Full record

ArticleJournal of physical therapy science2017

The effectiveness of short-term high-intensity exercise on ventilatory function, in adults with a high risk of chronic obstructive pulmonary disease.

Omar Farouk Helal, Mansour Abdullah Alshehri, Mohamed Salaheldien Alayat, Hammad Alhasan, Abdullah Tobaigy

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Trial
  2. 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.

Omar Farouk HelalPhysiotherapy Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Saudi Arabia.
Mansour Abdullah AlshehriPhysiotherapy Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Saudi Arabia.
Mohamed Salaheldien AlayatDepartment of Basic Sciences, Faculty of Physical Therapy, Cairo University, Egypt.
Hammad AlhasanPhysiotherapy Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Saudi Arabia.
Abdullah TobaigyCollege of Medicine and Health, University College Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study sets out to investigate whether a short-term high-intensity arm ergometer exercise plan can be of benefit to adults whose poor ventilatory function places them at risk of developing chronic obstructive pulmonary disease. [Subjects and Methods] A pre-experimental design with a convenience sample was employed. The study enrolled 30 adult smokers, aged between 18-25 years old, all of whom were at a high risk of chronic obstructive pulmonary disease. The participants did a daily 20-minute high-intensity arm ergometer exercise, at 75% target heart rate, at the same time over a period of three days. The forced vital capacity test manoeuvre was carried out before the sessions, and once all three had been done. [Results] The study demonstrated a sizeable increase in the mean values of forced vital capacity and forced expiratory volume in one second. The mean values of expiratory volume in one second/forced vital capacity as well as peak expiratory flow rate were not significant statistically. [Conclusion] Although further studies, using larger sampling groups, need to be carried out, this research demonstrates that adults at high risk of chronic obstructive pulmonary disease improve lung function by following short-term high-intensity arm ergometer exercise.

Indexed as

Aerobic exerciseChronic obstructive pulmonary diseaseVentilatory function

Identifiers

PMID28603374
PMCPMC5462701

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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.