Evidence map›Paper›PMID 28860417›Full record

ArticleJournal of musculoskeletal & neuronal interactions2017

Exercise for osteoporosis: how to navigate between overeagerness and defeatism.

A Ireland, J J Rittweger

Abstract read
In one paragraph

Article in Journal of musculoskeletal & neuronal interactions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Hypoxia Pathway in Osteoporosis: Laboratory Data for Clinical Prospects.International journal of environmental research and public health · 2023
    Review
  5. Article
  6. Osteoporosis after spinal cord injury: aetiology, effects and therapeutic approaches.Journal of musculoskeletal & neuronal interactions · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. 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

2 authors at 1 institution in 1 country.

A IrelandSchool of Healthcare Science, Manchester Metropolitan University, United Kingdom.
J J Rittweger
Manchester Metropolitan University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis and associated fractures remain a common and costly health problem. Public fears about rare side effects of efficacious drug treatments for osteoporosis have contributed to decreased prescription and compliance. Exercise and physical activity-based interventions have long been proposed as an alternative treatment for osteoporosis. However despite compelling evidence from experimental studies in animals and from observational studies in humans, the use of exercise to improve bone mass in clinical practice does not seem to be justifiable by current human interventional studies. In this perspective, we summarise the available evidence in support of exercise on bone mass. We review the modest effects observed in current exercise trials, and propose a number of factors which may contribute to these discrepancies. We also highlight the successful application of exercise to attenuating or even partially reversing bone loss in musculoskeletal disuse. We then propose how collaboration between basic science and clinical partners, and consideration of factors such as exercise modality, exercise intensity and participation motivation could improve exercise efficacy.

Indexed as

Exercise TherapyHumansOsteoporosis

Identifiers

PMID28860417
PMCPMC5601260
OpenAlexW2886138000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.