Evidence map›Paper›PMID 25694776›Full record

ArticleInternational journal of MS care2014

Fall Incidence as the Primary Outcome in Multiple Sclerosis Falls-Prevention Trials: Recommendation from the International MS Falls Prevention Research Network.

Susan Coote, Jacob J Sosnoff, Hilary Gunn

Abstract read
In one paragraph

Article in International journal of MS care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Interventions for preventing falls in people with multiple sclerosis.The Cochrane database of systematic reviews · 2019
    Pooled it
  2. Trial
  3. Article
  4. Brain hemodynamic responses and fall prediction in older adults with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  5. Article
  6. Life space assessment and falls in older adults with multiple sclerosis.Multiple sclerosis and related disorders · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.IEEE journal of biomedical and health informatics · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Susan CooteDepartment of Clinical Therapies, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland (SC); Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA (JJS); and School of Health Professionals, Plymouth University, Plymouth, UK (HG).
Jacob J SosnoffDepartment of Clinical Therapies, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland (SC); Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA (JJS); and School of Health Professionals, Plymouth University, Plymouth, UK (HG).
Hilary GunnDepartment of Clinical Therapies, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland (SC); Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA (JJS); and School of Health Professionals, Plymouth University, Plymouth, UK (HG).

Funding

NRSA Training CoreTL1TR002368 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Jennifer Lynn Goldman, NICOLE L NOLLEN · 2017 to 2026
$4.0M
NCATS NIH HHS TL1 TR002368
6 · The paper itself

Abstract

The aim of this article is to provide recommendations on behalf of the International MS Falls Prevention Research Network (IMSFPRN) for the primary outcome measure for multiple sclerosis (MS) falls-prevention interventions. The article will consider the definition of a fall, methods of measuring falls, and the elements of falls that should be recorded, as well as how these elements should be presented and analyzed. While this information can be used to inform the content of falls-prevention programs, the primary aim of the article is to make recommendations on how the outcome of these programs should be captured.

Identifiers

PMID25694776
PMCPMC4321456

What OpenQuestion holds

Textmetadata
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.