Evidence map›Paper›PMID 25001669›Full record

ReviewThe journal of spinal cord medicine2015

The effects of electrical stimulation on body composition and metabolic profile after spinal cord injury--Part II.

Ashraf S Gorgey, David R Dolbow, James D Dolbow, Refka K Khalil, David R Gater

3 registry-linked trialsOpen access · greenAbstract readReview
In one paragraph

Review in The journal of spinal cord medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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.

NCT03810963 nacompletednot on this mapstarted 2017, after this paper: background citation

Electrically Induced Cycling and Nutritional Counseling for Counteracting Obesity After SCI

TypeinterventionalSponsorWilliam Carey UniversityRan2017 to 2019Enrolled15ConditionsSpinal Cord InjuriesArmsHIIT-FES Cycling combined with Nutritional Counseling, Nutritional Counseling Only
NCT06230627 nacompletednot on this mapstarted 2021, after this paper: background citation

University of Mosul, College of Physical Education and Sport Sciences & University of Sfax, High Institute of Sport and Physical Education at Sfax

TypeinterventionalSponsorUniversity of MosulRan2021 to 2023Enrolled18ConditionsSpinal Cord Injuries, Rehabilitation, ExercisesArmsHome-Based Rehabilitation rogram
NCT07648173 narecruitingnot on this mapstarted 2026, after this paper: background citation

The Effects of a Hybrid HIIT-FES Cycling Program on Individuals With Spinal Cord Injury to Improve Cardiovascular and Metabolic Health

TypeinterventionalSponsorWilliam Carey UniversityRan2026 to 2027Enrolled12ConditionsSpinal Cord InjuriesArmsMuscle strengthening exercise followed by Hybrid FES cycling Exercise, Active ROM exercise with arms and Passive ROM exercise with legs
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 4 institutions in 2 countries.

Ashraf S Gorgey
David R Dolbow
James D Dolbow
Refka K Khalil
David R Gater
Hunter Holmes McGuire VA Medical Center · USPenn State Milton S. Hershey Medical Center · USUniversity of Southern Mississippi · USVirginia Commonwealth University · US

Funding

Effects of Evoked Resistance Training and Testosterone after Spinal Cord InjuryIK2RX000732 · VA · VA VETERANS ADMINISTRATION HOSPITAL · PI GORGEY, ASHRAF · 2012 to 2016
–
RRD VA IK2 RX000732
6 · The paper itself

Abstract

Diet and exercise are cornerstones in the management of obesity and associated metabolic complications, including insulin resistance, type 2 diabetes, and disturbances in the lipid profile. However, the role of exercise in managing body composition adaptations and metabolic disorders after spinal cord injury (SCI) is not well established. The current review summarizes evidence about the efficacy of using neuromuscular electrical stimulation or functional electrical stimulation in exercising the paralytic lower extremities to improve body composition and metabolic profile after SCI. There are a number of trials that investigated the effects on muscle cross-sectional area, fat-free mass, and glucose/lipid metabolism. The duration of the intervention in these trials varied from 6 weeks to 24 months. Training frequency ranged from 2 to 5 days/week. Most studies documented significant increases in muscle size but no noticeable changes in adipose tissue. While increases in skeletal muscle size after twice weekly training were greater than those trials that used 3 or 5 days/week, other factors such as differences in the training mode, i.e. resistance versus cycling exercise and pattern of muscle activation may be responsible for this observation. Loading to evoke muscle hypertrophy is a key component in neuromuscular training after SCI. The overall effects on lean mass were modest and did not exceed 10% and the effects of training on trunk or pelvic muscles remain unestablished. Most studies reported improvement in glucose metabolism with the enhancement of insulin sensitivity being the major factor following training. The effect on lipid profile is unclear and warrants further investigation.

Indexed as

Body CompositionElectric Stimulation TherapyMetabolomeHumansMetabolic DiseasesSpinal Cord InjuriesBody compositionElectrical stimulation exerciseGlucose metabolismLipid metabolismMetabolic profileSpinal cord injury

Identifiers

PMID25001669
PMCPMC4293531
OpenAlexW2049132743

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.