Evidence map›Paper›PMID 28516252›Full record

ArticleEuropean journal of applied physiology2017

Chronic eccentric arm cycling improves maximum upper-body strength and power.

Steven J Elmer, Dakota J Anderson, Travis R Wakeham, Matthew A Kilgas, John J Durocher, Stan L Lindstedt, Paul C LaStayo

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Steven J ElmerDepartment of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, MI, 49931, USA. sjelmer@mtu.edu.
Dakota J AndersonDepartment of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, MI, 49931, USA.
Travis R WakehamDepartment of Biological Sciences, Michigan Technological University, Houghton, MI, 49931, USA.
Matthew A KilgasDepartment of Kinesiology and Integrative Physiology, Michigan Technological University, Houghton, MI, 49931, USA.
John J DurocherDepartment of Biological Sciences, Michigan Technological University, Houghton, MI, 49931, USA.
Stan L LindstedtDepartment of Biology, Northern Arizona University, Flagstaff, AZ, 86001, USA.
Paul C LaStayoDepartment of Physical Therapy, University of Utah, Salt Lake City, UT, 84108, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEccentric leg cycling (cycle ergometry adapted to impose muscle lengthening contractions) offers an effective exercise for restoring lower-body muscular function, maintaining health, and improving performance in clinical and athletic populations. PURPOSE: We extended this model to the upper body and evaluated the effectiveness of a 7-week eccentric arm cycling (ECC

methodsParticipants performed ECC

resultsDuring training, heart rates and perceived exertion did not differ between groups (~68% upper-body peak heart rate, ~12 Borg units, both P > 0.05), whereas power during ECC

conclusionUpper-body eccentric exercise improved dynamic muscular function while training at low exertion levels. Results occurred with minimal soreness and without compromising arterial function. ECC

Indexed as

ExerciseMuscle StrengthVascular StiffnessAdultArmEnergy MetabolismFemaleHumansMaleMuscle, SkeletalPhysical FitnessTorsoWater SportsArterial stiffnessCycle ergometryExercise trainingLengthening contractionsNeuromuscular function

Identifiers

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.