Evidence map›Paper›PMID 29399249›Full record

ArticleInternational journal of exercise science

Achilles Tendon Cross Sectional Area Changes Over a Division I NCAA Cross Country Season.

Joshua K Sponbeck, Candace L Perkins, Matthew J Berg, Justin H Rigby

Open access · greenAbstract read
In one paragraph

Article in International journal of exercise science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors at 1 institution in 1 country.

Joshua K SponbeckAthletic Training and Nutrition, Weber State University, Ogden, UT, USA.
Candace L PerkinsAthletic Training and Nutrition, Weber State University, Ogden, UT, USA.
Matthew J BergAthletic Training and Nutrition, Weber State University, Ogden, UT, USA.
Justin H RigbyHealth and Human Performance, Texas State University, San Marcos, TX, USA.
Texas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracking Achilles tendon cross sectional area (CSA) changes may help clinicians understand exercise adaptations and Achilles tendon injury mechanisms. To track adaptations in the Achilles tendon in response to a cross country season.

designLongitudinal study. Musculoskeletal (MSK) ultrasound images were obtained in a research laboratory. Cross country athletes ran with no restrictions outdoors and indoors. Participants were Division I NCAA cross country athletes (N = 24, age = 19.9 ± 2.1 years, mass = 61.32 ± 20.16 kg, height = 168.92 ± 17.16 cm, sex = 8 males and 16 females). Achilles tendon CSA was obtained through MSK ultrasound imaging at a pre-season baseline measurement, every 3 weeks throughout the season, and at post-season for a total of 4 measurements. Participants followed their normal running regimen outlined by their cross country coach. The dependent variable was Achilles tendon CSA measured by ultrasound imaging. We used a repeated measures ANCOVA to determine differences in CSA over the cross country season. CSA increased from baseline (0.439 ± .081 cm), to 0.466 ± 0.096 cm at 3-weeks, to 0.471 ± 0.092 cm 6-weeks, and decreased to 0.451 ± 0.104 cm at the post-season measurement. The 3-week and 6-week measures significantly increased from baseline (F

Indexed as

Achilles tendoinopathytendon hypertrophyTendon remodeling

Identifiers

PMID29399249
PMCPMC5786201
OpenAlexW2771880347

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.