Evidence map›Paper›PMID 25362859›Full record

ArticleJournal of athletic enhancement2014

Diagnostic Differences for Anterior Knee Pain between Sexes in Adolescent Basketball Players.

Kim D Barber Foss, Gregory D Myer, Robert A Magnussen, Timothy E Hewett

Abstract read
In one paragraph

Article in Journal of athletic enhancement, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Sex differences in neuromuscular control of quadriceps.European journal of applied physiology · 2020
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Patellofemoral pain in athletes.Open access journal of sports medicine · 2017
    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

4 authors at 1 institution in 1 country.

Kim D Barber FossDivision of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA ; Sports Medicine Biodynamics Center and Human Performance Laboratory, Cincinnati, Ohio, USA ; Rocky Mountain University of Health Professions, Provo, Utah, USA ; Division of Health Sciences, Department of Athletic Training, College of Mount St. Joseph, Cincinnati, Ohio, USA.
Gregory D MyerDivision of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA ; Sports Medicine Biodynamics Center and Human Performance Laboratory, Cincinnati, Ohio, USA ; Department of Pediatrics and Orthopaedic Surgery, University of Cincinnati, Cincinnati, Ohio, USA ; Sports Health and Performance Institute, The Ohio State University Medical Center, Columbus, Ohio, USA ; The Micheli Center for Sports Injury Prevention, Boston, MA, USA ; Department of Orthopaedic Surgery, University of Cincinnati, Cincinnati, Ohio, USA.
Robert A MagnussenDepartment of Orthopaedics, The Ohio State University College of Medicine, Columbus, Ohio, USA ; Sports Health and Performance Institute, The Ohio State University Medical Center, Columbus, Ohio, USA.
Timothy E HewettDivision of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA ; Sports Medicine Biodynamics Center and Human Performance Laboratory, Cincinnati, Ohio, USA ; Department of Pediatrics and Orthopaedic Surgery, University of Cincinnati, Cincinnati, Ohio, USA ; Departments of Biomedical Engineering and Rehabilitation Sciences, University of Cincinnati, Cincinnati, Ohio, USA.
Cincinnati Children's Hospital Medical Center · US

Funding

Multi-faceted Approach to Modeling ACL Injury MechanismsR01AR056259 · NIAMS · OHIO STATE UNIVERSITY · PI HEWETT, TIMOTHY E · 2009 to 2017
$4.9M
IDENTIFYING FEMALE ATHLETES AT HIGH RISK FOR ACL INJURYR01AR049735 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI HEWETT, TIMOTHY E · 2004 to 2008
$2.6M
NIAMS NIH HHS R01 AR049735NIAMS NIH HHS R01 AR056259
6 · The paper itself

Abstract

backgroundThe purpose of this study was to determine if there is a sex difference in the prevalence of specific patellofemoral disorders that cause anterior knee pain in adolescent basketball players undergoing pre-participation screening.

methods

settingBiomechanical Laboratory.

methods

participantsA total of 810 (688 female and 122 male) basketball players from a single county public school district.

methods

main outcome measuresPrior to the start of three consecutive basketball seasons, participants were evaluated for anterior knee pain. Testing consisted of completion of the Anterior Knee Pain Scale. Those with positive findings completed an IKDC form, a standardized history and a physician-administered physical examination.

resultsAnterior knee pain was noted in 410 of 1620 knees (25.3%). 26.6% of female knees and 18.0% of male knees were affected (p<0.05). Patellofemoral dysfunction (PFD) was the most common diagnosis with an overall prevalence of 6.4% (7.3% females; 1.2% males). Less common were Sinding-Larsen-Johanssen disease (SLJ), 4.8% (5.0% females; 3.7% males), Osgood-Schlatter Disease (OSD) 2.5% (2.3% females; 4.1% males); and plica syndrome 2.3% (2.1% females; 3.3% males). The remaining diagnoses (trauma, fat pad syndrome, IT band and pes anserine bursitis) had a combined prevalence of 1.7% (1.9% females; 1.6% males).

conclusionsPFD was significantly more common in females (p<0.05). Anterior knee pain was more common in adolescent female basketball players than in adolescent male basketball players. LEVEL OF EVIDENCE: Descriptive Laboratory Study. Level 1.

Indexed as

Anterior knee painFemale athletesPFDPFPS

Identifiers

PMID25362859
PMCPMC4214064
OpenAlexW2129219043

What OpenQuestion holds

Textmetadata
LicenceTDM
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.