Evidence map›Paper›PMID 33051746›Full record

SynthesisAnnals of biomedical engineering2020

Head Impact Sensor Studies In Sports: A Systematic Review Of Exposure Confirmation Methods.

Declan A Patton, Colin M Huber, Divya Jain, Rachel K Myers, Catherine C McDonald, Susan S Margulies, Christina L Master, Kristy B Arbogast

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
6.7field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  7. Article
  8. Review
  9. Article
  10. Quantitative video analysis of head acceleration events: a review.Frontiers in bioengineering and biotechnology · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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  20. Association Between Head Impact Exposure, Psychological Needs, and Indicators of Mental Health Among U.S. High School Tackle Football Players.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    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

8 authors at 2 institutions in 1 country.

Declan A PattonCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA. pattonda@email.chop.edu.ORCID http://orcid.org/0000-0003-1930-5421
Colin M HuberCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA.
Divya JainCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA.
Rachel K MyersCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA.
Catherine C McDonaldCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA.
Susan S MarguliesWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Christina L MasterCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA.
Kristy B ArbogastCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, 19146, USA.
Children's Hospital of Philadelphia · USGeorgia Institute of Technology · US

Funding

Objective Translational Multi-domain Early Concussion AssessmentR01NS097549 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI ARBOGAST, KRISTY, MARGULIES, SUSAN SHEPS · 2017 to 2021
$4.5M
NINDS NIH HHS R01 NS097549NINDS NIH HHS R01NS097549
6 · The paper itself

Abstract

To further the understanding of long-term sequelae as a result of repetitive head impacts in sports, in vivo head impact exposure data are critical to expand on existing evidence from animal model and laboratory studies. Recent technological advances have enabled the development of head impact sensors to estimate the head impact exposure of human subjects in vivo. Previous research has identified the limitations of filtering algorithms to process sensor data. In addition, observer and/or video confirmation of sensor-recorded events is crucial to remove false positives. The purpose of the current study was to conduct a systematic review to determine the proportion of published head impact sensor data studies that used filtering algorithms, observer confirmation and/or video confirmation of sensor-recorded events to remove false positives. Articles were eligible for inclusion if collection of head impact sensor data during live sport was reported in the methods section. Descriptive data, confirmation methods and algorithm use for included articles were coded. The primary objective of each study was reviewed to identify the primary measure of exposure, primary outcome and any additional covariates. A total of 168 articles met the inclusion criteria, the publication of which has increased in recent years. The majority used filtering algorithms (74%). The majority did not use observer and/or video confirmation for all sensor-recorded events (64%), which suggests estimates of head impact exposure from these studies may be imprecise.

Indexed as

AlgorithmsModels, BiologicalSports MedicineAnimalsAthletic InjuriesBrain ConcussionHumansGeneral sports traumaHead injuries/concussionInjury preventionPediatric sports medicine

Identifiers

PMID33051746
PMCPMC7674240
OpenAlexW3092198509

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.