Evidence map›Paper›PMID 26245875›Full record

ArticleSports medicine (Auckland, N.Z.)2015

Classification of Prevention in Sports Medicine and Epidemiology.

Jenny Jacobsson, Toomas Timpka

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Article in Sports medicine (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Can Neurocognitive Function Predict Lower Extremity Injuries in Male Collegiate Athletes?International journal of environmental research and public health · 2020
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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

2 authors.

Jenny JacobssonDepartment of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, Linköping, 581 83, Sweden. jenny.jacobsson@liu.se.
Toomas TimpkaDepartment of Medical and Health Sciences, Faculty of Health Sciences, Linköping University, Linköping, 581 83, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is today recognized that a large share of manifestations of ill health associated with sports participation is preventable and that a focus should be on implementation of effective prevention programs. One hindrance for implementation of effective preventive measures in sports medicine may be that an update of preventive frameworks to the current health challenges has not been performed. We introduce classifications of prevention that are adjusted to the health challenges faced by sports participants in the present day. To enable more precise characterizations of preventive measures, we find it necessary to describe them in two dimensions. In one dimension, pathological developments in the body are used as a basis for classification of preventive measures, while the other dimension classifies prevention on the grounds of epidemiological risk indicators. We conclude that longitudinal research combining diagnostic procedures, surveillance, and targeted interventions is needed to enable the introduction of prevention programs for athletes in the beginning of their sporting career at the pre-diagnostic stage, as well as suitable prevention measures for the adult elite athletes. A more distinct classification of prevention supports a specific and cost-effective planning and translation of sports injury prevention and safety promotion adjusted to the delivery settings, various injury types, and different groups of athletes. The present classifications constitute an additional conceptual foundation for such efforts.

Indexed as

Preventive Health ServicesAthletic InjuriesHumansRisk FactorsSports Medicine

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.