Evidence map›Paper›PMID 40510457›Full record

ArticleBMJ open sport & exercise medicine2025

Effect of football cleat stud shape, sex and fatigue state on plantar loading during lateral cutting.

Emily Karolidis, Alex Denton, Michael Hahn

Abstract read
In one paragraph

Article in BMJ open sport & exercise medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. 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

3 authors.

Emily KarolidisUniversity of Oregon, Eugene, Oregon, USA.
Alex DentonUniversity of Oregon, Eugene, Oregon, USA.
Michael HahnHuman Physiology, University of Oregon, Eugene, Oregon, USA.ORCID 0000-0001-5024-700X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Consequential interactions at the cleat-surface interface are associated with non-contact torsional injury mechanics, such as anterior cruciate ligament (ACL) injury, in football.This study investigates the effect of sex and fatigue on plantar pressure distribution and centre of pressure excursion in cleated footwear geometries of higher (bladed) and lower (elliptical) available traction to better understand the aetiology of female injury patterns. Methods: College-aged football participants (10 male, 10 female) performed a fatiguing running and cutting protocol in cleated footwear of different stud shapes. Insole pressure was recorded during intermittent lateral cuts across a multistage fatigue protocol. Peak plantar pressure during the initial cutting stance and centre of pressure trajectory across the full cutting stance were compared across both cleat types and with fatigue progression. Results: Significant main and interaction effects of sex, cleat and fatigue were found on peak pressure across the anterior heel, medial forefoot and lateral toes. Results suggest elliptical cleats increased peak pressure during the initial cutting stance compared with bladed cleats. Systemic fatigue progression increased the mediolateral centre of pressure excursion and posterolateral peak pressure. This posterolateral deviation is largest among females in the bladed cleat, potentially indicative of instability. Conclusion: Results suggest optimising cleated footwear for female athletes during their most susceptible fatigued state. Data suggest improving lateral and posterior stud arrangement on a female-informed cleat design to reduce posterolateral excursion during cutting stance.

Indexed as

ACLFatigueFootballShoes

Identifiers

PMID40510457
PMCPMC12161356

What OpenQuestion holds

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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.