Evidence map›Paper›PMID 33037592›Full record

ReviewSports medicine (Auckland, N.Z.)2020

Downhill Running: What Are The Effects and How Can We Adapt? A Narrative Review.

Bastien Bontemps, Fabrice Vercruyssen, Mathieu Gruet, Julien Louis

Open access · hybridAbstract readReview
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.0field-weighted citation impact, top 8% 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, 59 citations in OpenAlex.

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  16. Runnability: A Scoping Review.International journal of environmental research and public health · 2025
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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

4 authors at 2 institutions in 2 countries.

Bastien BontempsUniversité de Toulon, Laboratoire IAPS, Toulon, France.
Fabrice VercruyssenUniversité de Toulon, Laboratoire IAPS, Toulon, France.
Mathieu GruetUniversité de Toulon, Laboratoire IAPS, Toulon, France.
Julien LouisResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK. J.B.Louis@ljmu.ac.uk.ORCID http://orcid.org/0000-0002-9109-0958
Université de Toulon · FREnglish Institute of Sport · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Downhill running (DR) is a whole-body exercise model that is used to investigate the physiological consequences of eccentric muscle actions and/or exercise-induced muscle damage (EIMD). In a sporting context, DR sections can be part of running disciplines (off-road and road running) and can accentuate EIMD, leading to a reduction in performance. The purpose of this narrative review is to: (1) better inform on the acute and delayed physiological effects of DR; (2) identify and discuss, using a comprehensive approach, the DR characteristics that affect the physiological responses to DR and their potential interactions; (3) provide the current state of evidence on preventive and in-situ strategies to better adapt to DR. Key findings of this review show that DR may have an impact on exercise performance by altering muscle structure and function due to EIMD. In the majority of studies, EIMD are assessed through isometric maximal voluntary contraction, blood creatine kinase and delayed onset muscle soreness, with DR characteristics (slope, exercise duration, and running speed) acting as the main influencing factors. In previous studies, the median (25th percentile, Q

Indexed as

Muscle, SkeletalMyalgiaRunningHumansIsometric Contraction

Identifiers

PMID33037592
PMCPMC7674385
OpenAlexW3092195181

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.