Evidence map›Paper›PMID 31820260›Full record

ReviewSports medicine - open2019

Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis.

Karim Hader, Michael C Rumpf, Maxime Hertzog, Liam P Kilduff, Olivier Girard, Joao R Silva

Open access · goldAbstract readReview
In one paragraph

Review in Sports medicine - open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 5 pooled it
12.0field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 5 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Metabolomics analyses and physical interventions in soccer: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2024
    Pooled it
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  5. Monitoring Accumulated Training and Match Load in Football: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
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  19. Identifying Optimal Pitch Training Load in Elite Soccer Players.Journal of functional morphology and kinesiology · 2025
    Article
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6 more citing papers are in PubMed but not listed here.

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

6 authors at 6 institutions in 6 countries.

Karim HaderNational Sports Medicine Programme, Excellence in Football Project, Aspetar - Qatar Orthopaedic and Sports Medicine Hospital, P.O BOX 29222, Doha, Qatar.
Michael C RumpfAuckland University of Technology, Sport Performance Research Institute New Zealand, Auckland, New Zealand.
Maxime HertzogNational Sports Medicine Programme, Excellence in Football Project, Aspetar - Qatar Orthopaedic and Sports Medicine Hospital, P.O BOX 29222, Doha, Qatar.
Liam P KilduffA-STEM, College of Engineering, Swansea University, Swansea, UK.
Olivier GirardMurdoch Applied Sport Science Laboratory, Murdoch University, Perth, Western Australia.
Joao R SilvaNational Sports Medicine Programme, Excellence in Football Project, Aspetar - Qatar Orthopaedic and Sports Medicine Hospital, P.O BOX 29222, Doha, Qatar. joao.silva@aspetar.com.ORCID http://orcid.org/0000-0001-5637-179X
Auckland University of Technology · NZEnglish Institute of Sport · GBiXBlue (France) · FRMurdoch University · AUQatar Orthopaedic and Sports Medicine Hospital · QAUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring athletes' external load during a soccer match may be useful to predict post-match acute and residual fatigue. This estimation would allow individual adjustments to training programs to minimize injury risk, improve well-being, and restore players' physical performance and inform the recovery process.

methodsUsing a systematic review and meta-analysis of the literature, the aim is to determine which monitoring variables would be the strongest predictors of acute (immediately) and residual (up to 72 h) fatigue states in soccer. PubMed, SPORTDiscus, and Web of Science databases were searched (until September 2018). Studies concurrently examining soccer match-related external load metrics and subjective and/or objective measures were selected to determine pooled correlations ([Formula: see text]) with confidence intervals (CI). The quality and strength of the findings of each study were evaluated to identify overall levels of evidence.

resultsEleven studies were included (n = 165 athletes). Acute ([Formula: see text] = 0.67; 95% CI = [0.40, 0.94]) and residual (24 h post-match, [Formula: see text] = 0.54; 95% CI = [0.35, 0.65]) changes in muscle damage markers and countermovement jump peak power output (CMJ

conclusionsRunning distance above 5.5 m·s

Indexed as

External loadMonitoring, FatigueMuscle damageNeuromuscular performancePerceptual responsesRecoveryTime motion analysis

Identifiers

PMID31820260
PMCPMC6901634
OpenAlexW2992079210

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.