Evidence map›Paper›PMID 38952897›Full record

ArticleBiology of sport2024

A new approach to comparing the demands of small-sided games and soccer matches.

Mauro Mandorino, Antonio Tessitore, Sebastien Coustou, Andrea Riboli, Mathieu Lacome

Abstract read
In one paragraph

Article in Biology of sport, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

5 authors.

Mauro MandorinoPerformance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy.
Antonio TessitoreDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza L. de Bosis 6, 00135 Rome, Italy.
Sebastien CoustouPerformance and Analytics Department, Parma Calcio 1913, 43121 Parma, Italy.
Andrea RiboliMilanLab Research Department, AC Milan S.p.a., Milan, Italy.
Mathieu LacomeDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Piazza L. de Bosis 6, 00135 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve soccer performance, coaches should be able to replicate the match's physical efforts during the training sessions. For this goal, small-sided games (SSGs) are widely used. The main purpose of the current study was to develop similarity and overload scores to quantify the degree of similarity and the extent to which the SSG was able to replicate match intensity. GPSs were employed to collect external load and were grouped in three vectors (kinematic, metabolic, and mechanical). Euclidean distance was used to calculate the distance between training and match vectors, which was subsequently converted into a similarity score. The average of the pairwise difference between vectors was used to develop the overload scores. Three similarity (Sim

Indexed as

Euclidean distanceExternal loadOverloadPerformanceSimilarity

Identifiers

PMID38952897
PMCPMC11167457

What OpenQuestion holds

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LicenceCC BY-SA
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.