Evidence map›Paper›PMID 40656985›Full record

ArticleBiology of sport2025

An overview and prediction of 100 mm performance over 40 years during the Athletics World Championships.

Krzysztof Kotuła, Irineu Loturco, Aleksander Matusiñski, Adam Zając, Adam Maszczyk

Abstract read
In one paragraph

Article in Biology of sport, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Krzysztof KotułaInstitute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Irineu LoturcoNucleus of High Performance in Sport, Sao Paulo, Sao Paulo, Brazil.
Aleksander MatusiñskiInstitute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Adam ZającInstitute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.
Adam MaszczykInstitute of Sport Sciences, The Jerzy Kukuczka Academy of Physical Education, Katowice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary aim of this study was to determine whether the significant improvements in 100 m-meter sprint times over the past 40 years are the result of an overall enhancement in performance among all elite sprinters, or are mainly driven by the sporadic emergence of exceptionally talented individuals. Additionally, we compared the average age of the semifinalists with that of the champion. To explore this broader research question, we compared the average performance times and ages of World Championship semifinalists with those of the champions over successive 2-year intervals. This approach allowed us to ascertain whether there has been a consistent improvement in average performances among elite sprinters or whether progress is mainly due to extraordinary athletes who occasionally set new records. By analyzing these patterns, we aimed to understand the underlying factors contributing to advancements in sprint performance and to assess whether these improvements are widespread or concentrated among a few exceptional individuals. Finally, we analyzed the relationship between age and 100 m-meter performance and predicted the results of semifinalists and winners at the Athletics World Championships in 2025 and 2027, for both men and women. The results obtained suggest that progress in sprinting, in both sexes, depends on the emergence of exceptionally talented individuals who set new world records or achieve world-leading times during the main competitions of the season. These exceptionally talented athletes have improved the winning times in the main 100 m-meter competitions, while the average times of semifinalists at the Athletics World Championships have remained relatively constant, ranging between 10.40 and 10.50 seconds over the analyzed 40-year period.

Indexed as

Athletic performanceElite athletesSpeedSprint velocityTrack and field

Identifiers

PMID40656985
PMCPMC12244379

What OpenQuestion holds

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LicenceCC BY
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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.