Evidence map›Paper›PMID 37610796›Full record

ArticleJMIR formative research2023

Pacing Variation in Multistage Ultramarathons: Internet-Based Cross-Sectional Study.

Mielad Fariod, Rafael Reis Olher, Caio Victor Sousa, Volker Scheer, Ivan Cuk, Pantelis Theodoros Nikolaidis, Mabliny Thuany, Katja Weiss, Beat Knechtle

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
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

9 authors.

Mielad FariodDepartment of Orthopedic, Traumatology and Reconstructive Surgery, Klinikum Frankfurt-Höchst, Frankfurt, Germany.ORCID https://orcid.org/0009-0006-6468-7747
Rafael Reis OlherDepartment of Physical Education, University Center of Central Plateau Apparecido dos Santos, Brasilia, Brazil.ORCID https://orcid.org/0000-0002-7363-9273
Caio Victor SousaHealth and Human Sciences, Loyola Marymount University, Los Angeles, CA, United States.ORCID https://orcid.org/0000-0002-0499-2372
Volker ScheerUltra Sports Science Foundation, Pierre-Benite, France.ORCID https://orcid.org/0000-0003-0074-3624
Ivan CukFaculty of Sport and Physical Education, University of Belgrade, Belgrade, .ORCID https://orcid.org/0000-0001-7819-4384
Pantelis Theodoros NikolaidisSchool of Health and Caring Sciences, University of West Attica, Athens, Greece.ORCID https://orcid.org/0000-0001-8030-7122
Mabliny ThuanyFaculty of Sports, University of Porto, Porto, Portugal.ORCID https://orcid.org/0000-0002-6858-1871
Katja WeissInstitute of Primary Care, University Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1247-6754
Beat KnechtleMedbase St Gallen Am Vadianplatz, St Gallen, Switzerland.ORCID https://orcid.org/0000-0002-2412-9103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltramarathon running is the most popular ultraendurance competition in terms of the number of races and runners competing annually worldwide; however, no study has compared pacing and performance over a long period.

objectiveThis study analyzes the pacing of successful finishers and nonfinishers in multistage ultramarathons worldwide.

methodsA total of 4079 athletes (men=3288; women=791) competing in 99 multistage ultramarathon events from 1983 to 2021 were analyzed, including the number of participants, age, gender, rank, and running speed of successful finishers.

resultsThe results showed a significant increase in the number of events (n=338) and a significant increase in the number of finishers and nonfinishers (n=5575) in the ultramarathons worldwide during this period. The general linear models (GLMs) of pacing variation showed nonsignificant effects for gender (F

conclusionsIn summary, multistage ultramarathon competitions showed an increasing number of competitors and a higher performance challenge. Men have a higher pacing (ie, less even) variation than women, especially observed in longer events. A higher pacing variation was associated with lower performance for men, women, and nonfinishers.

Indexed as

gender differencepacingperformanceultramarathonvariation

Identifiers

PMID37610796
PMCPMC10483293

What Socratic 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 Socratic graph.