Evidence map›Paper›PMID 37113513›Full record

ArticleInternational journal of exercise science2023

Prediction of Rowing Functional Threshold Power Using Body Mass, Blood Lactate and GxT Peak Power Data.

Eanna McGRATH, Nick Mahony, Neil Fleming, Bernard Donne

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of exercise science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Evaluation of Physical Performance in Rowing Ergometer: A Systematic Review.Journal of functional morphology and kinesiology · 2025
    Review
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.

Eanna McGRATHHuman Performance Laboratory, Disciplines of Anatomy and Physiology, School of Medicine, Trinity College Dublin, IRL.
Nick MahonyHuman Performance Laboratory, Disciplines of Anatomy and Physiology, School of Medicine, Trinity College Dublin, IRL.
Neil FlemingHuman Performance Laboratory, Disciplines of Anatomy and Physiology, School of Medicine, Trinity College Dublin, IRL.
Bernard DonneHuman Performance Laboratory, Disciplines of Anatomy and Physiology, School of Medicine, Trinity College Dublin, IRL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional Threshold Power (FTP) is a validated index of a maximal quasi steady-state cycling intensity. The central component of the FTP test is a maximal 20-min time-trial effort. A model to predict FTP from a cycling graded exercise test (m-FTP) was published that estimated FTP without the requirement of the exhaustive 20-min time-trial. The predictive model (m-FTP) was trained (developed to find the best combination of weights and bias) on a homogenous group of highly-trained cyclists and triathletes. This investigation appraised the external validity of the m-FTP model

Indexed as

club-level rowersFTP predictive equationheterogeneously-trainedLoad at FBLC-4

Identifiers

PMID37113513
PMCPMC10124727

What OpenQuestion holds

Textmetadata
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.