Evidence map›Paper›PMID 41057734›Full record

ArticleEuropean journal of applied physiology2026

Metabolic energy expenditure during level, uphill, and downhill running.

David P Looney, Wouter Hoogkamer, Rodger Kram

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

David P LooneyCoachMePlus, Buffalo, NY, USA. david.looney.usa@gmail.com.ORCID http://orcid.org/0000-0001-7878-0092
Wouter HoogkamerDepartment of Kinesiology, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0000-0003-0524-0196
Rodger KramDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-2526-1608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo extend the Running Energy Expenditure Estimation (RE3) model for predicting metabolic rates during uphill and downhill running as well as to enhance the Hoogkamer-Taboga-Kram (HTK) equation for estimating metabolic rates during level and uphill running.

methodsWe combined running metabolic data from an original dataset (n = 62) with individual subject data from 26 studies (n = 424) and group mean data from 12 studies (n = 187). Using this integrated dataset, we derived a new graded running term for the empirical RE3 model and updated the HTK equation coefficients for level and uphill running. We then compared the accuracy and precision of these new equations with the established American College of Sports Medicine (ACSM) and Minetti et al. equations based on the root-mean-square deviation (RMSD).

resultsAccuracy and precision of estimating level Ṁ were high for the Minetti et al. (RMSD, 1.44 W kg

conclusionThe improved RE3 and HTK equations estimate metabolic rates during level and graded running with improved accuracy and precision. We provide a publicly available web-based metabolic rate calculator that simplifies estimation for researchers, practitioners, and runners alike.

Indexed as

Energy MetabolismModels, BiologicalRunningAdultFemaleHumansMaleEnergeticsLocomotionMetabolic costRunning economy

Identifiers

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.