Evidence map›Paper›PMID 41634975›Full record

ArticlePhysiological reports2026

A Bayesian approach to estimate minute ventilation from heart rate during exercise for assessing environmental exposures of females.

Gustavo Oneda, Fernando Klitzke Borszcz, Raul Würdig, Ricardo Dantas de Lucas, Rosemeri Maurici, Joseph F Welch, Sarah Koch, Ramon Cruz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physiological reports, 2026. 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. 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

8 authors.

Gustavo OnedaEnvironmental Condition and Endurance Performance Analysis Unit (UACAMDA), Physical Effort Laboratory (LAEF), Sports Center, Department of Physical Education, Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.ORCID 0000-0001-6046-1691
Fernando Klitzke BorszczEnvironmental Condition and Endurance Performance Analysis Unit (UACAMDA), Physical Effort Laboratory (LAEF), Sports Center, Department of Physical Education, Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.
Raul WürdigEnvironmental Condition and Endurance Performance Analysis Unit (UACAMDA), Physical Effort Laboratory (LAEF), Sports Center, Department of Physical Education, Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.
Ricardo Dantas de LucasEnvironmental Condition and Endurance Performance Analysis Unit (UACAMDA), Physical Effort Laboratory (LAEF), Sports Center, Department of Physical Education, Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.
Rosemeri MauriciHealth Sciences Center (NUPAIVA), Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.
Joseph F WelchSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK.
Sarah KochDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Ramon CruzEnvironmental Condition and Endurance Performance Analysis Unit (UACAMDA), Physical Effort Laboratory (LAEF), Sports Center, Department of Physical Education, Federal University of Santa Catarina (UFSC), Florianopolis, SC, Brazil.ORCID 0000-0002-1308-5993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating minute ventilation (V̇

Indexed as

Environmental ExposureExerciseHeart RatePulmonary VentilationAdultBayes TheoremExercise TestFemaleHumansOxygen ConsumptionRunningYoung Adultenvironmentexposurefield‐studiesphysical exerciserunning

Identifiers

PMID41634975
PMCPMC12868384

What OpenQuestion 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 OpenQuestion graph.