Evidence map›Paper›PMID 38428731›Full record

ArticleJournal of sport and health science2024

Development, validation, and transportability of several machine-learned, non-exercise-based VO

Benjamin T Schumacher, Michael J LaMonte, Andrea Z LaCroix, Eleanor M Simonsick, Steven P Hooker, Humberto Parada, John Bellettiere, Arun Kumar

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of sport and health science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Benjamin T SchumacherHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA. Electronic address: BTS70@pitt.edu.
Michael J LaMonteDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-State University of New York, Buffalo, NY 14214, USA.
Andrea Z LaCroixHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA.
Eleanor M SimonsickTranslational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 21225, USA.
Steven P HookerCollege of Health and Human Services, San Diego State University, San Diego, CA 92182, USA.
Humberto ParadaDivision of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA 92182, USA; University of California San Diego Moores Cancer Center, La Jolla, CA 92093, USA.
John BellettiereHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA.
Arun KumarComputer Science and Engineering and Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA 92093, USA.

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
NCATS NIH HHS UL1 TR001412
6 · The paper itself

Abstract

backgroundThere exist few maximal oxygen uptake (VO

methodsThe Baltimore Longitudinal Study of Aging (BLSA) participants with valid VO

resultsThe age was 69.0 ± 10.4 years (mean ± SD) and the measured VO

conclusionMeasured VO

Indexed as

Machine LearningOxygen ConsumptionAgedAged, 80 and overAgingAlgorithmsBaltimoreFemaleHumansLongitudinal StudiesMaleMiddle AgedMortalitySupport Vector MachineCardiorespiratory fitnessEpidemiologyMortalityPrediction algorithms

Identifiers

PMID38428731
PMCPMC11282333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.