In one paragraphArticle in European heart journal open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Liliana Muñoz-HernandezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0003-2803-4408 Ana Leonor RiveraUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-0296-7966 Adrian Soto-MotaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-9173-7440 Jesus Paez-MayorgaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-3119-8190 Jesus Flores-BritoUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0009-0001-3652-3220 Erick Resendiz-CarrilloUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0009-0004-3583-8361 Guillermo Roa-AlvarezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0009-0009-6415-2525 Leticia Lopez-CarreolaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0009-0007-4941-0720 Sebastian Zamora-GutierrezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0009-0007-1888-7817 Antonio Barajas-MartínezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-5299-0259 Ivette Cruz-BautistaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-2391-6367 Gabriela A Galan-RamírezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-4224-9619 Donaji Veronica Gomez-VelascoUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0001-9648-4932 Fabiola Mabel Del Razo-OlveraUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0002-7266-5381 Carlos A Aguilar-SalinasUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Vasco de Quiroga 15, Tlalpan, Mexico City 14080, Mexico.ORCID https://orcid.org/0000-0001-8517-0241 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Aims/aims: Decreased cardiorespiratory fitness (CRF) is an all-cause mortality predictor. Oxygen consumption at peak exercise (VO Methods and results: Subjects underwent incremental treadmill CPET and bioelectrical impedance analysis. Insulin sensitivity was estimated using the HOMA, QUICKI, and METS-IR indices. Multivariate regressions were used to evaluate determinants of VO Conclusion: In a cohort of individuals without established CVD, the main determinants of CRF were modifiable risk factors associated with excess adiposity and insulin resistance. The potential mechanisms underlying the reduction in CRF include decreased relative muscle mass and insulin resistance, which reduce muscle glucose uptake and O
Indexed as
Cardiopulmonary exercise testCardiorespiratory fitnessHOMA-IRInsulin resistanceQUICKIVO2max
Identifiers
PMID41822003
PMCPMC12978527
What Socratic holds
Textmetadata
LicenceCC BY
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