Evidence map›Paper›PMID 30159317›Full record

ArticleFrontiers in cardiovascular medicine2018

Metabolic Reprogramming in the Heart and Lung in a Murine Model of Pulmonary Arterial Hypertension.

Jose L Izquierdo-Garcia, Teresa Arias, Yeny Rojas, Victoria Garcia-Ruiz, Arnoldo Santos, Silvia Martin-Puig, Jesus Ruiz-Cabello

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  9. Phenomic Imaging.Phenomics (Cham, Switzerland) · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Animal models of pulmonary hypertension due to left heart disease.Animal models and experimental medicine · 2022
    Review
  15. Article
  16. Metabolomics-based mechanism exploration of pulmonary arterial hypertension pathogenesis: novel lessons from explanted human lungs.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Article
  17. Review
  18. Article
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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

7 authors at 3 institutions in 1 country.

Jose L Izquierdo-GarciaCIC biomaGUNE, San Sebastian-Donostia, Spain.
Teresa AriasCIBER de Enfermedades Respiratorias, Madrid, Spain.
Yeny RojasCentro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
Victoria Garcia-RuizCentro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
Arnoldo SantosCIBER de Enfermedades Respiratorias, Madrid, Spain.
Silvia Martin-PuigCentro Nacional de Investigaciones Cardiovasculares, Madrid, Spain.
Jesus Ruiz-CabelloCIC biomaGUNE, San Sebastian-Donostia, Spain.
Spanish National Centre for Cardiovascular Research · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESIkerbasque · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant glycolytic shift in the cells of the pulmonary vasculature and right ventricle during pulmonary arterial hypertension (PAH) has been recently described. Due to the late complications and devastating course of any variant of this disease, there is a great need for animal models that reproduce potential metabolic reprograming of PAH. Our objective is to study,

Indexed as

metabolomicsmolecular imagingNMR spectroscopypreclinical modelspulmonary arterial hypertension

Identifiers

PMID30159317
PMCPMC6104186
OpenAlexW2886140570

What OpenQuestion holds

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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.