Evidence map›Paper›PMID 28101850›Full record

ArticleEJNMMI research2017

Assessment of regional pulmonary blood flow using

Carlos Velasco, Jesus Mateo, Arnoldo Santos, Adriana Mota-Cobian, Fernando Herranz, Juan Pellico, Ruben A Mota, Samuel España, Jesus Ruiz-Cabello

Abstract read
In one paragraph

Article in EJNMMI research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Quantitative assessment of myocardial blood flow and extracellular volume fraction usingJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  4. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  5. 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

9 authors.

Carlos VelascoCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Jesus MateoCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Arnoldo SantosCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Adriana Mota-CobianCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Fernando HerranzCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Juan PellicoCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Ruben A MotaCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Samuel EspañaCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain. sespana@cnic.es.ORCID http://orcid.org/0000-0001-9092-4597
Jesus Ruiz-CabelloCentro Nacional de Investigaciones Cardiovasculares Carlos III, C/Melchor Fernández Almagro 3, 28029, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn vivo determination of regional pulmonary blood flow (PBF) is a valuable tool for the evaluation of many lung diseases. In this study, the use of

resultsThe capability of the proposed technique to produce 3D regional PBF images was demonstrated. The correlation evaluation between

conclusionsAssessment of PBF with the proposed technique allows combining the high quantitative accuracy of PET imaging with the use of

Indexed as

Fluorescent microspheresGallium-68PETPulmonary blood flow

Identifiers

PMID28101850
PMCPMC5241570

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Registered trials

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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.