Evidence map›Paper›PMID 31564854›Full record

ReviewInternational journal of chronic obstructive pulmonary disease2019

Assessing pulmonary hypertension in COPD. Is there a role for computed tomography?

Florence Coste, Ilyes Benlala, Gaël Dournes, Pierre-Olivier Girodet, François Laurent, Patrick Berger

Open access · goldAbstract readReview
In one paragraph

Review in International journal of chronic obstructive pulmonary disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. Measuring pulmonary function in COPD using quantitative chest computed tomography analysis.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Updated Perspectives on Pulmonary Hypertension in COPD.International journal of chronic obstructive pulmonary disease · 2020
    Review
  11. Review
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

6 authors at 1 institution in 1 country.

Florence Coste *University Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, F-33000 France.
Ilyes Benlala *University Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, F-33000 France.
Gaël DournesUniversity Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, F-33000 France.
Pierre-Olivier GirodetUniversity Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, F-33000 France.
François Laurent *University Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, F-33000 France.
Patrick Berger *University Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, F-33000 France.
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD) and is associated with increased morbidity and mortality. Reference standard method to diagnose PH is right heart catheterization. Several non-invasive imaging techniques have been employed in the detection of PH. Among them, computed tomography (CT) is the most commonly used for phenotyping and detecting complications of COPD. Several CT findings have also been described in patients with severe PH. Nevertheless, CT analysis is currently based on visual findings which can lead to reproducibility failure. Therefore, there is a need for quantification in order to assess objective criteria. In this review, progresses in automated analyses of CT parameters and their values in predicting PH and COPD outcomes are presented.

Indexed as

Tomography, X-Ray ComputedHumansHypertension, PulmonaryLungPredictive Value of TestsPrognosisPulmonary Disease, Chronic ObstructiveReproducibility of Resultscomputed tomographyCOPDpredictionpulmonary hypertension

Identifiers

PMID31564854
PMCPMC6732516
OpenAlexW2971736988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.