Evidence map›Paper›PMID 37823020›Full record

ReviewWorld journal of radiology2023

Role of pulmonary perfusion magnetic resonance imaging for the diagnosis of pulmonary hypertension: A review.

Miriam Lacharie, Adriana Villa, Xenios Milidonis, Hadeer Hasaneen, Amedeo Chiribiri, Giulia Benedetti

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of radiology, 2023. 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
1.0field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 5 institutions in 2 countries.

Miriam LacharieOxford Centre of Magnetic Resonance Imaging, University of Oxford, Oxford OX3 9DU, United Kingdom. miriam.lacharie@cardiov.ox.ac.uk.
Adriana VillaDepartment of Diagnostic and Interventional Radiology, German Oncology Centre, Limassol 4108, Cyprus.
Xenios MilidonisDeep Camera MRG, CYENS Centre of Excellence, Nicosia, Cyprus, Nicosia 1016, Cyprus.
Hadeer HasaneenSchool of Biomedical Engineering & Imaging Sciences, King's College London, London WC2R 2LS, United Kingdom.
Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, Kings Coll London, Div Imaging Sci, St Thomas Hospital, London WC2R 2LS, United Kingdom.
Giulia BenedettiDepartment of Cardiovascular Imaging and Biomedical Engineering, King's College London, London WC2R 2LS, United Kingdom.
King's College London · GBLimassol General Hospital · CYSt Thomas' Hospital · GBUniversity of Cyprus · CYWellcome Centre for Integrative Neuroimaging · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among five types of pulmonary hypertension, chronic thromboembolic pulmonary hypertension (CTEPH) is the only curable form, but prompt and accurate diagnosis can be challenging. Computed tomography and nuclear medicine-based techniques are standard imaging modalities to non-invasively diagnose CTEPH, however these are limited by radiation exposure, subjective qualitative bias, and lack of cardiac functional assessment. This review aims to assess the methodology, diagnostic accuracy of pulmonary perfusion imaging in the current literature and discuss its advantages, limitations and future research scope.

Indexed as

Chronic thromboembolic diseaseChronic thromboembolic pulmonary hypertensionComputed tomography pulmonary angiographyDynamic contrast enhanced magnetic resonance imagingPulmonary hypertensionPulmonary perfusion MRI

Identifiers

PMID37823020
PMCPMC10563854
OpenAlexW4387104993

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.