Evidence map›Paper›PMID 31025123›Full record

ReviewCurrent hypertension reports2019

The Use of Risk Assessment Tools and Prognostic Scores in Managing Patients with Pulmonary Arterial Hypertension.

Manreet Kanwar, Amresh Raina, Lisa Lohmueller, Jidapa Kraisangka, Raymond Benza

Open access · greenAbstract readReview
In one paragraph

Review in Current hypertension reports, 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
2.1field-weighted citation impact, top 12% 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, 34 citations in OpenAlex.

  1. Electrocardiographic markers predict hemodynamic parameters in adults with uncorrected secundum atrial septal defect.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
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  6. Artificial Intelligence Technologies in Cardiology.Journal of cardiovascular development and disease · 2023
    Review
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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

5 authors at 3 institutions in 1 country.

Manreet KanwarDepartment of Cardiovascular Disease, Allegheny General Hospital, 320 East North Avenue, Pittsburgh, PA, 15212, USA.
Amresh RainaDepartment of Cardiovascular Disease, Allegheny General Hospital, 320 East North Avenue, Pittsburgh, PA, 15212, USA.
Lisa LohmuellerCarnegie Mellon University, Pittsburgh, PA, USA.
Jidapa KraisangkaUniversity of Pittsburgh, Pittsburgh, PA, USA.
Raymond BenzaDepartment of Cardiovascular Disease, Allegheny General Hospital, 320 East North Avenue, Pittsburgh, PA, 15212, USA. Raymond.benza@ahn.org.
Allegheny General Hospital · USCarnegie Mellon University · USUniversity of Pittsburgh · US

Funding

PHORA: A Clinical Decision Support Tool for Patients with Pulmonary Arterial HypertensionR01HL134673 · NHLBI · OHIO STATE UNIVERSITY · PI BENZA, RAYMOND LOUIS · 2017 to 2020
$2.8M
NHLBI NIH HHS R01 HL134673
6 · The paper itself

Abstract

purpose of reviewPulmonary arterial hypertension (PAH) is a chronic, progressive, and incurable disease with significant morbidity and mortality. Despite increasingly available treatment options, PAH patients continue to experience disease progression and increased rates of hospitalizations due to right heart failure. Physician's ability to comprehensively assess PAH patients, determine prognosis, and monitor disease progression and response to treatment remains critical in optimizing outcomes. RECENT

findingsRisk assessment in PAH should include a range of clinical, hemodynamic, and exercise parameters, performed in a serial fashion over the course of treatment. Approaches to risk assessment in PAH patients include the use of risk variables, scores, and equations that stratify the impact of both modifiable (e.g., 6-min walk distance, functional class, brain natriuretic peptide), and non-modifiable (e.g., age, gender, PAH etiology) risk factors. Such tools allow physicians to better determine prognosis, allocate treatment resources, and enhance the consistency of treatment approaches across providers. Comprehensive and accurate risk prediction is essential to make individualized treatment decisions and optimizing outcomes in PAH.

Indexed as

Severity of Illness IndexAlgorithmsDecision TreesHumansKaplan-Meier EstimatePrognosisPulmonary Arterial HypertensionRisk AssessmentPrognosisPulmonary arterial hypertensionRisk assessmentSurvival

Identifiers

PMID31025123
PMCPMC6756754
OpenAlexW2940901650

What OpenQuestion holds

Textmetadata
LicenceTDM
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.