Evidence map›Paper›PMID 40034146›Full record

ArticlePulmonary circulation2025

Developing Benchmarks in the Diagnosis and Treatment of Pulmonary Arterial Hypertension in a Tertiary, Academic Medical Center.

Cyrus A Kholdani, Justin H Lee, Kai E Swenson, Juliana Liu, Andrew Hsi, Kristina T Kudelko, Andrew J Sweatt, Edda F Spiekerkoetter, Vinicio De Jesus Perez, Joseph Rigdon and 5 more

Abstract read
In one paragraph

Article in Pulmonary circulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Cyrus A KholdaniDivision of Pulmonary Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School Boston Massachusetts USA.ORCID 0000-0001-8082-5683
Justin H LeeQuantitative Sciences Unit Stanford University School of Medicine Stanford California USA.
Kai E SwensonDepartment of Surgery Division of Thoracic Surgery, Beth Israel Deaconess Medical Center Boston Massachusetts USA.ORCID 0000-0001-5746-7013
Juliana LiuDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Andrew HsiDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Kristina T KudelkoDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Andrew J SweattDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Edda F SpiekerkoetterDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Vinicio De Jesus PerezDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Joseph RigdonDepartment of Biostatistics and Data Science Wake Forest University School of Medicine Winston-Salem North Carolina USA.ORCID 0000-0001-6265-0752
Haley HedlinQuantitative Sciences Unit Stanford University School of Medicine Stanford California USA.ORCID 0000-0002-0757-7959
Adam M AndruskaDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Raquel L LynDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Roham T ZamanianDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.
Yon K SungDivision of Pulmonary, Allergy and Critical Care Medicine Stanford University School of Medicine Stanford California USA.

Funding

Reclassifying Pulmonary Arterial Hypertension Into Immune Phenotypes Using Machine LearningK23HL151892 · NHLBI · STANFORD UNIVERSITY · PI SWEATT, ANDREW JOHN · 2020 to 2024
$942k
NHLBI NIH HHS K23 HL151892
6 · The paper itself

Abstract

Benchmarks of clinical management are essential for improving the quality of care. However, the lack of established quality metrics for pulmonary arterial hypertension (PAH) contributes to practice heterogeneity. We assessed our center's diagnostic practices, therapeutic practices, and risk-adjusted survival patterns over time for the purpose of establishing quality benchmarks. We analyzed the demographics, clinical characteristics, and diagnostic evaluation of 702 PAH patients enrolled between 1999 and 2019. We examined outcomes in this cohort, including an analysis of risk stratification, therapeutic practice patterns, hospitalizations, organ transplant, and survival. Initial diagnostic workup of incident PAH cases demonstrated excellent completion of echocardiographic (99%) and pulmonary function testing (91%), with improved completion of VQ scanning over the study time period (90% between 2015 and 2019). Right heart catheterization (RHC) was performed in all patients; RHC performed at our center was more likely to include complete hemodynamic data than those performed at referring institutions (55.4% and 30.4% respectively). The average number of PAH-specific medications prescribed increased over time; however, there was no significant increase in the use of parenteral therapy over time, even when stratified by the REVEAL risk score. Survival rates in the cohort were 94% at 1 year, 75% at 5 years, and 60% at 10 years, comparable to those of other PAH cohorts. Analysis of our well-characterized cohort of PAH patients reveals the extent to which guideline-directed diagnostic and therapeutic care is delivered at our specialty center, and the associated outcomes; these data may serve as a benchmark for continued improvements in quality of PAH care.

Indexed as

practice patternsqualityquality benchmarkingquality control

Identifiers

PMID40034146
PMCPMC11875057

What OpenQuestion holds

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LicenceCC BY-NC
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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.