Evidence map›Paper›PMID 40586020›Full record

ArticleCJC open2025

Location of Terminal Care in Pulmonary Hypertension.

Ramzi Ibrahim, Adam Habib, April Olson, Farah Shrourou, Hoang Nhat Pham, Mahmoud Abdelnabi, Maryam Emami Neyestanak, Sabrina Soin, See-Wei Low, Bhupinder Natt and 6 more

Abstract read
In one paragraph

Article in CJC open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ramzi IbrahimDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Adam HabibDepartment of Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
April OlsonDepartment of Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
Farah ShrourouUniversity of Arizona College of Medicine-Tucson, Tucson, Arizona, USA.
Hoang Nhat PhamDepartment of Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
Mahmoud AbdelnabiDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Maryam Emami NeyestanakDepartment of Epidemiology and Biostatistics, University of Arizona-Tucson, Tucson, Arizona, USA.
Sabrina SoinDepartment of Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
See-Wei LowDivision of Pulmonary Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Bhupinder NattDepartment of Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
Mamas A MamasKeele Cardiovascular Research Group, Keele University, Keele, United Kingdom.
Timothy BarryDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Chadi AyoubDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Reza ArsanjaniDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Franz P RischardDepartment of Medicine, University of Arizona-Tucson, Tucson, Arizona, USA.
Kwan LeeDepartment of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Death locations for individuals in the US is influenced by social factors. Pulmonary hypertension (PH) is an uncommon condition, with a substantial impact on morbidity and mortality. We evaluated the patterns in and impact of demographics on PH death locations in the US. Methods: From 2005 to 2020, our study identified PH-related deaths through the CDC repository. Patient-level demographic data for the year 2019 were directly queried from the CDC. Locations of death were categorized into 4 groups, as follows: inpatient; outpatient and/or emergency room (ER); home; and hospice and/or nursing facilities. Linear regression models were used to assess trends in proportion of deaths across these locations. Multivariable logistic regression models examined the influence of demographics on the likelihood of death occurring in each location. Results: Between 2005 and 2020, a rise occurred in the proportion of deaths at home (β = 0.006, Conclusions: Our analysis revealed a significant difference in the locations of death for patients with PH in recent years, as influenced by demographic factors.

Identifiers

PMID40586020
PMCPMC12198618

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.