Evidence map›Paper›PMID 42370293›Full record

ArticlePulmonary circulation2026

Echocardiography-Derived Exercise Pulmonary Hypertension and Longitudinal Changes in Pulmonary Artery Pressures in Systemic Sclerosis: A Non-Invasive Assessment for Risk Stratification.

Kazuki Kagami, Naoki Yuasa, Tomonari Harada, Yuta Tani, Yukie Endo, Noriaki Takama, Naoki Wada, Sei-Ichiro Motegi, Hideki Ishii, Masaru Obokata

Abstract read
In one paragraph

Article in Pulmonary circulation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Kazuki KagamiDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.
Naoki YuasaDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.
Tomonari HaradaDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.
Yuta TaniDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.
Yukie EndoDepartment of Dermatology Gunma University Graduate School of Medicine Maebashi Gunma Japan.ORCID https://orcid.org/0000-0003-3058-6279
Noriaki TakamaDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.
Naoki WadaDepartment of Rehabilitation Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.
Sei-Ichiro MotegiDepartment of Dermatology Gunma University Graduate School of Medicine Maebashi Gunma Japan.ORCID https://orcid.org/0000-0001-8286-0669
Hideki IshiiDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.ORCID https://orcid.org/0000-0003-4348-0123
Masaru ObokataDepartment of Cardiovascular Medicine Gunma University Graduate School of Medicine Maebashi Gunma Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary artery pressures (PAPs) often become abnormal during exercise in patients with systemic sclerosis (SSc). This study sought to determine whether exercise-induced pulmonary hypertension (EIPH) assessed by exercise stress echocardiography (ESE) would be associated with subsequent increases in resting PAPs in patients with SSc. Patients with SSc who underwent serial echocardiography > 6 months apart were retrospectively screened (

Indexed as

echocardiographyexercise‐induced pulmonary hypertensionexercise stress testinglongitudinal changerisk stratificationsystemic sclerosis

Identifiers

PMID42370293
PMCPMC13295142

What OpenQuestion holds

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Registered trials

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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.