Evidence map›Paper›PMID 29763468›Full record

Trial reportPloS one2018

Clinical phenotypes and survival of pre-capillary pulmonary hypertension in systemic sclerosis.

David Launay, David Montani, Paul M Hassoun, Vincent Cottin, Jérôme Le Pavec, Pierre Clerson, Olivier Sitbon, Xavier Jaïs, Laurent Savale, Jason Weatherald and 7 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Journal of preventive medicine and hygiene · 2026
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  4. Review
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  7. Pulmonary hypertension associated with lung diseases.The European respiratory journal · 2024
    Review
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  11. Review
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  14. Article
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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

17 authors at 5 institutions in 3 countries.

David LaunayUniv. Lille, U995, Lille Inflammation Research International Center (LIRIC), Lille, France.ORCID 0000-0003-1840-1817
David MontaniUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Paul M HassounDivision of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Vincent CottinCentre national de référence des maladies pulmonaires rares, hôpital Louis Pradel, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France.
Jérôme Le PavecUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Pierre ClersonSoladis Clinical Study, Roubaix, France.
Olivier SitbonUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Xavier JaïsUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Laurent SavaleUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Jason WeatheraldUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Vincent SobanskiUniv. Lille, U995, Lille Inflammation Research International Center (LIRIC), Lille, France.
Stephen C MathaiDivision of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Majid ShafiqDivision of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Jean-François CordierCentre national de référence des maladies pulmonaires rares, hôpital Louis Pradel, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France.
Eric HachullaUniv. Lille, U995, Lille Inflammation Research International Center (LIRIC), Lille, France.
Gérald SimonneauUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Marc HumbertUniversité Paris-Sud, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Université Paris-Sud · FRInserm · FRJohns Hopkins University · USUniversité Claude Bernard Lyon 1 · FRCentre Hospitalier de Roubaix · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-capillary pulmonary hypertension (PH) in systemic sclerosis (SSc) is a heterogeneous condition with an overall bad prognosis. The objective of this study was to identify and characterize homogeneous phenotypes by a cluster analysis in SSc patients with PH. Patients were identified from two prospective cohorts from the US and France. Clinical, pulmonary function, high-resolution chest tomography, hemodynamic and survival data were extracted. We performed cluster analysis using the k-means method and compared survival between clusters using Cox regression analysis. Cluster analysis of 200 patients identified four homogenous phenotypes. Cluster C1 included patients with mild to moderate risk pulmonary arterial hypertension (PAH) with limited or no interstitial lung disease (ILD) and low DLCO with a 3-year survival of 81.5% (95% CI: 71.4-88.2). C2 had pre-capillary PH due to extensive ILD and worse 3-year survival compared to C1 (adjusted hazard ratio [HR] 3.14; 95% CI 1.66-5.94; p = 0.0004). C3 had severe PAH and a trend towards worse survival (HR 2.53; 95% CI 0.99-6.49; p = 0.052). Cluster C4 and C1 were similar with no difference in survival (HR 0.65; 95% CI 0.19-2.27, p = 0.507) but with a higher DLCO in C4. PH in SSc can be characterized into distinct clusters that differ in prognosis.

Indexed as

HemodynamicsHypertension, PulmonaryPhenotypeScleroderma, SystemicAgedHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSurvival Rate

Identifiers

PMID29763468
PMCPMC5953495
OpenAlexW2804765270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.