Evidence map›Paper›PMID 36238967›Full record

ArticlePulmonary circulation2022

Clinical characteristics and outcomes in pulmonary manifestations of systemic sclerosis: Contribution from pulmonary hypertension and interstitial lung disease severity.

Ruchika A Sangani, Justin K Lui, Kari R Gillmeyer, Marcin A Trojanowski, Andreea M Bujor, Michael P LaValley, Elizabeth S Klings

Open access · goldAbstract read
In one paragraph

Article in Pulmonary circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Observational
  6. Article
  7. Observational
  8. Review
  9. Article
  10. 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

7 authors at 1 institution in 1 country.

Ruchika A SanganiThe Pulmonary Center Boston University School of Medicine Boston Massachusetts USA.ORCID 0000-0003-1982-4408
Justin K LuiThe Pulmonary Center Boston University School of Medicine Boston Massachusetts USA.ORCID 0000-0002-4745-3766
Kari R GillmeyerThe Pulmonary Center Boston University School of Medicine Boston Massachusetts USA.ORCID 0000-0002-5333-259X
Marcin A TrojanowskiArthritis and Autoimmune Diseases Center Boston University School of Medicine Boston Massachusetts USA.ORCID 0000-0003-2583-1591
Andreea M BujorArthritis and Autoimmune Diseases Center Boston University School of Medicine Boston Massachusetts USA.ORCID 0000-0002-8840-8937
Michael P LaValleyDepartment of Biostatistics Boston University School of Public Health Boston Massachusetts USA.ORCID 0000-0002-8488-5170
Elizabeth S KlingsThe Pulmonary Center Boston University School of Medicine Boston Massachusetts USA.ORCID 0000-0003-4879-720X
Boston University · US

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Michael Paul Lavalley · 2019 to 2026
$6.9M
1/2 Sickle Cell Disease and CardiovAscular Risk - Red cell Exchange Trial (SCD-CARRE Trial)UG3HL143192 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GLADWIN, MARK T, TRIULZI, DARRELL J · 2019 to 2019
$1.5M
Determining disparities in treatment of pulmonary arterial hypertension nationallyF32HL149236 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI GILLMEYER, KARI · 2019 to 2020
$157k
Left Ventricular Strain in Systemic Sclerosis-related Pulmonary HypertensionF32HL156614 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LUI, JUSTIN KWAN · 2021 to 2021
$86k
NCATS NIH HHS UL1 TR001430NHLBI NIH HHS F32 HL149236NHLBI NIH HHS F32 HL156614NHLBI NIH HHS UG3 HL143192NIAMS NIH HHS P30 AR072571
6 · The paper itself

Abstract

Patients with systemic sclerosis complicated by both pulmonary hypertension (SSc-PH) and interstitial lung disease (SSc-PH-ILD) have poor prognosis compared to those with SSc-PH or SSc-ILD alone. Little is known of how ILD severity affects outcomes in those with SSc-PH, or how PH severity affects outcomes in those with SSc-ILD. Herein, we aimed to delineate clinical features of patients with SSc-PH and SSc-ILD and determine to what degree PH and ILD severity contribute to mortality in patients with SSc. We conducted parallel retrospective studies in cohorts of patients with SSc-PH and SSc-ILD. We categorized ILD severity by pulmonary function testing and PH severity by cardiopulmonary hemodynamics. Our primary outcome was all-cause mortality from time of PH or ILD diagnosis for the SSc-PH and SSc-ILD cohorts, respectively. We calculated adjusted risks of time to all-cause mortality using Cox proportional hazards models. In patients with SSc-PH, severe ILD (HR: 3.54; 95% CI: 1.05, 11.99) was associated with increased hazards for all-cause mortality. By contrast, mild and moderate ILD were not associated with increased mortality risk. In patients with SSc-ILD, both moderate (HR: 2.65; 95% CI: 1.12, 6.31) and severe PH (HR: 6.60; 95% CI: 2.98, 14.61) were associated with increased hazards for all-cause mortality, while mild PH was not. Through our parallel study design, the risk of all-cause mortality increases as severity of concomitant ILD or PH worsens. Therapies that target slowing disease progression earlier in the disease course may be beneficial.

Indexed as

pulmonary arterial hypertensionpulmonary fibrosisscleroderma

Identifiers

PMID36238967
PMCPMC9535436
OpenAlexW4285588515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.