Evidence map›Paper›PMID 37230098›Full record

SynthesisThe Lancet. Respiratory medicine2023

Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials.

Bryan S Blette, Jude Moutchia, Nadine Al-Naamani, Corey E Ventetuolo, Chao Cheng, Dina Appleby, Ryan J Urbanowicz, Jason Fritz, Jeremy A Mazurek, Fan Li and 2 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in The Lancet. Respiratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Journal of preventive medicine and hygiene · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Searching for an Elusive Phantom - Targeting Estrogen in Pulmonary Hypertension.American journal of respiratory and critical care medicine · 2024
    Article
  10. Treatment algorithm for pulmonary arterial hypertension.The European respiratory journal · 2024
    Review
  11. Review
  12. Review
  13. Article
  14. Pulmonary Hypertension: A Contemporary Review.American journal of respiratory and critical care medicine · 2023
    Review
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Bryan S BletteDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Clinical Trials Methods and Outcomes Lab, Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jude MoutchiaDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Nadine Al-NaamaniDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Corey E VentetuoloDepartment of Health Services, Policy and Practice, Brown University, Providence, RI, USA; Division of Pulmonary, Critical Care and Sleep Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
Chao ChengDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Dina ApplebyDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ryan J UrbanowiczDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Jason FritzDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Jeremy A MazurekDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Fan LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Steven M KawutDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Michael O HarhayDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Clinical Trials Methods and Outcomes Lab, Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: mharhay@pennmedicine.upenn.edu.
University of Pennsylvania · USYale University · USBrown University · USCedars-Sinai Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Mentored Patient-Oriented Research in Pulmonary Arterial HypertensionK24HL103844 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KAWUT, STEVEN M · 2011 to 2020
$1.6M
Obesity in Pulmonary Arterial HypertensionK23HL141584 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI AL-NAAMANI, NADINE · 2018 to 2022
$970k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K23 HL141584NHLBI NIH HHS K24 HL103844
6 · The paper itself

Abstract

backgroundTargeting short-term improvements in multicomponent risk scores for mortality in patients with pulmonary arterial hypertension (PAH) could result in improved long-term outcomes. We aimed to determine whether PAH risk scores were adequate surrogates for clinical worsening or mortality outcomes in PAH randomised clinical trials (RCTs).

methodsWe performed an individual participant data meta-analysis of RCTs selected from PAH trials provided by the US Food and Drug Administration (FDA). We calculated predicted risk using the COMPERA, COMPERA 2.0, non-invasive FPHR, REVEAL 2.0, and REVEAL Lite 2 risk scores. The primary outcome of interest was time to clinical worsening, a composite endpoint composed of any of the following events: all-cause death, hospitalisation for worsening PAH, lung transplantation, atrial septostomy, discontinuation of study treatment (or study withdrawal) for worsening PAH, initiation of parenteral prostacyclin analogue therapy, or decrease of at least 15% in 6-min walk distance from baseline, combined with either worsening of WHO functional class from baseline or the addition of an approved PAH treatment. The secondary outcome of interest was time to all-cause mortality. We assessed the surrogacy of these risk scores, parameterised as attainment of low-risk status by 16 weeks, for improvement in long-term clinical worsening and survival using mediation and meta-analysis frameworks.

findingsOf 28 trials received from the FDA, three RCTs (AMBITION, GRIPHON, and SERAPHIN; n=2508) had the data necessary to assess long-term surrogacy. The mean age was 49 years (SD 16), 1956 (78%) participants were women, 1704 (68%) were classified as White, and 280 (11%) were Hispanic or Latino. 1388 (55%) of 2503 participants with available data had idiopathic PAH and 776 (31%) of 2503 had PAH associated with connective tissue disease. In a mediation analysis, the proportions of treatment effects explained by attainment of low-risk status ranged only from 7% to 13%. In a meta-analysis of trial-regions, the treatment effects on low-risk status were not predictive of the treatment effects on time to clinical worsening (R

interpretationMulticomponent risk scores have utility for the prediction of outcomes in patients with PAH. Clinical surrogacy for long-term outcomes cannot be inferred from observational studies of outcomes. Our analyses of three PAH trials with long-term follow-up suggest that further study is necessary before using these or other scores as surrogate outcomes in PAH RCTs or clinical care.

fundingCardiovascular Medical Research and Education Fund, US National Institutes of Health.

Indexed as

Pulmonary Arterial HypertensionEpoprostenolFamilial Primary Pulmonary HypertensionFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicRisk FactorsEpoprostenol

Identifiers

PMID37230098
PMCPMC10592525
OpenAlexW4377233879

What OpenQuestion holds

Textmetadata
LicenceTDM
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.