Evidence map›Paper›PMID 34313399›Full record

ReviewArthritis & rheumatology (Hoboken, N.J.)2022

Systemic Sclerosis-Associated Interstitial Lung Disease: How to Incorporate Two Food and Drug Administration-Approved Therapies in Clinical Practice.

Dinesh Khanna, Alain Lescoat, David Roofeh, Elana J Bernstein, Ella A Kazerooni, Michael D Roth, Fernando Martinez, Kevin R Flaherty, Christopher P Denton

Registry-linked trialAbstract readReview
In one paragraph

Review in Arthritis & rheumatology (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06297096 (Multicentre Clinical Trial Evaluating the Safety and Efficacy of the Combination of Nintedanib+Tocilizumab Compared to Standard Treatment in Patients With Systemic Sclerosis and Interstitial Lung Disease. Analysis With Theranostic Approach), which is not on this map. Cited by 57 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 7 pooled it
–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.

NCT06297096 phase3recruitingnot on this mapstarted 2025, after this paper: background citation

Multicentre Clinical Trial Evaluating the Safety and Efficacy of the Combination of Nintedanib+Tocilizumab Compared to Standard Treatment in Patients With Systemic Sclerosis and Interstitial Lung Disease. Analysis With Theranostic Approach

TypeinterventionalSponsorNational Institute of Geriatrics, Rheumatology and Rehabilitation, PolandRan2025 to 2028Enrolled86ConditionsSystemic Sclerosis, Interstitial Lung DiseaseArmsTocilizumab, Nintedanib, Standard therapy
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Dinesh KhannaUniversity of Michigan, Ann Arbor.ORCID 0000-0003-1412-4453
Alain LescoatUniversity of Michigan, Ann Arbor, and University of Rennes 1, Centre Hospitalier Universitaire Rennes, INSERM, École des Hautes Études en Santé Publique, and Institut de Recherche en Santé, Environnement et Travail, Rennes, France.ORCID 0000-0003-2081-8558
David RoofehUniversity of Michigan, Ann Arbor.
Elana J BernsteinColumbia University Irving Medical Center, New York, New York.
Ella A KazerooniUniversity of Michigan, Ann Arbor.
Michael D RothUniversity of California, Los Angeles.
Fernando MartinezNew York University and Cornell University, New York.
Kevin R FlahertyUniversity of Michigan, Ann Arbor.
Christopher P DentonUniversity College of London, London, UK.ORCID 0000-0003-3975-8938

Funding

TRAINING OF ARTHRITIS RESEARCH SCIENTISTST32AR007080 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jason Knight · 1986 to 2026
$6.3M
Outcomes Research in Rheumatic DiseasesK24AR063120 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2012 to 2022
$1.6M
Screening Chest CT to Detect Interstitial Lung Disease in Systemic SclerosisK23AR075112 · NIAMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BERNSTEIN, ELANA · 2019 to 2023
$794k
Systemic Sclerosis-Associated Interstitial Lung Disease Response IndexR01AR070470 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2017 to 2019
$642k
NIAMS NIH HHS K23 AR075112NIAMS NIH HHS K23-AR075112NIAMS NIH HHS K24 AR063120NIAMS NIH HHS K24-AR063120NIAMS NIH HHS R01 AR070470NIAMS NIH HHS T32 AR007080NIAMS NIH HHS T32-AR007080
6 · The paper itself

Abstract

Systemic sclerosis (SSc; scleroderma) has the highest individual mortality of all rheumatic diseases, and interstitial lung disease (ILD) is among the leading causes of SSc-related death. Two drugs are now approved by the US Food and Drug Administration (FDA) and indicated for slowing the rate of decline in pulmonary function in patients with SSc-associated ILD (SSc-ILD): nintedanib (a tyrosine kinase inhibitor) and tocilizumab (the first biologic agent targeting the interleukin-6 pathway in SSc). In addition, 2 generic drugs with cytotoxic and immunoregulatory activity, mycophenolate mofetil and cyclophosphamide, have shown comparable efficacy in a phase II trial but are not FDA-approved for SSc-ILD. In light of the heterogeneity of the disease, the optimal therapeutic strategy for the management of SSc-ILD is still to be determined. The objectives of this review are 2-fold: 1) review the body of research focused on the diagnosis and treatment of SSc-ILD; and 2) propose a practical approach for diagnosis, stratification, management, and therapeutic decision-making in this clinical context. This review presents a practical classification of SSc patients in terms of disease severity (subclinical versus clinical ILD) and associated risk of progression (low versus high risk). The pharmacologic and nonpharmacologic options for first- and second-line therapy, as well as potential combination approaches, are discussed in light of the recent approval of tocilizumab for SSc-ILD.

Indexed as

Antibodies, Monoclonal, HumanizedDrug ApprovalHumansIndolesLung Diseases, InterstitialScleroderma, SystemicUnited StatesAntibodies, Monoclonal, HumanizedIndolesnintedanibtocilizumab

Identifiers

PMID34313399
PMCPMC8730677

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Read underepoch 390

Registered trials

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.