Evidence map›Paper›PMID 34514739›Full record

Trial reportArthritis & rheumatology (Hoboken, N.J.)2022

Nintedanib in Patients With Systemic Sclerosis-Associated Interstitial Lung Disease: Subgroup Analyses by Autoantibody Status and Modified Rodnan Skin Thickness Score.

Masataka Kuwana, Yannick Allanore, Christopher P Denton, Jörg H W Distler, Virginia Steen, Dinesh Khanna, Marco Matucci-Cerinic, Maureen D Mayes, Elizabeth R Volkmann, Corinna Miede and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report 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. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Biomarkers in Systemic Sclerosis: An Overview.Current issues in molecular biology · 2023
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
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  18. Review
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

14 authors.

Masataka KuwanaNippon Medical School Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-8352-6136
Yannick AllanoreDescartes University, AP-HP, and Cochin Hospital, Paris, France.
Christopher P DentonUniversity College London Division of Medicine, London, UK.ORCID 0000-0003-3975-8938
Jörg H W DistlerUniversity of Erlangen-Nuremberg, Erlangen, Germany.ORCID 0000-0001-7408-9333
Virginia SteenGeorgetown University, Washington, DC, USA.
Dinesh KhannaUniversity of Michigan, Ann Arbor.ORCID 0000-0003-1412-4453
Marco Matucci-CerinicUniversity of Florence, Florence, Italy.
Maureen D MayesUniversity of Texas McGovern Medical School, Houston.ORCID 0000-0001-5070-2535
Elizabeth R VolkmannUniversity of California, Los Angeles.ORCID 0000-0003-3750-6569
Corinna Miedemainanalytics, Sulzbach, Germany.
Martina GahlemannBoehringer Ingelheim, Basel, Switzerland.
Manuel QuaresmaBoehringer Ingelheim International, Ingelheim, Germany.
Margarida AlvesBoehringer Ingelheim International, Ingelheim, Germany.
Oliver DistlerUniversity Hospital Zurich and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0546-8310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUsing data from the SENSCIS trial, these analyses were undertaken to assess the effects of nintedanib versus placebo in subgroups of patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD), based on characteristics previously identified as being associated with the progression of SSc-ILD.

methodsPatients with SSc-ILD were randomized to receive either nintedanib or placebo, stratified by anti-topoisomerase I antibody (ATA) status. We assessed the rate of decline in forced vital capacity (FVC) (expressed in ml/year) over 52 weeks in subgroups based on baseline ATA status, modified Rodnan skin thickness score (MRSS) (<18 versus ≥18), and SSc subtype (limited cutaneous SSc [lcSSc] versus diffuse cutaneous SSc [dcSSc]).

resultsAt baseline, 60.8% of 576 patients who received treatment with either nintedanib or placebo were positive for ATA, 51.9% had dcSSc, and 77.5% of 574 patients with MRSS data available had an MRSS of <18. The effect of nintedanib versus placebo on reducing the rate of decline in FVC (ml/year) was numerically more pronounced in ATA-negative patients compared to ATA-positive patients (adjusted difference in the rate of FVC decline, 57.2 ml/year [95% confidence interval (95% CI) -3.5, 118.0] versus 29.9 ml/year [95% CI -19.1, 78.8]), in patients with a baseline MRSS ≥18 compared to those with a baseline MRSS of <18 (adjusted difference in the rate of FVC decline, 88.7 ml/year [95% CI 7.7, 169.8] versus 26.4 ml/year [95% CI -16.8, 69.6]), and in patients with dcSSc compared to those with lcSSc (adjusted difference in the rate of FVC decline, 56.6 ml/year [95% CI 3.2, 110.0] versus 25.3 ml/year [95% CI -28.9, 79.6]). However, all exploratory interaction P values were nonsignificant (all P > 0.05), indicating that there was no heterogeneity in the effect of nintedanib versus placebo between these subgroups of patients.

conclusionIn patients with SSc-ILD, reduction in the annual rate of decline in FVC among patients receiving nintedanib compared to those receiving placebo was not found to be heterogenous across subgroups based on ATA status, MRSS, or SSc subtype.

Indexed as

AutoantibodiesDisease ProgressionFemaleHumansIndolesLung Diseases, InterstitialMaleProtein Kinase InhibitorsScleroderma, SystemicSkinTreatment OutcomeAutoantibodiesIndolesnintedanibProtein Kinase Inhibitors

Identifiers

PMID34514739
PMCPMC9306495

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.