Evidence map›Paper›PMID 31285303›Full record

Trial reportThe European respiratory journal2019

Cardiovascular safety of nintedanib in subgroups by cardiovascular risk at baseline in the TOMORROW and INPULSIS trials.

Imre Noth, Marlies Wijsenbeek, Martin Kolb, Francesco Bonella, Lizette Moros, Daniel Wachtlin, Tamera J Corte

Open access · hybridAbstract readClinical Trial, Phase IIClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in The European respiratory journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

7 authors at 6 institutions in 5 countries.

Imre NothDivision of Pulmonary and Critical Care Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA IN2C@hscmail.mcc.virginia.edu.
Marlies WijsenbeekDept of Pulmonary Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Martin KolbDept of Respiratory Medicine, Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.ORCID 0000-0003-3837-1467
Francesco BonellaInterstitial and Rare Lung Disease Unit, Ruhrlandklinik, University Hospital, University of Duisburg-Essen, Essen, Germany.
Lizette MorosBoehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany.
Daniel WachtlinBoehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany.
Tamera J CorteRoyal Prince Alfred Hospital, Camperdown, Australia.
Boehringer Ingelheim (Germany) · DEErasmus MC · NLMcMaster University · CARuhrlandklinik · DEThe University of Sydney · AUUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nintedanib is a tyrosine kinase inhibitor used to treat idiopathic pulmonary fibrosis (IPF). We investigated the cardiovascular safety of nintedanib using pooled data from the TOMORROW and INPULSIS trials.Cardiovascular events were assessed

Indexed as

AgedAtherosclerosisCardiovascular DiseasesClinical Trials as TopicDisease ProgressionFemaleHumansIdiopathic Pulmonary FibrosisIncidenceIndolesMaleMiddle AgedMyocardial InfarctionPatient SafetyProtein Kinase InhibitorsRisk FactorsIndolesnintedanibProtein Kinase Inhibitors

Identifiers

PMID31285303
PMCPMC6766682
OpenAlexW2957730136

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.