Evidence map›Paper›PMID 37046439›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Efficacy and Safety of Nintedanib in Patients with Connective Tissue Disease-Interstitial Lung Disease (CTD-ILD): A Real-World Single Center Experience.

Maria Boutel, Afroditi Boutou, Georgia Pitsiou, Alexandros Garyfallos, Theodoros Dimitroulas

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Maria BoutelFourth Department of Internal Medicine, Hippokration University Hospital, Medical School, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.
Afroditi BoutouDepartment of Respiratory Medicine, G. Papanikolaou Hospital, Aristotle University of Thessaloniki, 57010 Pylaia-Chortiatis, Greece.ORCID 0000-0001-7366-2038
Georgia PitsiouDepartment of Respiratory Failure, G. Papanikolaou Hospital, Aristotle University of Thessaloniki, 57010 Pylaia-Chortiatis, Greece.
Alexandros GaryfallosFourth Department of Internal Medicine, Hippokration University Hospital, Medical School, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.
Theodoros DimitroulasFourth Department of Internal Medicine, Hippokration University Hospital, Medical School, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.ORCID 0000-0002-0364-1642
Aristotle University of Thessaloniki · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Connective Tissue Disease-Interstitial Lung Disease (CTD-ILD) is a severe and fatal manifestation of systemic autoimmune disorders. Therapies rely on immunomodulators but their efficacy in ILD progression remains uncertain. Nintedanib, an antifibrotic agent that slows pulmonary function decline, has been approved for CTD-ILD treatment. The aim of this study was to assess the effectiveness and safety of nintedanib in CTD-ILD patients in a real-world data setting. A single-center, retrospective, and descriptive analysis of CTD-ILD patients treated with nintedanib from June 2019 to November 2022 was performed. The assessment of nintedanib treatment's efficacy was judged solely on the evolution of pulmonary function tests (PFTs), which were evaluated before and after treatment. Twenty-one patients (67% females, median age 64 years (IQR = 9) with CTD-ILD (systemic sclerosis

Indexed as

connective tissue interstitial lung diseaseCTD-ILDILDnintedanibreal-world data

Identifiers

PMID37046439
PMCPMC10093288
OpenAlexW4360860509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.