Evidence map›Paper›PMID 37337553›Full record

ArticleMedicina clinica (English ed.)2023

Comparison of two antifibrotic treatments for lung fibrosis in post-COVID-19 syndrome: A randomized, prospective study.

Buğra Kerget, Gizem Çil, Ömer Araz, Fatih Alper, Metin Akgün

Open access · greenAbstract read
In one paragraph

Article in Medicina clinica (English ed.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Buğra KergetDepartment of Pulmonary Diseases, Ataturk University School of Medicine, 25240 Yakutiye, Erzurum, Turkey.
Gizem ÇilDepartment of Pulmonary Diseases, Ataturk University School of Medicine, 25240 Yakutiye, Erzurum, Turkey.
Ömer ArazDepartment of Pulmonary Diseases, Ataturk University School of Medicine, 25240 Yakutiye, Erzurum, Turkey.
Fatih AlperDepartment of Radiology, Ataturk University School of Medicine, 25240 Yakutiye, Erzurum, Turkey.
Metin AkgünDepartment of Pulmonary Diseases, Ağrı İbrahim Çeçen University School of Medicine, 04100 Ağrı, Turkey.
Atatürk University · TRAğrı İbrahim Çeçen University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although pulmonary fibrosis secondary to COVID-19 infection is uncommon, it can lead to problems if not treated effectively in the early period. This study aimed to compare the effects of treatment with nintedanib and pirfenidone in patients with COVID-19-related fibrosis. Methods: Thirty patients who presented to the post-COVID outpatient clinic between May 2021 and April 2022 with a history of COVID-19 pneumonia and exhibited persistent cough, dyspnea, exertional dyspnea, and low oxygen saturation at least 12 weeks after diagnosis were included. The patients were randomized to receive off-label treatment with nintedanib or pirfenidone and were followed up for 12 weeks. Results: After 12 weeks of treatment, all pulmonary function test (PFT) parameters, 6MWT distance, and oxygen saturation were increased compared to baseline in both the pirfenidone group and nintedanib groups, while heart rate and radiological score levels were decreased ( Conclusion: In patients with interstitial fibrosis after COVID-19 pneumonia, both nintedanib and pirfenidone were observed to be effective in improving radiological score and PFT parameters. Nintedanib was more effective than pirfenidone in increasing exercise capacity and saturation values but caused more adverse drug effects.

Indexed as

COVID-19NintedanibPirfenidone

Identifiers

PMID37337553
PMCPMC10273009
OpenAlexW4380884308

What OpenQuestion holds

Textmetadata
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.