Evidence map›Paper›PMID 30237884›Full record

ArticleRespirology case reports2018

Nintedanib prevented fibrosis progression and lung cancer growth in idiopathic pulmonary fibrosis.

Kentaro Fukunaga, Shinya Yokoe, Satoru Kawashima, Yasuki Uchida, Hiroaki Nakagawa, Yasutaka Nakano

Open access · goldAbstract readCase Reports
In one paragraph

Article in Respirology case reports, 2018. 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
2.0field-weighted citation impact, top 13% 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, 22 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

6 authors at 1 institution in 1 country.

Kentaro FukunagaDivision of Respiratory Medicine, Department of Internal Medicine Shiga University of Medical Science Otsu Shiga Japan.ORCID 0000-0002-6261-0344
Shinya YokoeDivision of Respiratory Medicine, Department of Internal Medicine Shiga University of Medical Science Otsu Shiga Japan.
Satoru KawashimaDivision of Respiratory Medicine, Department of Internal Medicine Shiga University of Medical Science Otsu Shiga Japan.
Yasuki UchidaDivision of Respiratory Medicine, Department of Internal Medicine Shiga University of Medical Science Otsu Shiga Japan.
Hiroaki NakagawaDivision of Respiratory Medicine, Department of Internal Medicine Shiga University of Medical Science Otsu Shiga Japan.
Yasutaka NakanoDivision of Respiratory Medicine, Department of Internal Medicine Shiga University of Medical Science Otsu Shiga Japan.
Shiga University of Medical Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 76-year-old man with a past history of acute exacerbation (AE) and idiopathic pulmonary fibrosis (IPF) was treated with nintedanib because of decline in his forced vital capacity over time. A new small nodular lesion was visible on a computed tomography scan of the chest before initiation of nintedanib. Disease progression in IPF and change in size of the nodular lesion were not detected during administration of nintedanib. Nine months after starting nintedanib, the patient was diagnosed with acute gangrenous appendicitis, and nintedanib treatment was discontinued. The nodular lesion increased in size four months after the cessation of nintedanib. The nodular lesion was diagnosed as squamous cell carcinoma. In this case, nintedanib inhibited the disease progression of IPF and lung cancer simultaneously. Nintedanib may play an important role in the treatment of IPF-associated lung cancer.

Indexed as

Idiopathic pulmonary fibrosisnintedanibsquamous cell carcinoma

Identifiers

PMID30237884
PMCPMC6138540
OpenAlexW2891433314

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.