Evidence map›Paper›PMID 34177523›Full record

ArticleCase reports in oncology

Successful Rechallenge with Osimertinib after Very Acute Onset of Drug-Induced Pneumonitis.

Turab Mohammed, Shaunak Mangeshkar, Joerg Rathmann

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in oncology. 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
0.7field-weighted citation impact, top 28% 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, 8 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

3 authors at 2 institutions in 1 country.

Turab MohammedDepartment of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
Shaunak MangeshkarDepartment of Medicine, Seth G.S. Medical College and K.E.M. Hospital, Mumbai, India.
Joerg RathmannDivision of Hematology and Oncology, Hartford Healthcare Care Institute, Hartford Hospital, Hartford, Connecticut, USA.
Hartford Hospital · USUniversity of Connecticut · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Drug-induced interstitial lung disease (DI-ILD) is a rare, yet life-threatening complication associated with tyrosine-kinase inhibitor (TKI) therapy. Third-generation epidermal growth factor receptor-TKI, osimertinib use can be associated with a benign radiological finding called transient asymptomatic pulmonary opacities that can be confused with an infectious pulmonary process resulting in overtreatment with antibiotics or premature treatment withdrawal or severe DI-ILD. In this case, our patient with newly diagnosed metastatic non-small cell lung cancer on treatment with osimertinib developed very early onset severe DI-ILD (grade-IV) with a unique pattern of pulmonary involvement and was treated with high-dose corticosteroids with a response. She was later successfully rechallenged with osimertinib and responded well to the treatment. Our case highlights the importance of being cognizant of the possibility that DI-ILD can rarely occur within a week of treatment initiation with osimertinib and safe reintroduction of the drug is possible in select patients following complete resolution of pulmonary radiographic findings and clinical symptoms even with high-grade adverse events.

Indexed as

Drug-induced ILDDrug-induced pneumonitisNon-small cell lung cancerOsimertinibTransient asymptomatic pulmonary opacities

Identifiers

PMID34177523
PMCPMC8216030
OpenAlexW3165497828

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.