Evidence map›Paper›PMID 38623524›Full record

ArticleRespirology case reports2024

Effective treatment of steroid-resistant immune checkpoint inhibitor pneumonitis with mycophenolate mofetil.

Nao Shioiri, Ryota Kikuchi, Itsuka Matsumoto, Kanako Furukawa, Kenichi Kobayashi, Shinji Abe

Open access · goldAbstract readCase Reports
In one paragraph

Article in Respirology case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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.

Nao ShioiriDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Ryota KikuchiDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.ORCID https://orcid.org/0000-0002-0854-3494
Itsuka MatsumotoDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Kanako FurukawaDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Kenichi KobayashiDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Shinji AbeDepartment of Respiratory Medicine Tokyo Medical University Hospital Tokyo Japan.
Tokyo Medical University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insufficient evidence is available for treating steroid-resistant immune checkpoint inhibitor pneumonitis (CIP). Although guidelines recommend the use of immunosuppressants, the efficacy of mycophenolate mofetil (MMF) has not been sufficiently verified. We report two cases of steroid-resistant CIP treated with MMF. Both patients responded to initial treatment with prednisolone (PSL), but the CIP flared up repeatedly as the steroids were gradually tapered off. Upon receiving MMF in addition to PSL, their subjective symptoms improved, and the shadows gradually disappeared, allowing for a reduction in the steroid dose. Ultimately, no CIP recurrence was observed despite discontinuing PSL and MMF. Both cases were completely resolved by treatment with MMF. This indicates that MMF may be effective in treating steroid-resistant CIP. In the future, the effects and safety of MMF should be investigated in large-scale clinical trials targeting patients with steroid-resistant CIP.

Indexed as

immune checkpoint inhibitor pneumonitisimmunosuppressantslung cancermycophenolate mofetilsteroid

Identifiers

PMID38623524
PMCPMC11018367
OpenAlexW4394824758

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.