Evidence map›Paper›PMID 40322548›Full record

ArticleMolecular and clinical oncology2025

Perioperative nintedanib for lung resection in patients with idiopathic pulmonary fibrosis.

Ryusuke Sumiya, Takamitsu Banno, Hiroyasu Ueno, Shunki Hirayama, Kenji Suzuki

Abstract read
In one paragraph

Article in Molecular and clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Ryusuke SumiyaDepartment of General Thoracic Surgery, Juntendo University Nerima Hospital, Tokyo 177-8521, Japan.
Takamitsu BannoDepartment of General Thoracic Surgery, Juntendo University Nerima Hospital, Tokyo 177-8521, Japan.
Hiroyasu UenoDepartment of General Thoracic Surgery, Juntendo University Nerima Hospital, Tokyo 177-8521, Japan.
Shunki HirayamaDepartment of General Thoracic Surgery, Juntendo University Nerima Hospital, Tokyo 177-8521, Japan.
Kenji SuzukiDepartment of General Thoracic Surgery, Juntendo University School of Medicine, Tokyo 113-0033, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although nintedanib, an anti-fibrotic drug, relieves the chronological worsening of pulmonary function and prevents acute exacerbations of interstitial pneumonia, the perioperative safety and efficacy of nintedanib remains to be elucidated. The present study aimed to examine the safety and efficacy of nintedanib in patients with interstitial pneumonia. This study included 12 patients who underwent lung resection, including bilobectomy (n=2), lobectomy (n=7), segmentectomy (n=2) and wedge resection (n=1) between January 2020 and August 2023 at Juntendo University Nerima Hospital (Tokyo, Japan). Nintedanib was administered preoperatively to 10 male and two female patients with idiopathic pulmonary fibrosis and stage I to III lung cancer. The nintedanib dosing period ranged from 14 to 43 days. None of the patients canceled or postponed surgery because of side effects of nintedanib. Although prolonged air leak (n=3), surgical site infection (n=2), pyothorax (n=1), heart failure (n=1) and pleurisy (n=1) were observed postoperatively, the 30-day mortality rate was 0, with no acute exacerbation of interstitial pneumonia. These results encourage further investigation into the potential of nintedanib treatment in a larger patient cohort through prospective verification.

Indexed as

acute exacerbationidiopathic pulmonary fibrosisnintedanib

Identifiers

PMID40322548
PMCPMC12046624

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.