Evidence map›Paper›PMID 41522175›Full record

ArticleJournal of thoracic disease2025

Significance of clinical parameters and biomarkers to predict nintedanib-induced diarrhea: an interview-based retrospective study.

Toru Arai, Masakazu Hiramatsu, Naoko Takeuchi, Takayuki Takimoto, Tomoko Kagawa, Ryota Shintani, Mitsuhiro Moda, Masaki Hirose, Tamaki Nakayama, Yoko Yasui

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Toru AraiClinical Research Center, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.ORCID https://orcid.org/0000-0002-2222-0683
Masakazu HiramatsuDepartment of Nutrition and Dietetics, Faculty of Nutrition, Tokyo Kasei University, Tokyo, Japan.
Naoko TakeuchiDepartment of Respiratory Medicine, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Takayuki TakimotoClinical Research Center, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Tomoko KagawaDepartment of Respiratory Medicine, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Ryota ShintaniDepartment of Rehabilitation, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Mitsuhiro ModaDepartment of Respiratory Medicine, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Masaki HiroseClinical Research Center, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Tamaki NakayamaDepartment of Clinical Nutrition, NHO Kinki Chuo Chest Medical Center, Sakai City, Osaka, Japan.
Yoko YasuiDepartment of Nutrition Graduate School of Human Life and Ecology, Osaka Metropolitan University, Osaka City, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a poor prognostic fibrotic interstitial lung disease (ILD) of unknown etiology. Similarly, the prognosis of patients with ILD and progressive pulmonary fibrosis (PPF) is poor. Nintedanib reduces the decline in forced vital capacity (FVC) and improves the survival of patients with IPF and non-IPF ILDs meeting PPF criteria (hereafter "PPF"). Diarrhea is a significant adverse event associated with nintedanib, and it is sometimes the reason for the discontinuation of the drug. In this study, we aimed to identify clinical predictors of nintedanib-induced diarrhea and to clarify significance of ILD biomarkers to predict their occurrence after the adjustment using the significant clinical predictors. Methods: Seventy-nine patients with ILDs treated with nintedanib were included in this study. Diarrhea was retrospectively evaluated based on interviews, and medical records were reviewed for other clinical findings. Furthermore, biomarkers including surfactant protein-D (SP-D) serum levels and peripheral blood monocyte counts were examined. Parameters' predictive abilities were examined using univariate and multivariate logistic regression analyses. Results: Participants comprised 57 males and 22 non-smokers. The underlying ILDs included IPF (n=39) and PPF (n=40). PPF included idiopathic interstitial pneumonia (IIP) other than IPF (n=19), fibrotic hypersensitivity pneumonitis (FHP) (n=8), connective tissue disease-related ILDs (CTD-ILDs) (n=8), and other ILDs (n=5). Fourteen patients underwent corticosteroid therapy at the initiation of nintedanib. Nintedanib-induced diarrhea occurred within 3 months in 47 patients (IPF, n=30; PPF, n=17). IPF, no corticosteroid therapy, nintedanib per body surface area (BSA), and %FVC ≤80% were associated with the occurrence of diarrhea within 3 months after commencing nintedanib treatment by multivariate logistic regression analysis. Additionally, monocyte counts ≤650/µL and serum SP-D >157.5 ng/mL were associated with occurrence of diarrhea after the adjustment of other factors. Conclusions: Nintedanib-induced diarrhea is significantly associated with various complex factors. IPF, no corticosteroid therapy, a higher nintedanib dose per BSA, and a lower %FVC were associated with the occurrence of diarrhea within 3 months of initiating nintedanib therapy. Lower monocyte counts and higher levels of serum SP-D at the initiation of nintedanib might suggest occurrence of diarrhea. Although large-scale studies are needed to draw definite conclusions regarding our hypothesis, the results of our study and hypothesis of nintedanib-induced diarrhea might suggest future research direction and lead to new management of nintedanib-induced diarrhea.

Indexed as

diarrheaM2 macrophagemonocyteNintedanibsurfactant protein-D (SP-D)

Identifiers

PMID41522175
PMCPMC12780375

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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.