ArticleMedicine2026
Drug-related pulmonary fibrosis: A real-world pharmacovigilance study of the FDA Adverse Event Reporting System.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Pulmonary fibrosis (PF) can lead to respiratory distress, persistent dry cough, and a decline in quality of life, and may be life-threatening in severe cases. The aim is to mine and analyze drug-related PF signals, summarize potential risk medications, and provide references for clinical medication safety. This research accessed data from the US Food and Drug Administration Adverse Event Reporting System covering reports from January 2004 to September 2024. Proportional disproportionality methods were utilized to explore the relationship between drugs and PF, and to assess demographic information, drug-related PF risks, and the timing of PF onset. The Food and Drug Administration Adverse Event Reporting System database contained reports of 830 drugs associated with PF. Through disproportionality analysis and subsequent filtering, 33 drugs were identified as having significant risks. Fifteen antitumor and immunomodulatory drugs (45.45%) were noted, including bleomycin (reporting odds ratio [ROR] = 41.68), interferon gamma-1B (ROR = 12.11), and anagrelide (ROR = 6.63). Four cardiovascular system drugs (12.12%) included amiodarone (ROR = 41.92), dronedarone (ROR = 10.25), and simvastatin (ROR = 6.94). Four respiratory system drugs (12.12%) included indacaterol (ROR = 6.87), salmeterol/fluticasone (ROR = 4.30), and olodaterol (ROR = 3.76). Four antipathogenic microbial drugs (12.12%) included nitrofurantoin (ROR = 22.92), sulfasalazine (ROR = 5.69), and hydroxychloroquine (ROR = 3.51). Six other drugs (18.18%) included iodine-131 (ROR = 19.72), calcium carbonate (ROR = 8.59), and tamsulosin (ROR = 7.48). Amiodarone (Bayesian confidence propagation neural network [BCPNN] = 5.26), bleomycin (BCPNN = 4.95), and nitrofurantoin (BCPNN = 4.40) were the 3 drugs characterized by the greatest associated PF risk. The time to PF onset from antitumor and immunomodulatory drugs was significantly shorter than that from other drug types (P = .0082). The study identified 33 drugs showing disproportionality signals suggestive of potential associations with PF, most notably among antitumor and immunomodulatory agents, which exhibited a significantly shorter time to PF onset compared with other drug classes. The 3 drugs associated with the greatest PF risk were amiodarone, bleomycin, and nitrofurantoin. These findings highlight potential pharmacovigilance signals that warrant clinical vigilance and further validation through prospective studies.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.