Evidence map›Paper›PMID 41836023›Full record

ArticleFrontiers in pharmacology2026

Prediction of site-specific drug deposition via dry powder inhaler using non-invasive real-time particle emission signal monitoring system.

Sakiko Hatazoe, Daiki Hira, Tetsuri Kondo, Yuki Shigetsura, Natsuki Imayoshi, Yurie Katsube, Keiko Ikuta, Yuki Kunitsu, Keisuke Umemura, Satoshi Hamada and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Sakiko HatazoeDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Daiki HiraDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Tetsuri KondoDepartment of Respiratory Medicine, Shonan Fujisawa Tokushukai Hospital, Fujisawa, Kanagawa, Japan.
Yuki ShigetsuraDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Natsuki ImayoshiDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Yurie KatsubeDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Keiko IkutaDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Yuki KunitsuDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Keisuke UmemuraDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Satoshi HamadaDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Satoshi UeshimaCollege of Pharmaceutical Sciences, Ritsumeikan University, Shiga, Japan.
Shunsaku NakagawaDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Masahiro TsudaDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Susumu SatoDepartment of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Mikio KakumotoCollege of Pharmaceutical Sciences, Ritsumeikan University, Shiga, Japan.
Tomohiro TeradaDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate evaluation of regional drug deposition within the respiratory tract is essential for optimizing inhalation therapy efficacy and minimizing adverse effects. However, non-invasive, real-time quantitative methods for site-specific drug delivery assessment remain limited. Objective: To develop mathematical models to predict site-specific drug deposition from a dry powder inhaler (DPI) using a non-invasive, real-time photo reflection method (PRM). Methods: Using Symbicort Results: Increased PFR and FIR enhanced drug deposition in both the lungs and oropharyngeal region. FPF Conclusion: Using an

Indexed as

dry powder inhalernon-invasivephoto reflection methodreal-time monitoringsite-specific drug deposition

Identifiers

PMID41836023
PMCPMC12982354

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.