Evidence map›Paper›PMID 39881354›Full record

Observational studyBMC pulmonary medicine2025

Predictive factors of fibrotic interstitial lung abnormality on high-resolution computed tomography scans: a prospective observational study.

Kazuya Ichikado, Hidenori Ichiyasu, Kazuhiro Iyonaga, Kodai Kawamura, Yuko Yasuda, Keisuke Anan, Hiroko Okabayashi, Kimitaka Akaike, Noritaka Higashi, Takeshi Johkoh and 6 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMC pulmonary medicine, 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. Review
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.

Kazuya IchikadoDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chu-oh Ku, Kumamoto, 861-4101, Japan. kazuichi6443@gem.bbiq.jp.
Hidenori IchiyasuDepartment of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, 860-8556, Japan.
Kazuhiro IyonagaDepartment of Respiratory Medicine, Kumamoto Red Cross Hospital, 2-1-1 Nagamineminami, Higashi-ku, Kumamoto, 861-8039, Japan.
Kodai KawamuraDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chu-oh Ku, Kumamoto, 861-4101, Japan.
Yuko YasudaDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chu-oh Ku, Kumamoto, 861-4101, Japan.
Keisuke AnanDivision of Respiratory Medicine, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chu-oh Ku, Kumamoto, 861-4101, Japan.
Hiroko OkabayashiDepartment of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, 860-8556, Japan.
Kimitaka AkaikeDepartment of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, 860-8556, Japan.
Noritaka HigashiJapanese Red Cross Kumamoto Health Care Center, 2-1-1 Nagamineminami, Higashi-ku, Kumamoto, 861-8528, Japan.
Takeshi JohkohDepartment of Radiology, Kansai Rosai Hospital, Hyogo, 660-8511, Japan.
Kiminori FujimotoDepartment of Radiology, Kurume University School of Medicine and Centre for Diagnostic Imaging, Kurume University Hospital, 67 Asahi-machi, Kurume, Fukuoka, 830-0011, Japan.
Tetsuo SaitoDivision of Integrative Medical Oncology, Saiseikai Kumamoto Hospital, 5-3-1 Chikami, Chu-oh Ku, Kumamoto, 861-4101, Japan.
Jun MorinagaDepartment of Clinical Investigation (Biostatistics), Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Minoru YoshidaJapanese Red Cross Kumamoto Health Care Center, 2-1-1 Nagamineminami, Higashi-ku, Kumamoto, 861-8528, Japan.
Katsuhiko MitsuzakiCenter for Preventive Medicine, 5-3-1 Chikami, Chu-oh Ku, Kumamoto, 861-4101, Japan.
Takuro SakagamiDepartment of Respiratory Medicine, Faculty of Life Sciences, Kumamoto University, Kumamoto 1-1-1 Honjo, Chuo-ku, 860-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibrotic types of interstitial lung abnormalities seen on high-resolution computed tomography scans, characterised by traction bronchiolectasis/bronchiectasis with or without honeycombing, are predictors of progression and poor prognostic factors of interstitial lung abnormalities. There are no reports on the clinical characteristics of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans. Therefore, we aimed to examine these clinical characteristics and clarify the predictive factors of fibrotic interstitial lung abnormalities on high-resolution computed tomography scans.

methodsClinical and paraclinical data of 164 patients enrolled in the initial year of a multicentre prospective observational study (Kumamoto interstitial lung abnormalities study in Japan) involving over 62,000 examinees during routine health examinations were analysed. Clinical laboratory evaluations are expressed as medians and interquartile ranges for each evaluation time point, and boxplots were created for graphical representation. The percentages of abnormal clinical laboratory results were compared between the groups using chi-square or Fisher's exact tests. Univariate or multivariate logistic regression analyses were performed to analyse the relationship between fibrotic interstitial lung abnormalities and other clinical factors.

resultsFibrotic interstitial lung abnormalities were observed on high-resolution computed tomography scans in 135 (82%) patients at the time of diagnosis. Multivariate analysis showed that older age (Odds ratio, 1.06; 95% confidence interval, 1.01-1.12; p = 0.021), auscultatory fine crackles (Odds ratio, 3.39; 95% confidence interval, 1.33-8.65; p < 0.01), and elevated serum surfactant protein-D (Odds ratio, 2.68; 95% confidence interval, 1.02-8.64; p = 0.045) were independent predictive factors of fibrotic interstitial lung abnormalities. The predicted area under the curve of the fibrotic interstitial lung abnormalities based on these three factors was 0.77 (95% confidence interval, 0.68-0.86). The proportion of undecided diagnoses in the fibrotic interstitial lung abnormalities group (14%) was significantly lower than that in the non-fibrotic interstitial lung abnormalities group (41%) (p = 0.0027).

conclusionsFine crackles on auscultation and elevated serum surfactant protein-D levels are predictors of fibrotic interstitial lung abnormalities in older patients with interstitial lung abnormalities. These findings may assist non-radiological physicians in referring patients to specialists for early intervention in progressive fibrotic interstitial lung diseases. TRIAL REGISTRATION NUMBER/DATE: UMIN000045149/2021.12.1.

Indexed as

LungLung Diseases, InterstitialPulmonary FibrosisTomography, X-Ray ComputedAdultAgedAged, 80 and overAge FactorsBronchiectasisDisease ProgressionFemaleHumansJapanLogistic ModelsMaleMiddle AgedFine cracklesHigh-resolution CTIdiopathic pulmonary fibrosisInterstitial lung abnormalityMultidisciplinary discussionProgressive pulmonary fibrosisWorking diagnosis

Identifiers

PMID39881354
PMCPMC11780992

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.