Evidence map›Paper›PMID 39396940›Full record

ArticleBMC pulmonary medicine2024

Blood eosinophil count correlates with alveolar damage in emphysema-predominant COPD.

Saya Nakamura, Keiko Wakahara, Suguru Majima, Eito Yokoi, Eriko Fukutani, Ryo Otsuki, Shingo Iwano, Toyofumi Fengshi Chen-Yoshikawa, Fumie Kinoshita, Takashi Abe and 6 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Saya Nakamura *Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Keiko Wakahara *Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan. keikowakahara284@gmail.com.
Suguru MajimaDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Eito YokoiDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Eriko FukutaniDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Ryo OtsukiDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Shingo IwanoDepartment of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toyofumi Fengshi Chen-YoshikawaDepartment of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Fumie KinoshitaData Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan.
Takashi AbeDepartment of Respiratory Medicine, Ogaki Municipal Hospital, Ogaki, Japan.
Toyokazu SashioDepartment of Respiratory Medicine, Meijo Hospital, Nagoya, Japan.
Tomoki KimuraDepartment of Respiratory Medicine and Allergy, Tosei General Hospital, Seto, Japan.
Kenji IzuharaDivision of Medicine Biochemistry, Department of Biomolecular Sciences, Saga Medical School, Saga, Japan.
Naozumi HashimotoDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Makoto IshiiDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Yoshinori HasegawaDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.

Funding

Japan Society for the Promotion of Science 18K08173, 21K08456
6 · The paper itself

Abstract

backgroundAlthough blood eosinophil count is recognized as a useful biomarker for the management of chronic obstructive pulmonary disease (COPD), the impact of eosinophils in COPD has not been fully elucidated. Here we aimed to investigate the relationships between the blood eosinophil count and various clinical parameters including lung structural changes.

methodsNinety-three COPD patients without concomitant asthma were prospectively enrolled in this study. Blood eosinophil count, serum IgE level, serum periostin level, and chest computed tomography (CT) scans were evaluated. Eosinophilic COPD was defined as COPD with a blood eosinophil count ≧ 300/µL. We examined the correlation between the blood eosinophil count and structural changes graded by chest CT, focusing specifically on thin airway wall (WT

resultsThe mean blood eosinophil count was 212.1/µL, and 18 patients (19.3%) were categorized as having eosinophilic COPD. In the whole group analysis, the blood eosinophil count correlated only with blood white blood cells, blood basophils, C-reactive protein level, and sputum eosinophils. However, the blood eosinophil count positively correlated with the percentage of LAA and negatively correlated with the diffusing capacity for carbon monoxide in the WT

conclusionsSome COPD patients without concomitant asthma showed a phenotype of high blood eosinophils. Alveolar damage may be related to eosinophilic inflammation in patients with COPD without asthma and thickening of the central airway wall.

Indexed as

EosinophilsPulmonary AlveoliPulmonary Disease, Chronic ObstructivePulmonary EmphysemaTomography, X-Ray ComputedAgedBiomarkersCell Adhesion MoleculesC-Reactive ProteinFemaleHumansImmunoglobulin ELeukocyte CountMaleMiddle AgedProspective StudiesBiomarkersCell Adhesion MoleculesC-Reactive ProteinImmunoglobulin EPOSTN protein, humanAsthma-COPD overlapBlood eosinophil countCOPDEmphysema-predominant COPDPeriostinType-2 biomarker

Identifiers

PMID39396940
PMCPMC11472558

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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.