Evidence map›Paper›PMID 38114539›Full record

ArticleScientific reports2023

Serum heme oxygenase-1 as a prognostic biomarker in patients with acute exacerbation of interstitial lung disease.

Yoichi Tagami, Yu Hara, Kota Murohashi, Ryo Nagasawa, Hiroaki Fujii, Ami Izawa, Aya Yabe, Yusuke Saigusa, Miyu Kobayashi, Masafumi Shiida and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
1.0field-weighted citation impact, top 20% of its field
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, 4 citations in OpenAlex.

  1. Article
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  4. 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 at 2 institutions in 1 country.

Yoichi TagamiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Yu HaraDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan. yhara723@yokohama-cu.ac.jp.
Kota MurohashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Ryo NagasawaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Hiroaki FujiiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Ami IzawaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Aya YabeDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Yusuke SaigusaDepartment of Biostatistics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Miyu KobayashiDepartment of Biostatistics, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Masafumi ShiidaResearch and Development Division, Minaris Medical Co., Ltd, 600-1 Minami-Ishiki, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-0932, Japan.
Momo HirataDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Yukiko OtsuDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Keisuke WatanabeDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Nobuyuki HoritaDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Nobuaki KobayashiDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-Ku, Yokohama, Kanagawa, 236-0004, Japan.
Yokohama City University · JPShizuoka Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum heme oxygenase (HO)-1 level has been reported as a clinically reliable diagnostic biomarker for acute exacerbation of interstitial lung disease (ILD); however, its utility for predicting mortality among these patients is unclear. Serum HO-1 levels of patients newly diagnosed with acute exacerbation of ILD were measured at the time of initiating steroid pulse therapy. The relationship between serum HO-1 and various other serum biomarkers, change in HRCT findings, and disease prognosis at 12 weeks after diagnosis of acute exacerbation was evaluated in 51 patients, of whom 17 (33%) had idiopathic pulmonary fibrosis (IPF). Serum HO-1 was higher in patients with acute exacerbation of IPF than in patients with acute exacerbation of other ILDs. Serum HO-1 levels were higher in patients who died within these 12 weeks than in survivors. Among age, sex, comorbidities, IPF diagnosis, HRCT findings, and blood biomarkers, serum HO-1 was a primary predictor of 12-week mortality. In 41 patients who underwent repeat HRCT, serum HO-1 was higher in patients with honeycomb progression than in those without. Serum HO-1 measurement could be useful for evaluating disease mortality and morbidity of patients with acute exacerbation of ILDs.

Indexed as

BiomarkersHeme Oxygenase-1Lung Diseases, InterstitialAcute DiseaseAgedAged, 80 and overFemaleHumansMalePrognosisBiomarkersHeme Oxygenase-1

Identifiers

PMID38114539
PMCPMC10730846
OpenAlexW4389948615

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Registered trials

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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.