Evidence map›Paper›PMID 37891495›Full record

ReviewBMC pulmonary medicine2023

Frequency of subclinical interstitial lung disease in COVID-19 autopsy cases: potential risk factors of severe pneumonia.

Hiromichi Iwashita, Yoshinori Kawabata, Hiroyuki Hayashi, Shoichiro Matsushita, Tsuneo Yamashiro, Mai Matsumura, Yukihiro Yoshimura, Toshiaki Kataoka, Hideaki Mitsui, Takehisa Suzuki and 7 more

Open access · goldAbstract readReview
In one paragraph

Review in BMC pulmonary medicine, 2023. 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
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

17 authors at 7 institutions in 1 country.

Hiromichi IwashitaDepartment of Pathology, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Yoshinori KawabataDepartment of Pathology, Saitama Cardiovascular and Respiratory Center, 1696, Itai, Kumagaya-shi, Saitama, 360-0197, Japan.
Hiroyuki HayashiDivision of Pathology, Yokohama Municipal Citizen's Hospital, 1-1 Mitsuzawanishimachi, Kanagawa-ku, Yokohama-shi, Kanagawa, 221-0855, Japan.
Shoichiro MatsushitaDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Tsuneo YamashiroDepartment of Radiology, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Mai MatsumuraDepartment of Pathology, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Yukihiro YoshimuraDivision of Infectious disease, Yokohama Municipal Citizen's Hospital, 1-1 Mitsuzawanishimachi, Kanagawa-ku, Yokohama-shi, Kanagawa, 221-0855, Japan.
Toshiaki KataokaDepartment of Pathology, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Hideaki MitsuiDepartment of Pathology, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Takehisa SuzukiDepartment of Pathology, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Toshihiro MisumiDepartment of Biostatistics, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan.
Tomonori TanakaDepartment of Diagnostic Pathology, Kobe University Hospital, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe-shi, Hyogo, 650-0017, Japan.
Sosuke IshijimaDepartment of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, 1-14 Bunkyo-machi, Nagasaki-shi, Nagasaki, 852-8521, Japan.
Junya FukuokaDepartment of Pathology Informatics, Nagasaki University Graduate School of Biomedical Sciences, 1-14 Bunkyo-machi, Nagasaki-shi, Nagasaki, 852-8521, Japan.
Tae IwasawaDivision of Radiology, Kanagawa Cardiovascular and Respiratory Center, 6-16-1 Tomioka- higashi, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0051, Japan.
Takashi OguraDivision of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, 6-16-1 Tomioka-higashi, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0051, Japan.
Koji OkudelaDepartment of Pathology, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0004, Japan. kojixok@yokohama-cu.ac.jp.
Yokohama City University · JPKanagawa Cardiovascular and Respiratory Center · JPNagasaki University · JPYokohama Municipal Citizen's Hospital · JPKobe University Hospital · JPSaitama Prefecture · JPYokohama City University Hospital · JP

Funding

Smoking Research Foundation 2020G005Smoking Research Foundation 2022G019
6 · The paper itself

Abstract

Risk factors of severe coronavirus disease 2019 (COVID-19) have been previously reported; however, histological risk factors have not been defined thus far. The aim of this study was to clarify subclinical hidden interstitial lung disease (ILD) as a risk factor of severe pneumonia associated with COVID-19. We carefully examined autopsied lungs and chest computed tomography scanning (CT) images from patients with COVID-19 for interstitial lesions and then analyzed their relationship with disease severity. Among the autopsy series, subclinical ILD was found in 13/27 cases (48%) in the COVID-19 group, and in contrast, 8/65 (12%) in the control autopsy group (p = 0.0006; Fisher's exact test). We reviewed CT images from the COVID-19 autopsy cases and verified that subclinical ILD was histologically detectable in the CT images. Then, we retrospectively examined CT images from another series of COVID-19 cases in the Yokohama, Japan area between February-August 2020 for interstitial lesions and analyzed the relationship to the severity of COVID-19 pneumonia. Interstitial lesion was more frequently found in the group with the moderate II/severe disease than in the moderate I/mild disease (severity was evaluated according to the COVID-19 severity classification system of the Ministry of Health, Labor, and Welfare [Japan]) (moderate II/severe, 11/15, 73.3% versus moderate I/mild, 108/245, 44.1%; Fisher exact test, p = 0.0333). In conclusion, it was suggested that subclinical ILD could be an important risk factor for severe COVID-19 pneumonia. A benefit of these findings could be the development of a risk assessment system using high resolution CT images for fatal COVID-19 pneumonia.

Indexed as

COVID-19Lung Diseases, InterstitialAutopsyHumansLungRetrospective StudiesRisk FactorsAcute exacerbationCoronavirus disease 2019 (COVID-19)Interstitial lung abnormalitiesInterstitial lung diseaseUsual interstitial pneumonia

Identifiers

PMID37891495
PMCPMC10612296
OpenAlexW4387976625

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.