Evidence map›Paper›PMID 30505490›Full record

ArticleJournal of thoracic disease2018

Volumetric analysis of the thymic epithelial tumors: correlation of tumor volume with the WHO classification and Masaoka staging.

Yukihisa Sato, Masahiro Yanagawa, Akinori Hata, Yukihiro Enchi, Noriko Kikuchi, Osamu Honda, Katsuyuki Nakanishi, Noriyuki Tomiyama

Erratum issuedAbstract read
In one paragraph

Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Article
  6. Article
  7. Article
  8. Radiotherapy for thymic epithelial tumours: a review.Translational lung cancer research · 2021
    Review
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  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yukihisa SatoDepartment of Diagnostic Radiology, Osaka International Cancer Institute, Chuo-ku, Osaka, Japan.
Masahiro YanagawaDepartment of Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Akinori HataDepartment of Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Yukihiro EnchiDivision of Radiology, Department of Medical Technology, Osaka University Hospital, Suita, Osaka, Japan.
Noriko KikuchiDepartment of Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Osamu HondaDepartment of Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Katsuyuki NakanishiDepartment of Diagnostic Radiology, Osaka International Cancer Institute, Chuo-ku, Osaka, Japan.
Noriyuki TomiyamaDepartment of Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of our study was to investigate the correlation between tumor volume (TV) and each subtype of thymic epithelial tumors (TETs) based on the World Health Organization (WHO) classification and Masaoka staging.

methodsSixty-one consecutive patients (45 thymomas and 16 thymic carcinomas) were studied. All were classified according to Masaoka staging: 31 non-invasive TETs (stage I) and 30 invasive TETs (8 stage II, 11 stage III, 3 stage IVa, and 8 stage IVb). TV on computed tomography (CT) were semi-automatically calculated using our software. The correlation of TV with each WHO subtype and Masaoka staging was analyzed using Mann-Whitney U and Scheffe's F test.

resultsThymic carcinoma (mean ± SD, 117.5±143.6 cm

conclusionsTV of invasive TETs may be larger at the time of initial presentation. TV >54.3 cm

Indexed as

Masaoka-Koga stagemulti-detector computed tomographyThymic epithelial tumor (TET)tumor volume (TV)World Health Organization (WHO)

Identifiers

PMID30505490
PMCPMC6236181

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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.