Evidence map›Paper›PMID 41988293›Full record

ArticleJournal of thoracic disease2026

Prognostic value as metabolic tumor activity on

Kosuke Hashimoto, Kyoichi Kaira, Hisao Imai, Atsuto Mouri, Ou Yamaguchi, Ryo Taguchi, Tetsuya Umesaki, Yoshinobu Ichiki, Tomoyuki Hishida, Hiroyuki Nitanda and 2 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Kosuke HashimotoDepartment of Respiratory Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Kyoichi KairaDepartment of Respiratory Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Hisao ImaiDepartment of Respiratory Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Atsuto MouriDepartment of Respiratory Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Ou YamaguchiDepartment of Respiratory Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Ryo TaguchiDepartment of General Thoracic Surgery, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Tetsuya UmesakiDepartment of General Thoracic Surgery, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Yoshinobu IchikiDepartment of General Thoracic Surgery, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Tomoyuki HishidaDepartment of General Thoracic Surgery, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Hiroyuki NitandaDepartment of General Thoracic Surgery, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Ichiei KujiDepartment of Nuclear Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.
Hiroshi KagamuDepartment of Respiratory Medicine, Saitama Medical University International Medical Center, Hidaka City, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thymic epithelial tumors (TETs) are rare neoplasms; however, optimal predictors after initial treatment are unclear. Methods: A total of 108 consecutive patients with TETs classified as thymoma or thymic carcinoma (TC) who received Results: Univariate analysis identified performance status (PS), smoking, disease stage, histology, SUVmax, MTV, and TLG as significant predictors of progression-free survival (PFS) and overall survival (OS). In the multivariate analysis, TLG was an independent prognostic factor for predicting worse PFS, and histology emerged as a significant predictor for OS. In patients with thymoma, univariate analysis identified disease stage, SUVmax, MTV, and TLG as significant predictors for PFS but not OS. In patients with TC, univariate analysis identified PS, disease stage, smoking status, SUVmax, MTV, and TLG as significant predictors for both PFS and OS. Conclusions: Indicators of

Indexed as

18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)metabolic tumor activityprognosisThymic epithelial tumors (TETs)

Identifiers

PMID41988293
PMCPMC13077250

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.