Evidence map›Paper›PMID 41414720›Full record

ArticleThoracic cancer2025

Impact of Craniocaudal Tumor Dimension and the Ninth Edition of the TNM Stage Classification on Prognosis in Resected Thymoma.

Dai Okazaki, Natsuo Tomita, Katsuhiro Okuda, Eiji Nakatani, Gaku Aoki, Taiki Takaoka, Masanari Niwa, Akira Torii, Nozomi Kita, Seiya Takano and 2 more

Abstract read
In one paragraph

Article in Thoracic cancer, 2025. 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
–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

1 citing paper in PubMed.

  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

12 authors.

Dai OkazakiDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.ORCID https://orcid.org/0000-0003-0936-2633
Natsuo TomitaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Katsuhiro OkudaDepartment of Thoracic and Pediatric Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Eiji NakataniDepartment of Biostatistics and Health Data Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Gaku AokiDepartment of Biostatistics and Health Data Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Taiki TakaokaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.ORCID https://orcid.org/0000-0002-2667-8923
Masanari NiwaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Akira ToriiDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Nozomi KitaDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Seiya TakanoDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Masanosuke OguriDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.
Akio HiwatashiDepartment of Radiology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.

Funding

Nagoya City University 2413054
6 · The paper itself

Abstract

backgroundThymoma is a rare thymic epithelial tumor, and its prognostic factors remain not fully elucidated. This study aimed to identify simple, practical preoperative predictors of prognosis, focusing on tumor dimensions assessed by computed tomography (CT).

methodsWe retrospectively analyzed 181 patients who underwent complete or partial resection for thymoma between 2004 and 2022. Tumor size was assessed by measuring the maximum transverse and craniocaudal dimensions on preoperative CT. Freedom from recurrence (FFR) and overall survival (OS) were estimated using the Kaplan-Meier method. Cox proportional hazards models were constructed: Model A included only preoperative variables, while Model B additionally incorporated postoperative factors (e.g., TNM stage classification and histology).

resultsDuring a median follow-up of 96 months, the 5- and 10-year FFR rates were 78.4% and 71.4%, and the corresponding OS rates were 96.5% and 87.3%, respectively. In multivariate analysis, TNM stage classification and preoperative steroid pulse therapy were significantly associated with FFR, whereas no variables were significantly associated with OS. Model A demonstrated good discriminatory ability (C-index = 0.839), which improved only modestly after including postoperative factors in Model B (C-index = 0.867). In the steroid-excluded cohort (N = 148), the craniocaudal tumor dimension emerged as a significant predictor of FFR (p = 0.027).

conclusionsThe craniocaudal tumor dimension measured on preoperative CT was consistently associated with recurrence and may reflect prognostic information embedded within the pathological TNM classification. This easily measurable parameter could complement TNM-based evaluation in preoperative risk assessment and surgical decision-making for thymoma.

Indexed as

ThymomaThymus NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesTomography, X-Ray Computedneoplasm stagingprognosisthymomax‐ray computed tomography

Identifiers

PMID41414720
PMCPMC12715270

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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.