Evidence map›Paper›PMID 42146808›Full record

ArticleAnnals of gastroenterological surgery2026

Impact of Body Weight Loss During Preoperative Chemoradiotherapy on Prognosis of Patients With Lower Rectal Cancer.

Shinya Abe, Hiroaki Nozawa, Kazuhito Sasaki, Koji Murono, Shigenobu Emoto, Yuichiro Yokoyama, Yuzo Nagai, Yuzo Harada, Takahide Shinagawa, Soichiro Ishihara

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

10 authors.

Shinya AbeDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.ORCID https://orcid.org/0000-0002-2432-3141
Hiroaki NozawaDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Kazuhito SasakiDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Koji MuronoDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Shigenobu EmotoDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Yuichiro YokoyamaDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Yuzo NagaiDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Yuzo HaradaDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Takahide ShinagawaDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.
Soichiro IshiharaDepartment of Surgical Oncology, Graduate School of Medicine The University of Tokyo Bunkyo-ku Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preoperative chemoradiotherapy is the standard treatment for locally advanced rectal cancer (LARC), but may cause body composition changes. The prognostic impact of these changes remains unclear. The present study investigated the relationship between changes in body weight and composition during chemoradiotherapy, such as the psoas muscle mass index, visceral fat index, and subcutaneous fat index (SFI) obtained from computed tomography images, and long-term outcomes in LARC patients. Methods: This retrospective study included 343 patients with LARC treated with preoperative chemoradiotherapy followed by curative resection between 2005 and 2023 at our hospital. Changes in body composition during chemoradiotherapy were retrospectively assessed, and the relationship between each index and long-term outcomes was examined. Results: Forty-one patients had body weight loss ≥ 10% during chemoradiotherapy, which correlated with reductions in 5-year overall survival (OS) (68.2% vs. 90.5%, Conclusion: Body weight loss during preoperative chemoradiotherapy is an independent predictor of worse OS and DFS in LARC.

Indexed as

body weight losschemoradiotherapyoutcomerectal cancer

Identifiers

PMID42146808
PMCPMC13178290

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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.