Evidence map›Paper›PMID 40401643›Full record

ReviewFuture oncology (London, England)2025

Optimizing total neoadjuvant therapy in locally advanced rectal cancer: risk stratification should not be overlooked.

Jingyi Liu, Ximo Xu, Hao Zhong, Mengqin Yu, Naijipu Abuduaini, Abe Fingerhut, Zhenghao Cai, Bo Feng

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Review
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

8 authors.

Jingyi LiuDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ximo XuDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao ZhongDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengqin YuDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Naijipu AbuduainiDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Abe FingerhutSection for Surgical Research, Department of Surgery, Medical University of Graz, Graz, Austria.
Zhenghao CaiDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bo FengDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemoradiotherapy plus total mesorectal excision has been established as the standard treatment for locally advanced rectal cancer (LARC) and can achieve satisfactory local control. However, systemic control of LARC, especially in patients with risk factors for poor prognosis, is still of concern. As application of total neoadjuvant therapy (TNT) has been proposed as a potential solution, a clearer risk stratification of LARC to guide individual treatment is needed. Combination therapy such as targeted therapy or immunotherapy can be used to increase treatment intensity for high-risk LARC. In this review, we evaluate recent trials of several treatment modalities, specifically focusing on intensified TNT regimens for high-risk LARC with the goal of summarizing optimal clinical strategies and future study designs.

Indexed as

Neoadjuvant TherapyRectal NeoplasmsHumansNeoplasm StagingPrognosisRisk AssessmentTreatment OutcomeimmunotherapyLocally advanced rectal cancershort-course radiotherapytargeted therapytotal neoadjuvant therapy

Identifiers

PMID40401643
PMCPMC12150620

What OpenQuestion holds

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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.