Evidence map›Paper›PMID 40010977›Full record

ArticleIn vivo (Athens, Greece)

Alteration of Apparent Diffusion Coefficient Measurements Predict Survival Outcomes During Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.

Yuma Wada, Masaaki Nishi, Takuya Tokunaga, Hideya Kashihara, Chie Takasu, Toshiaki Yoshimoto, Mitsuo Shimada

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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. Article
  2. 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

7 authors.

Yuma WadaDepartment of Surgery, Tokushima University, Tokushima, Japan.
Masaaki NishiDepartment of Surgery, Tokushima University, Tokushima, Japan nishi.masaaki@tokushima-u.ac.jp.
Takuya TokunagaDepartment of Surgery, Tokushima University, Tokushima, Japan.
Hideya KashiharaDepartment of Surgery, Tokushima University, Tokushima, Japan.
Chie TakasuDepartment of Surgery, Tokushima University, Tokushima, Japan.
Toshiaki YoshimotoDepartment of Surgery, Tokushima University, Tokushima, Japan.
Mitsuo ShimadaDepartment of Surgery, Tokushima University, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimNeoadjuvant chemoradiation therapy (nCRT) followed by surgery is recommended for patients with locally advanced rectal cancer (LARC). However, because 30%-40% of patients with LARC do not respond to nCRT, better prediction of treatment responses and survival outcomes is required. Therefore, this study aimed to identify apparent diffusion coefficient (ADC) values that predict survival outcomes after nCRT in patients with LARC. PATIENTS AND

methodsWe analyzed data from 66 patients with LARC who underwent nCRT and evaluated the ADC values pre- and post-nCRT. Cox proportional hazard regression analyses were conducted to assess survival outcomes.

resultsThere were no significant differences in disease-free survival (DFS) and overall survival (OS) between low and high ADC values pre-nCRT. However, patients classified as low ADC in post-nCRT had a significantly worse prognosis in OS and DFS (OS:

conclusionWe identified the clinical importance of changes in ADC values as a predictor of survival outcomes in patients with LARC. These results highlight the clinical importance of ADC values on improving the treatment strategies of patients.

Indexed as

Diffusion Magnetic Resonance ImagingRectal NeoplasmsAdultAgedChemoradiotherapyDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoadjuvant TherapyNeoplasm StagingPrognosisTreatment OutcomeADC valuesNeoadjuvant chemoradiation therapyprognostic markerrectal cancer

Identifiers

PMID40010977
PMCPMC11884458

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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.