Evidence map›Paper›PMID 37558922›Full record

Observational studyBritish journal of cancer2023

An MRI-based scoring system for pretreatment risk stratification in locally advanced rectal cancer.

Minning Zhao, Lili Feng, Ke Zhao, Yanfen Cui, Zhenhui Li, Chenglu Ke, Xinyue Yang, Qing Qiu, Weirong Lu, Yanting Liang and 3 more

Open access · greenAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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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

13 authors at 7 institutions in 1 country.

Minning Zhao *Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lili Feng *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ke Zhao *Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. zhaoke@gdph.org.cn.ORCID 0000-0002-9307-8522
Yanfen Cui *Department of Radiology, Shanxi Cancer Hospital, Shanxi Medical University, Taiyuan, China.
Zhenhui Li *Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.
Chenglu KeDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xinyue YangDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qing QiuDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Weirong LuDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yanting LiangDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
ChuanMiao XieState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. xiechm@sysucc.org.cn.
Xiangbo WanProvincial Key Laboratory of Radiation Medicine in Henan (Under construction), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. wanxbo@mail.sysu.edu.cn.ORCID 0000-0001-9437-6188
Zaiyi LiuDepartment of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. liuzaiyi@gdph.org.cn.ORCID 0000-0003-3296-9759
Guangdong Academy of Medical Sciences · CNSun Yat-sen University · CNKey Laboratory of Guangdong Province · CNZhujiang Hospital · CNKunming Medical University · CNNanfang Hospital · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurately assessing the risk of recurrence in patients with locally advanced rectal cancer (LARC) before treatment is important for the development of treatment strategies. The purpose of this study is to develop an MRI-based scoring system to predict the risk of recurrence in patients with LARC.

methodsThis was a multicenter observational study that enrolled participants who underwent neoadjuvant chemoradiotherapy. To evaluate the risk of recurrence in these patients, we developed the mrDEC scoring system and assessed inter-reader agreement. Additionally, we plotted Kaplan-Meier curves to compare the 3-year disease-free survival (DFS) and 5-year overall survival (OS) rates among patients with different mrDEC scores.

resultsA total of 1287 patients with LARC were included in this study. We observed substantial inter-reader agreement for mrDEC. Based on the mrDEC scores ranging from 0 to 3, the patients were categorized into four groups. The 3-year DFS rates for the groups were 91.0%, 79.5%, 65.5%, and 44.0% (P < 0.0001), respectively, and the 5-year OS rates were 92.9%, 87.1%, 74.8%, and 44.5%, respectively (P < 0.0001).

conclusionsThe mrDEC scoring system proved to be an effective tool for predicting the prognosis of patients with LARC and can assist clinicians in clinical decision-making.

Indexed as

Rectal NeoplasmsChemoradiotherapyDisease-Free SurvivalHumansMagnetic Resonance ImagingNeoadjuvant TherapyNeoplasm StagingPrognosisRetrospective StudiesRisk AssessmentTreatment Outcome

Identifiers

PMID37558922
PMCPMC10539304
OpenAlexW4385690575

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.