Evidence map›Paper›PMID 31123421›Full record

ArticleCancer management and research2019

A novel LARCassigner3 classification predicts outcomes in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: a retrospective training and validation analysis.

Jing Zhang, Lijun Shen, Yun Deng, Xiaoyang Sun, Yaqi Wang, Ye Yao, Hui Zhang, Wei Zou, Zhiyuan Zhang, Juefeng Wan and 3 more

Abstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

13 authors.

Jing ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Lijun ShenDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Yun DengDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Xiaoyang SunDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Yaqi WangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Ye YaoDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Hui ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Wei ZouDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Zhiyuan ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Juefeng WanDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Lifeng YangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Ji ZhuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.
Zhen ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

locally advanced rectal cancerneoadjuvant chemoradiotherapyprognostic marker

Identifiers

PMID31123421
PMCPMC6511254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.