Evidence map›Paper›PMID 34572480›Full record

ArticleBiomolecules2021

The Prognostic Value of Locoregional Interventions for BRAF V600E Metastatic Colorectal Cancer: A Retrospective Cohort Analysis.

Liu-Fang Ye, Xiao-Meng Ji, Chao Ren, Zhi-Qiang Wang, Chun-Ping Lin, Dong-Liang Chen, Yan-Qing Cai, Ying Jin, Miao-Zhen Qiu, Zi-Ming Du and 7 more

Abstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

17 authors.

Liu-Fang YeCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Xiao-Meng JiDepartment of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Chao RenCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Zhi-Qiang WangCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Chun-Ping LinDepartment of Oncology, Jieyang Affiliated Hospital, Sun Yat-sen University, Jieyang 522000, China.
Dong-Liang ChenCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Yan-Qing CaiDepartment of Oncology, Jieyang Affiliated Hospital, Sun Yat-sen University, Jieyang 522000, China.
Ying JinCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0001-7105-3052
Miao-Zhen QiuCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-4774-6235
Zi-Ming DuDepartment of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Shao-Yan XiDepartment of Pathology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Dong-Sheng ZhangCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Feng WangCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Feng-Hua WangCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Rui-Hua XuCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
Yu-Hong LiCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.
De-Shen WangCollaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0001-9657-4380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic heterogeneity in patients with BRAF V600E metastatic colorectal cancer (mCRC) remains poorly defined. Real-world data of 93 BRAF V600E mCRC patients from Sun Yat-sen University Cancer Center were evaluated using the prognostic factors affecting overall survival (OS). Treatment of metastases served as an independent prognosticator, where curative locoregional interventions (LRIs) were associated with superior clinical outcomes (adjusted hazard ratio (HR): 0.46, 95% confidence interval (CI): 0.22-0.98;

Indexed as

AgedCohort StudiesColorectal NeoplasmsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisMutationNeoplasm MetastasisProportional Hazards ModelsProto-Oncogene Proteins B-rafProto-Oncogene Proteins B-rafBRAF V600Eheterogeneitylocoregional interventionsmetastatic colorectal cancerprognosis

Identifiers

PMID34572480
PMCPMC8468777

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.