Evidence map›Paper›PMID 37124528›Full record

ArticleFrontiers in oncology2023

Different risk and prognostic factors for liver metastasis of breast cancer patients with

Ningning Zhang, Yimei Xiang, Qing Shao, Jing Wu, Yumin Liu, Hua Long, Dan Tao, Xiaohua Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

8 authors at 2 institutions in 1 country.

Ningning ZhangDepartment of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
Yimei XiangDepartment of Breast Cancer Center, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.
Qing ShaoDepartment of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
Jing WuDepartment of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
Yumin LiuDepartment of Medical Record, Chongqing University Cancer Hospital, Chongqing, China.
Hua LongDepartment of Medical Record, Chongqing University Cancer Hospital, Chongqing, China.
Dan TaoDepartment of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Xiaohua ZengDepartment of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
Chongqing Cancer Hospital · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The present study aimed to identify clinicopathological characteristics of breast cancer liver metastasis (BCLM) as well as to characterize the risk and prognostic factors for the liver metastasis (LM) of breast cancer patients with Materials and methods: Patients with metastatic breast cancer (MBC) who were hospitalized in the Breast Cancer Center at Chongqing University between January 2011 and December 2019 were included in the present study. Logistic regression analyses were conducted to identify risk factors for the presence of BCLM. Cox proportional hazard regression models were performed to determine the prognostic factors for the survival of BCLM patients. The correlation between LM and overall survival was assessed by the Kaplan-Meier method. Results: In total, 1,228 eligible MBC patients, including 325 cases (26.5%) with Conclusions:

Indexed as

breast cancerde novo distant metastasisliver metastasisprognosisrelapsed distant metastasisrisk factors

Identifiers

PMID37124528
PMCPMC10146248
OpenAlexW4365515708

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.