Evidence map›Paper›PMID 33328559›Full record

Trial reportScientific reports2020

The longitudinal risk of mortality between invasive ductal carcinoma and metaplastic breast carcinoma.

San-Gang Wu, Shi-Ping Yang, Wen-Wen Zhang, Jun Wang, Chen-Lu Lian, Yong-Xiong Chen, Zhen-Yu He

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Effect of postmastectomy radiotherapy on survival outcomes of patients with metaplastic breast cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    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 at 5 institutions in 1 country.

San-Gang WuDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, People's Republic of China.
Shi-Ping YangDepartment of Radiation Oncology, Hainan General Hospital (Hainan Affiliated Hospital of Medical University, Haikou,, 570311, Hainan, People's Republic of China.
Wen-Wen ZhangDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China.
Jun WangDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, People's Republic of China.
Chen-Lu LianDepartment of Radiation Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, People's Republic of China.
Yong-Xiong ChenEye Institute of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Medical College, Xiamen University, Xiamen, 361005, People's Republic of China. yxchen1962@xmu.edu.cn.
Zhen-Yu HeDepartment of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China. hezhy@sysucc.org.cn.
First Affiliated Hospital of Xiamen University · CNHainan General Hospital · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of metaplastic breast carcinoma (MBC) has largely paralleled the paradigms used for invasive ductal carcinoma (IDC) in the current National Comprehensive Cancer Network guidelines of breast cancer. However, patients with IDC and MBC have been shown to have a different prognosis, and there are significant differences in risk and failure patterns after treatment. The purpose of this study was to compare breast cancer specific survival (BCSS) and hazard function between IDC and MBC. We included patients from the Surveillance, Epidemiology, and End Results program with stage I-III IDC and MBC between 2000 and 2012. Statistical analyses were including chi-square analysis, life-table methods, multivariate Cox proportional hazards models, and propensity score matching (PSM). We identified 294,719 patients; 293,199 patients with IDC and 1520 patients with MBC. Multivariate analyses showed that the MBC subtype had significantly lower BCSS than the IDC subtype before and after PSM (p < 0.001). There were significant differences in the hazard curve between IDC and MBC. The hazard curve for breast cancer mortality in the IDC cohort peaked at 3 years (2%), and then changed to a slowly decreasing plateau after prolonged follow up. However, the hazard curve for breast cancer mortality in the MBC cohort peaked at 2 years (7%), then declined sharply between 3 and 6 years, and changed to a low death rate after a follow-up time exceeding 6 years. Subgroup analyses revealed that the hazard curves significantly differed between IDC and MBC after stratifying by tumor stage and hormone receptor status. Our study suggests that patients with MBC should receive more effective systemic agents and intensive follow-up because of their significantly augmented risk of death compared to IDC patients.

Indexed as

AgedBreast NeoplasmsCarcinoma, Ductal, BreastDisease-Free SurvivalFemaleHumansLongitudinal StudiesMiddle AgedNeoplasm InvasivenessRisk FactorsSurvival Rate

Identifiers

PMID33328559
PMCPMC7744577
OpenAlexW3112471063

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.