Evidence map›Paper›PMID 33549037›Full record

ArticleBMC cancer2021

Comparison of survival in non-metastatic inflammatory and other T4 breast cancers: a SEER population-based analysis.

Dechuang Jiao, Jingyang Zhang, Jiujun Zhu, Xuhui Guo, Yue Yang, Hui Xiao, Zhenzhen Liu

Abstract readComparative Study
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. How to Define Inflammatory Breast Cancer: A Systematic Review.Indian journal of surgical oncology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. 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.

Dechuang Jiao *Department of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China.
Jingyang Zhang *Department of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China.
Jiujun ZhuDepartment of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China.
Xuhui GuoDepartment of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China.
Yue YangDepartment of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China.
Hui XiaoDepartment of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China.
Zhenzhen LiuDepartment of breast disease, Henan Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No.127, Dongming Road, Zhengzhou, 450008, China. liuzhenzhen73@126.com.ORCID http://orcid.org/0000-0002-3878-1258

Funding

Henan Provincial Medical Science and Technology Research Project 2018020491
6 · The paper itself

Abstract

backgroundPrevious studies have reported poor survival rates in inflammatory breast cancer (IBC) patients than non-inflammatory local advanced breast cancer (non-IBC) patients. However, until now, the survival rate of IBC and other T4 non-IBC (T4-non-IBC) patients remains unexplored.

methodsSurveillance, Epidemiology, and End Results (SEER) database was searched to identify cases with confirmed non-metastatic IBC and T4-non-IBC who had received surgery, chemotherapy, and radiotherapy between 2010 and 2015. IBC was defined as per the American Joint Committee on Cancer (AJCC) 7th edition. Breast Cancer-Specific Survival (BCSS) was estimated by plotting the Kaplan-Meier curve and compared across groups by using the log-rank test. Cox model was constructed to determine the association between IBC and BCSS after adjusting for age, race, stage of disease, tumor grade and surgery type.

resultsOut of a total of 1986 patients, 37.1% had IBC and mean age was 56.6 ± 12.4. After a median follow-up time of 28 months, 3-year BCSS rate for IBC and T4-non-IBC patients was 81.4 and 81.9%, respectively (log-rank p = 0.398). The 3-year BCSS rate in HR-/HER2+ cohort was higher for IBC patients than T4-non-IBC patients (89.5% vs. 80.8%; log-rank p = 0.028), and in HR-/HER2- cohort it was significantly lower for IBC patients than T4-non-IBC patients (57.4% vs. 67.5%; log-rank p = 0.010). However, it was identical between IBC and T4-non-IBC patients in both HR+/HER2- (85.0% vs. 85.3%; log-rank p = 0.567) and HR+/HER2+ (93.6% vs. 91.0%, log-rank p = 0.510) cohorts. After adjusting for potential confounding variables, we observed that IBC is a significant independent predictor for survival of HR-/HER2+ cohort (hazards ratio [HR] = 0.442; 95% CI: 0.216-0.902; P = 0.025) and HR-/HER2- cohort (HR = 1.738; 95% CI: 1.192-2.534; P = 0.004).

conclusionsPatients with IBC and T4-non-IBC had a similar BCSS in the era of modern systemic treatment. In IBC patients, the HR-/HER2+ subtype is associated with a better outcome, and HR-/HER2- subtype is associated with poorer outcomes as compared to the T4-non-IBC patients.

Indexed as

Breast NeoplasmsFemaleHumansInflammatory Breast NeoplasmsKaplan-Meier EstimateMiddle AgedNeoplasm StagingProportional Hazards ModelsSEER ProgramSurvival RateInflammatory breast cancer (IBC); breast Cancer-specific survival (BCSS); survival rate; survival analysis;

Identifiers

PMID33549037
PMCPMC7868017

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Registered trials

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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.