Evidence map›Paper›PMID 33294433›Full record

Observational studyBioMed research international2020

Predicting the Incidence and Prognosis of Bone Metastatic Breast Cancer: A SEER-Based Observational Study.

Dongning Shi, Junwen Bai, Yibo Chen, Xia Wang, Yafeng Zhang, Hong Liu

Abstract readObservational Study
In one paragraph

Observational study in BioMed research international, 2020. 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. Review
  4. Observational study of HR+/HER2- metastatic breast cancer patients treated with abemaciclib in Spain in the Named Patient Use Program (AbemusS).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Observational
  5. Article
  6. Article
  7. A review of the neurological complications of breast cancer.Journal of family medicine and primary care · 2022
    Review
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

6 authors.

Dongning Shi *The Second Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin 300060, China.
Junwen Bai *Department of Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, China.
Yibo Chen *Department of Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, China.
Xia WangDepartment of Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, China.
Yafeng ZhangDepartment of Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, China.
Hong Liu *The Second Department of Breast Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin 300060, China.ORCID https://orcid.org/0000-0002-2058-2058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determinate the association relationship of breast cancer bone metastasis and cancer characteristics and molecular subtype. Furthermore, to evaluate the impact of molecular subtype on prevalence and prognosis of bone metastasis from the breast cancer base on a large population real-word program, the Surveillance, Epidemiology, and End Results (SEER) database.

methodsWe collected and analyzed the data obtained from SEER, which showed molecular subtype information for each patient. The prevalence and outcome of bone metastasis in breast cancer were estimated as per the different molecular subtypes.

resultsOccurrence of bone metastasis in conformity with four different molecular subtypes in all 42684 breast cancer patients was 6.2, 9.4, 7.9, and 6.4%, respectively. The most unfavorable subtype was the triple-negative breast cancer (TNBC), followed by the luminal A, luminal B, and HER2 subtypes (hazard ratio [HR] of luminal A compared with TNBC, 0.533, 95% confidence interval, 0.444-0.641; HR of luminal B, 0.482, 95% CI 0.419-0.555; HR of HER2 subtype, 0.542, 95% CI 0.484-0.608). Brain metastasis impacts overall survival (OS) (

conclusionBone metastasis patients present a more favorable oncological survival consequence than other metastases, and the TNBC subtype with bone metastasis showed the poorest tumor outcome compared with the other three molecular subtypes.

Indexed as

SEER ProgramAdultBone NeoplasmsBrain NeoplasmsBreast NeoplasmsFemaleHumansIncidenceKaplan-Meier EstimateLogistic ModelsMiddle AgedMultivariate AnalysisNomogramsPrognosisProportional Hazards Models

Identifiers

PMID33294433
PMCPMC7714581

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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.