Evidence map›Paper›PMID 37983179›Full record

ArticleAging2023

Prevalence and risk factors of bone metastasis and the development of bone metastatic prognostic classification system: a pan-cancer population study.

Zhouyang Hu, Sheng Yang, Zhipeng Xu, Xiaoling Zhang, Hong Wang, Guoxin Fan, Xiang Liao

Abstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Metabolic reprogramming in bone metastasis of human cancers.Frontiers in cell and developmental biology · 2025
    Review
  9. Article
  10. Exosomes: a promising avenue for cancer diagnosis beyond treatment.Frontiers in cell and developmental biology · 2024
    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

7 authors.

Zhouyang HuDepartment of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Sheng YangDepartment of Orthopedics, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China.
Zhipeng XuDepartment of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Xiaoling ZhangDepartment of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Hong WangDepartment of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Guoxin FanDepartment of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Xiang LiaoDepartment of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of bone metastasis (BM) varies among primary cancer patients, and it has a significant impact on prognosis. However, there is a lack of research in this area. This study aims to explore the clinical characteristics, prevalence, and risk factors, and to establish a prognostic classification system for pan-cancer patients with BM.

methodsThe data obtained from the Surveillance, Epidemiology and End Results database were investigated. The prevalence and prognosis of patients with BM were analyzed. Hierarchical clustering was used to develop a prognostic classification system.

resultsFrom 2010 to 2019, the prevalence of BM has increased by 41.43%. BM most commonly occurs in cancers that originate in the adrenal gland, lung and bronchus and overlapping lesion of digestive systems. Negative prognostic factors included older age, male sex, poorer grade, unmarried status, low income, non-metropolitan living, advanced tumor stages, previous chemotherapy, and synchronous liver, lung, and brain metastasis. Three categories with significantly different survival time were identified in the classification system.

conclusionsThe clinical features, prevalence, risk factors, and prognostic factors in pan-cancer patients with BM were investigated. A prognostic classification system was developed to provide survival information and aid physicians in selecting personalized treatment plans for patients with BM.

Indexed as

Bone NeoplasmsBone and BonesHumansMalePrevalencePrognosisRisk Factorsbone metastasispan-cancer analysisprevalenceprognostic classification systemrisk factors

Identifiers

PMID37983179
PMCPMC10713404

What Socratic holds

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LicenceCC BY
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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 Socratic graph.