Evidence map›Paper›PMID 30746353›Full record

ArticleAnnals of surgical treatment and research2019

Prognostic influence of Korean public medical insurance system on breast cancer patients.

Ki-Tae Hwang, Young Wook Ju, Young A Kim, Jongjin Kim, Sohee Oh, Jiwoong Jung, Young Jun Chai, In Sil Choi, So Won Oh

Abstract read
In one paragraph

Article in Annals of surgical treatment and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Long-Term Effect of Income Level on Mortality after Stroke: A Nationwide Cohort Study in South Korea.International journal of environmental research and public health · 2020
    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

9 authors.

Ki-Tae HwangDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-6597-3119
Young Wook JuDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.
Young A KimDepartment of Pathology, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.
Jongjin KimDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.
Sohee OhDepartment of Biostatistics, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.
Jiwoong JungDepartment of Surgery, Seoul Medical Center, Seoul, Korea.
Young Jun ChaiDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.
In Sil ChoiDepartment of Internal Medicine, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.
So Won OhDepartment of Nuclear Medicine, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the prognostic influence of Korean public medical insurance system on breast cancer patients.

methodsData of 1,068 patients with primary invasive breast cancer were analyzed. Korean public medical insurance status was classified into 2 groups: National Health Insurance and Medical Aid. Kaplan-Meier estimator and Cox proportional hazards model were used for survival analysis.

resultsThe Medical Aid group showed worse prognoses compared to the National Health Insurance group both in overall survival (P = 0.001) and recurrence-free survival (P = 0.006). The Medical Aid group showed higher proportion of patients with tumor size > 2 cm (P = 0.022), more advanced stage (P = 0.039), age > 50 years (P = 0.003), and low education level (P = 0.003). The Medical Aid group showed higher proportion of patients who received mastectomy (P < 0.001) and those who received no radiation therapy (P = 0.013). The Medical Aid group showed a higher rate of distant recurrence (P = 0.014) and worse prognosis for the triple negative subtype (P = 0.006). Medical insurance status was a significant independent prognostic factor in both univariate analysis and multivariate analysis.

conclusionThe Medical Aid group had worse prognosis compared to the National Health Insurance group. Medical insurance status was a strong independent prognostic factor in breast cancer. Unfavorable clinicopathologic features could explain the worse prognosis for the Medical Aid group. Careful consideration should be given to medical insurance status as one of important prognostic factors for breast cancer patients.

Indexed as

Breast neoplasmsInsuranceNational Health InsurancePrognosis

Identifiers

PMID30746353
PMCPMC6358593

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.