乳がんの黒人と白人女性の生存率の違いに関連する特徴
Jeffrey H Silber1, Paul R Rosenbaum, Amy S Clark
1Center for Outcomes Research, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA. silber@email.chop.edu
JAMA
|August 7, 2013
まとめ
乳がんの生存率における人種差異は,メディケア受給者の間で依然として存在しています. 差異は主に,がんが診断時にどのように現れるかによるもので,治療の変異ではない.
科学分野:
- 腫瘍学 腫瘍学
- 健康の格差について
- エピデミオロジー エピデミオロジー
背景:
- 乳がんの生存率における人種差異は,メディケア人口の中で重要な問題である.
- この格差の根本的な原因を理解することは,結果を改善するために極めて重要です.
研究 の 目的:
- 乳がんの生存率における人種差異が,主に初期プレゼンテーションの特徴や後の治療の変動によって引き起こされるかどうかを調査する.
- 乳がんと診断された65歳以上の黒人と白人の女性の生存データを分析する.
主な方法:
- SEER-Medicareデータベースを用いた比較研究で,1991年から2005年の間に診断された7,375人の黒人女性とマッチした白人対照群を分析した.
- 患者は,人口統計,プレゼンテーションの特徴 (腫瘍のステージとグレードを含む),および受けた治療に基づいてマッチングされました.
- 5年生存率は,主な結果の指標でした.
主要な成果:
- 黒人女性と白人女性の間の5年生存における最初の12.9%の絶対的な差が観察されました.
- プレゼンテーションの特徴をマッチングした後,この生存のギャップは4.4%に大幅に縮小しました.
- 治療のさらなるマッチングにより,ギャップは3.6%に縮小され,治療ではなくプレゼンテーションが主な要因であることが示されました.
結論:
- SEER-Medicareデータベースの黒人と白人の女性の乳がん生存率の格差は,1991年から2005年にかけてほとんど変わらなかった.
- これらの生存率の差異は,主に診断時の疾患の表象の変動と関連しています.
- 治療による差異は,観察された生存ギャップの最小部分を占めています.
関連する概念動画
02:07Tumor Progression
6.3K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.3K
02:53Adaptive Mechanisms in Cancer Cells
5.8K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.8K
01:18Survival Curves
957
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
957
01:15Assumptions of Survival Analysis
503
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
503
01:20Comparing the Survival Analysis of Two or More Groups
726
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
726
01:21Cancer Survival Analysis
870
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
870