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このページは機械翻訳されています。他のページは英語で表示される場合があります。View in English
  1. ホーム
  2. 研究分野
  3. 生物医学と臨床科学
  4. 腫瘍学とがん発生
  5. 予測・予測マーカー
  6. 大規模な退役軍人の集団におけるcovid-19感染後3年後の癌発生率の低下

大規模な退役軍人の集団におけるCOVID-19感染後3年後の癌発生率の低下

Jerry Bradley1, Fei Tang2, Natasha M Resendes1,2

  • 1Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida, United States of America.

PloS one
|August 25, 2025

関連する実験動画

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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PubMed で要約を見る

まとめ
この要約は機械生成です。

COVID-19の感染は,最初のパンデミック波の間,米国退役軍人のがんリスクの25%低下と関連していました. この発見は,ウイルス感染とがん発生の間の潜在的な相互作用を示唆し,さらなる調査を正当化しています.

科学分野:

  • 腫瘍学
  • 感染症
  • 流行病学について

背景:

  • COVID-19ががん発生率に及ぼす影響は不明であり,リスクの増大と減少の両方の可能性がある.
  • 以前の研究によると ウイルス感染症は 免疫系を調節することで 癌の発生に影響を及ぼすことが分かりました
  • この研究は,大規模な退役軍人の集団におけるCOVID-19感染と,その後の癌診断との関連を調査しています.

研究 の 目的:

  • 米国退役軍人のCOVID-19感染とがん発生率の関連性を調べる.
  • COVID-19の診断後に癌を発症するリスクを定量化するためです.
  • この関連性に影響を与える潜在的な人口統計的要因を探求する.

主な方法:

  • 第1波 (2020年3月〜11月) でCOVID-19と診断された米国退役軍人の遡及コホート研究.
  • COVID-19陽性と陰性の患者グループ間のがん発生率の比較.
  • 3年間の追跡期間中の危険比率を計算するために使用されたコックスの比例的危険回帰モデル.
  • 年齢,人種,性別,BMI,喫煙状況,VHAシステム活動を含む共変数による調整.

主要な成果:

  • この研究には499,396人の患者が参加し,17.2%がCOVID-19陽性であった.

関連する実験動画

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

193
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

376
  • COVID-19の生存者は,がんのリスクが25%減少した (HR=0.75,95%CI:0.73-0.77).
  • このリスクの減少は,アジア人の例外を除いて,性別や人種によって一貫していました.
  • 癌の発生リスクは45歳以上の年齢でさらに減少した.
  • 結論:

    • 最初のパンデミック波におけるCOVID-19の診断は,3年間でがん発生率の低下と関連していました.
    • 観察されたがんリスクの減少は,ほとんどの集団で一貫していました.
    • この相互作用の背後にあるメカニズムを明らかにするために,さらなる見通し研究が推奨されています.