不死の時間バイアスの影響の定量化:メタ解析からの経験的証拠
PubMedで要約を見る
まとめ
この要約は機械生成です。不死の時間バイアス (ITB) は医学研究において一般的であり,治療効果をほぼ29%誇張する可能性がある. ITBを特定して除外すると,証拠の信頼性が向上し,統計の異質性が減少します.
科学分野
- 流行病学
- バイオ統計学
- 医学研究方法論
背景
- 不死の時間バイアス (ITB) は,生存分析において,被曝が開始される前にフォローアップ時間が発生し,人工的に有利な結果につながる系統的なエラーです.
- このバイアスは 治療群のフォローアップに 誤って結果が出ない期間が 含まれているときに起こります
研究 の 目的
- 科学文献で不死の時間バイアスが影響する研究を 体系的に特定する.
- 生存分析の研究における不死の時間バイアスの影響,統計的有意性,および異質性を評価する.
主な方法
- 定量合成による体系的なレビューをPubMed,Embase,Cochrane Libraryで検索して,メタ疫学研究が行われました.
- 適格なシステマティック・レビューはITBの存在を分析し,効果サイズと異質性に関するデータが抽出されました.
- ITBを使った研究とITBのない研究を比較するために,一般的な逆相差法とサブグループ分析を用いて再分析を行った.
主要な成果
- 25件のトピックと182件の研究で,44. 0%がITBの影響を受けた.
- ITBを使用した研究では,ITBを使用していない研究と比較して平均29%の効果サイズが膨らみました (ES比: 0. 71).
- ITB研究を除外すると,研究間の異質性 (I2) が21. 4%減少し,トピックの23. 8%で統計的有意性が変化した.
結論
- 不死の時間のバイアスは特定の医学研究分野において一般的であり,効果の大きさを大きく膨らませ,誇張され,誤解を招く証拠につながります.
- 研究の結論の妥当性を確保するために,生存分析においてITBを慎重に評価し,対処する重要性を強調しています.
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