Transcript PPT
資料的評讀 III- 預後 神經內科 王志弘醫師 Prognosis • • • • 預後 What’s going to happen to me? Will I regain the function of my arm? What is the prognosis in this patient with metastatic lung cancer? • What is the risk of stroke in a patient with non-valvular atrial fibrillation? Types of Reports • • • • Systemic review Cohort study Randomized trials Case control studies Cohort Study Randomized Trials Case Control Study Validity Impact Applicability 正確性 效用 運用性 Validity Are the results of this prognosis study valid? Representative Samples • 代表性 – Disease spectrum • 從疾病中的哪個時間點開始追蹤 – 整個研究所收錄的患者都能位在類似的疾病時 間點上 (類似的stage) – Inception cohort • （確定的）症狀開始出現的時間點 • 開始檢查或治療的時間點 • 越早越好 Follow Up • 追蹤患者直到痊癒，或者發生特定的結果 （疾病、併發症、死亡） • 追蹤時間 • 追蹤率，loss of follow up – 死亡、疾病太嚴重無法來追蹤 – 搬家 – Loss <5%: little bias – Loss >20%: 嚴重影響可信度 • “Best” or “Worst” cases Outcome • Outcome criteria – 死亡 • The occurrence of death is objective, but judging the underlying cause of death is prone to error. – specific criteria to define each important outcome • Blind Prognostic Factors • 預後因子 – Demographic (age, gender), disease specific (MVP with MR), or co-morbid (HTN) variables that are associated with the outcome of interest. • 致病因子：直接引起疾病 • 危險因子 – Risk factors – 環境、或是生活型態等因素，與疾病的生成有 關 Subgruop Analysis • 是否重要的預後因子都有納入考慮，並予 以調整 – 分層分析 – 多變項分析 • 驗證預後因子 – 實驗組 – 驗證組 Impact Is this valid evidence about the prognosis important? Results Format • Percentage of survival at a particular time point – 1-year or 5-year survival rare • Median survival ( the length that 50% patients died) • Survival curve – Kaplan Meier curves How Precise • Confidence interval • From our study, we found that age, male sex (Hazard ratio 1.4) and functional impairment (2.1 [1.6–3.3]) were predictors of mortality. Education, social class and self-reported health didn't predict mortality. Median survival of male patients aged 70–79 was 4.6 years (3.0–8.6). Applicability Can we apply this valid, important evidence about prognosis to our patient? Patient vs Study Group • Difference is inevitable. • Are the study patients so different from ours that we should not use the results at all? Impact on Decision Making • Prognostic evidence – for deciding whether or not to initiate therapy – for monitoring therapy that has been initiated – for deciding which diagnostic tests to order