{"id":6630,"date":"2017-01-13T14:43:02","date_gmt":"2017-01-13T05:43:02","guid":{"rendered":"http:\/\/aihara.la.coocan.jp\/?p=6630"},"modified":"2017-01-30T14:17:26","modified_gmt":"2017-01-30T05:17:26","slug":"%e5%b0%8f%e5%85%90%e3%81%ae%e5%87%ba%e3%81%a3%e6%ad%af%e3%81%af%e3%80%817%ef%bd%9e11%e6%ad%b3%e3%81%94%e3%82%8d%e3%81%ab%e7%9f%af%e6%ad%a3%e6%b2%bb%e7%99%82%e3%82%92%e9%96%8b%e5%a7%8b%e3%81%99-3","status":"publish","type":"post","link":"http:\/\/aihara.la.coocan.jp\/?p=6630","title":{"rendered":"\u5c0f\u5150\u306e\u51fa\u3063\u6b6f\u306f\u30017\uff5e11\u6b73\u3054\u308d\u306b\u77ef\u6b63\u6cbb\u7642\u3092\u958b\u59cb\u3059\u3079\u304d\u304b\u3001\u65e9\u671f\u9752\u5e74\u671f\uff0811\uff5e16\u6b73\uff09\u306b\u958b\u59cb\u3059\u3079\u304d\u304b \u30fc[2b-1]"},"content":{"rendered":"

\u672c\u8a18\u4e8b\u306b\u304a\u3044\u3066\u306f\u3001\u4eca\u56de\u63a1\u7528\u3055\u308c\u305fThiruvenkatachari\u306b\u3088\u308b\u30ec\u30d3\u30e5\u30fc\uff082013\uff09\u3092\u201d\u30b3\u30af\u30e9\u30f3CDSR\u201d\u3001\u6b6f\u79d1\u77ef\u6b63\u8a3a\u7642\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u306e\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30ec\u30d3\u30e5\u30fc\u30c1\u30fc\u30e0\u3092\u201dSR\u30c1\u30fc\u30e0\u201d\u3001\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u30d1\u30cd\u30eb\u3092\u201dCPG\u30d1\u30cd\u30eb\u201d\u3068\u3057\u3066\u8a18\u8f09\u3057\u3066\u3044\u304d\u307e\u3059\u3002\u305d\u3057\u3066\u3001\u30b3\u30af\u30e9\u30f3CDSR\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u3001\u6b6f\u79d1\u77ef\u6b63\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u306b\u63d0\u793a\u3055\u308c\u305f\u5185\u5bb9\u306b\u3064\u3044\u3066\u3001\u79c1\u306eGRADE\u89e3\u91c8\u3092\u6bd4\u8f03\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n

\u307e\u305f\u3001\u81e8\u5e8a\u7591\u554f\uff08CQ\uff09\u306b\u95a2\u3057\u3066\u306f\u3001\u6b6f\u79d1\u77ef\u6b63\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u3068\u306f\u5225\u306e\u3082\u306e\u3082\u65b0\u305f\u306b\u4f5c\u6210\u3057\u3066\u6bd4\u8f03\u3059\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\n<\/td>\n<\/tr>\n<\/table>\n

<\/p>\n

\u3055\u3066\u3001CQ-1\u306b\u95a2\u3057\u3066\u53ce\u96c6\u3057\u305f\u30a8\u30d3\u30c7\u30f3\u30b9\u306fRCT\u306e\u30b3\u30af\u30e9\u30f3CDSR\u3067\u3059\u3002\u30b3\u30af\u30e9\u30f3CDSR\u3067\u306f\u63a1\u7528\u7814\u7a76\u306f17\u4ef6\u3067\u3059\u304c\u3001\u672c\u6bd4\u8f03\u306b\u304a\u3051\u308b\u63a1\u7528\u7814\u7a76\u306f\u30013\u4ef6\uff08Florida_1998, NC_2004, UK-mixed_2009\uff09\u3067\u3059\u3002\u63a1\u7528\u3055\u308c\u305f\u5404\u7814\u7a76\uff08RCT\uff09\u306eRisk of bias\uff08RoB\uff09\u8a55\u4fa1\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u7d50\u679c\u3067\u3059\u3002<\/p>\n

\u25a0Risk of bias graph<\/b>
(RevMan5)<\/p>\n

\"Risk_of_sumary-1\"<\/a>
\n<\/p>\n

\u30a8\u30d3\u30c7\u30f3\u30b9\u306e\u78ba\u5b9f\u6027\u8a55\u4fa1\u306b\u95a2\u3059\u308bGRADE\u30c9\u30e1\u30a4\u30f3\uff08\uff15\u3064\u306e\u7b49\u7d1a\u30c0\u30a6\u30f3\uff09\u306e\u4e00\u3064\u304c\u3001Risk of bias\u3067\u3059\u3002<\/p>\n

CQ 1<\/b><\/span><\/td>\n\u4e0a\u984e\u524d\u6b6f\u304c\u524d\u7a81\u3057\u305f\u5c0f\u5150\u306b\u304a\u3044\u3066\u3001\u65e9\u671f\u77ef\u6b63\u6cbb\u7642\uff087\uff5e11\u6b73\uff09\u306f\u3001\u65e9\u671f\u9752\u5e74\u671f\u77ef\u6b63\u6cbb\u7642\uff0812\uff5e16\u6b73\uff09\u3068\u6bd4\u8f03\u3057\u3066\u3001\u6709\u52b9\u304b\uff08\u512a\u5148\u3057\u3066\u5b9f\u65bd\u3059\u3079\u304d\u304b\uff09\uff1f<\/b><\/td>\n<\/tr>\n
\n

analytic framework\u306b\u304a\u3051\u308b\u3001CQ\u306b\u304a\u3051\u308b\u4ecb\u5165\u306e\u6bd4\u8f03\u306f\u3001\u300c\u7dd1\u300d vs \u300c\u8d64\u300d\u3067\u3059\u3002\u77ef\u6b63\u6cbb\u7642\u306e\u4ecb\u5165\u306e\u7a2e\u985e\u304c\u3001\u6a5f\u80fd\u7684\u77ef\u6b63\u3082\u3042\u308c\u3070\u3001\u30d8\u30c3\u30c9\u30ae\u30a2\u77ef\u6b63\u3082\u3042\u308b\u3068\u3044\u3063\u305f\u5185\u5bb9\u3067\u3059\u3002<\/p>\n

\n\"cq-1_teeth\"<\/a><\/p>\n

\n\n\n\n\n
①Risk of bias<\/b><\/td>\n<\/tr>\n
\n

\uff08SR\u30c1\u30fc\u30e0\uff09\uff13\u4ef6\u306e\u7814\u7a76\u306e\u3046\u3061\uff12\u4ef6\u306erisk of bias\u304c\u9ad8\u3044\u305f\u3081\uff12\u6bb5\u968e\u30b0\u30ec\u30fc\u30c9\u3092\u4e0b\u3052\u305f<\/p>\n<\/td>\n<\/tr>\n

\n

\u3053\u306eSR\u30c1\u30fc\u30e0\u306e\u8a55\u4fa1\u3068\u5bfe\u5fdc\u306b\u306f\u554f\u984c\u304c\u3042\u308a\u307e\u3059\u3002
\n#1.
\nGRADE\u306erisk of bias<\/strong>\u306b\u95a2\u3059\u308b\u8a55\u4fa1\u57fa\u6e96\u3067\u306f\u3001\u201d\u975e\u5e38\u306b\u6df1\u523b\u306a\u9650\u754c\uff08risk of bias\uff09\u306b\u3088\u308b2\u6bb5\u968e\u7b49\u7d1a\u30c0\u30a6\u30f3\u201d\u306f\u3001\u300c\u500b\u3005\u306e\u7814\u7a76\u30ec\u30d9\u30eb\u3067\u306f\u3001\uff11\u3064\u4ee5\u4e0a\u306e\u57fa\u6e96\u306b\u91cd\u5927\u306a\u9650\u754c\u304c\u3042\u308a\u3001\u52b9\u679c\u63a8\u5b9a\u5024\u306e\u78ba\u5b9f\u6027\u3092\u5927\u5e45\u306b\u4f4e\u304f\u3059\u308b\u300d\u5834\u5408\u3067\u3059\u3002\u305d\u3057\u3066\u3001\u300c\u8907\u6570\u306e\u7814\u7a76\u30ec\u30d9\u30eb\u3067\u306f\u3001\u307b\u3068\u3093\u3069\u306e\u60c5\u5831\u304chigh risk of bias\u7814\u7a76\u304b\u3089\u5f97\u3089\u308c\u3066\u3044\u308b\u300d\u3082\u306e\u3067\u3001\u6700\u7d42\u7684\u306b\u300c\u771f\u306e\u52b9\u679c\u304c\u52b9\u679c\u63a8\u5b9a\u5024\u3068\u306f\u5927\u304d\u304f\u7570\u306a\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u300d\u3068\u3044\u3046\u8a55\u4fa1\u3092\u610f\u5473\u3057\u3066\u3044\u307e\u3059\uff08GRADE\u521d\u7248<\/b><\/a>\u306e\u88681.5.1-7\u3001GRADE\uff12\u7248<\/b><\/a>\u306e\u88684.4-11\uff09\u3002<\/p>\n

\u3053\u306eGRADE\u57fa\u6e96\u3092\u4f7f\u3046\u9650\u308a\u3001\u4e0a\u8a18\u306eRoB summary\u3067\u63d0\u793a\u3055\u308c\u3066\u3044\u308b\u9650\u754c\u304c\u3001\uff12\u6bb5\u968e\u3082\u306e\u7b49\u7d1a\u30c0\u30a6\u30f3\u306b\u5024\u3057\u3066\u3044\u308b\u3068\u306f\u8003\u3048\u306b\u304f\u3044\u3067\u3059\u3002<\/p>\n

\u5177\u4f53\u7684\u306b\u3001Florida_1998\u7814\u7a76\u306b\u304a\u3051\u308b\u9650\u754c\u306e\uff11\u3064\u306f\u3001\u5c64\u5225\u30e9\u30f3\u30c0\u30e0\u5316\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u304c\u3001\u3053\u306e\u30e9\u30f3\u30c0\u30e0\u5272\u308a\u4ed8\u3051\u306b\u3088\u3063\u3066\u3001\u51fa\u3063\u6b6f\u306e\u60a3\u8005\u306e\u4e88\u5f8c\u30d0\u30e9\u30f3\u30b9\u304c\u304f\u305a\u308c\u308b\u3068\u306f\u5230\u5e95\u601d\u3048\u306a\u3044\u3067\u3059\u3002<\/p>\n

SR\u30c1\u30fc\u30e0\u3084CPG\u30d1\u30cd\u30eb\u304c\u3001\u300c\u5426\u3001\u975e\u5e38\u306b\u6df1\u523b\u306a\u9650\u754c\u3067\u3001\uff12\u6bb5\u968e\u4f4e\u4e0b\u306f\u59a5\u5f53\u3067\u3042\u308b\u300d\u3068\u4e3b\u5f35\u3057\u305f\u3068\u3057\u307e\u3057\u3087\u3046\u3002\u305d\u308c\u306a\u3089\u3070\u3001\u73fe\u5728\u63d0\u793a\u3057\u3066\u3044\u308b\u52b9\u679c\u63a8\u5b9a\u5024\u304c\u3069\u306e\u3088\u3046\u306b\u5927\u304d\u304f\u7570\u306a\u308b\u306e\u3060\u308d\u3046\u304b\u3068\u3044\u3046\u7591\u554f\u304c\uff08GRADE\u306e\u5b9a\u7fa9\u304b\u3089\uff09\u51fa\u3066\u304d\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u73fe\u5b9f\u306b\u306f\u3001CPG\u30d1\u30cd\u30eb\u306f\u3001\u300c\u4ed6\u306e\u91cd\u8981\u306a\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u95a2\u3057\u3066\u30a8\u30d3\u30c7\u30f3\u30b9\u304c\u793a\u3055\u308c\u305f\u3068\u3057\u3066\u3082\u4eca\u56de\u3068\u540c\u69d8\u306b\u5dee\u304c\u306a\u3044\u3068\u3044\u3046\u7d50\u679c\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u3002\u5dee\u304c\u306a\u3044\u3068\u3044\u3046\u7d50\u679c\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u7814\u7a76\u306b\u5bfe\u3057\u3066\u3001\u4eca\u5f8c\u306e\u7814\u7a76\u3092\u5b9f\u65bd\u3059\u308b\u3053\u3068\u3055\u3048\u96e3\u3057\u3044\u300d\u3068\u8a18\u8f09\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u3064\u307e\u308a\u3001Risk of bias\u306e\u8a55\u4fa1\u306b\u304a\u3044\u3066\u306f\u3001\u201d\u4eca\u5f8c\u306e\u7814\u7a76\u3067\u52b9\u679c\u63a8\u5b9a\u5024\u304c\u5927\u304d\u304f\u5909\u308f\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u7b49\u7d1a\u30c0\u30a6\u30f3(-2)\u201d\u3068\u3057\u3066\u3044\u306a\u304c\u3089\u3001\u63a8\u5968\u4f5c\u6210\u306e\u7d50\u8ad6\u3067\u306f\u3001\u201d\u63d0\u793a\u3057\u3066\u3044\u308b\u52b9\u679c\u306e\u7a0b\u5ea6\u306f\u5909\u308f\u3089\u306a\u3044\u201d\u3068\u3044\u3046\u3001\u975e\u5e38\u306b\u77db\u76fe\u3057\u305f\u8a55\u4fa1\u904e\u7a0b\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

<\/p>\n

#2.
\nSR\u30c1\u30fc\u30e0\u306e\u30e1\u30f3\u30d0\u30fc\u306b\u306f\u3001\u300c\u3044\u3084\u3044\u3084\u3001”random allocation”\u3060\u3051\u3067\u306f\u306a\u304f\u3001”incomplete outcome data (attrition bias<\/b>)*a<\/sup>\u201d\u304c\u3042\u308b\u306e\u3067\uff12\u6bb5\u968e\u4f4e\u4e0b\u306a\u3093\u3067\u3059\u300d\u3068\u4e3b\u5f35\u3059\u308b\u65b9\u3082\u3044\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001\uff08\u7279\u306b\u8a3a\u7642\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u4f5c\u6210\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u308b\u4ee5\u4e0a\u306f\uff09\u3001\u305d\u308c\u3082\u307e\u305f\u5b89\u6613\u3067\u4e0d\u9069\u5207\u306a\u5224\u65ad\u3067\u3059\u3002<\/p>\n

\u63a1\u7528\u7814\u7a76\u306e\u3046\u3061\u3001Florida_1998\u7814\u7a76\u3068NC_2004\u7814\u7a76\u3067\u306f20%\u53f0\u306e\u8131\u843d\u304c\u3042\u308a\u3001\u30b3\u30af\u30e9\u30f3CDSR\u8457\u8005\u3089\u306f\u3001”high risk of bias”\u3068\u8a55\u4fa1\u3057\u3066\u3044\u307e\u3059\u3002\u6570\u5e74\u524d\u307e\u3067\u306f\u5c11\u306a\u304f\u3068\u3082SR\u306b\u304a\u3044\u3066\u306f\u3001\u305d\u308c\u3082\u3042\u308a\u3067\u3057\u3087\u3046\u3002\u3057\u304b\u3057\u3001\u306a\u3093\u306e\u7591\u3044\u3082\u306a\u304f\u8457\u8005\u3089\u306e\u5224\u5b9a\u3092\u305d\u306e\u307e\u307e\u5229\u7528\u3059\u308b\u3053\u3068\u306f\u3001\u597d\u307e\u3057\u304f\u306a\u3044\u3067\u3059\u3002<\/p>\n

\u3055\u3066\u3001attrition bias<\/b>\u306b\u304a\u3051\u308b\u30c9\u30ed\u30c3\u30d7\u30a2\u30a6\u30c8\u7387\u306f\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3051\u308b\u52b9\u679c\u63a8\u5b9a\u5024\u3092\u5de6\u53f3\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u6b20\u640d\u5024\uff08missing data\uff09<\/b>\u306b\u3064\u3044\u3066\u9069\u5207\u306b\u691c\u8a0e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u5bfe\u7167\u7fa4\u3042\u308b\u3044\u306f\u4ecb\u5165\u7fa4\u306b\u304a\u3051\u308b\u8131\u843d\u7387\u3092\u8003\u616e\u3057\u3066\u3001\u305d\u306e\u6b20\u640d\u5024\u3092\u88dc\u5b8c\uff08imputation\uff09<\/b>\u3059\u308b\u3068\u3044\u3063\u305f\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3059\u3002<\/p>\n

\u3053\u306e\u624b\u6cd5\u306f\u3001\u591a\u91cd\u4ee3\u5165\u6cd5 (multiple imputation)<\/strong>\u3068\u3082\u3044\u308f\u308c\u308b\u3082\u306e\u3067\u30011987\u5e74\u306bRubin\u304c\u767a\u8868\u3057\u3066\u3044\u307e\u3059(*1)\u3002\u7d71\u8a08\u5b66\u8005\u306b\u306f\u99b4\u67d3\u307f\u306e\u3042\u308b\u89e3\u6790\u624b\u6cd5\u306e\u3088\u3046\u3067\u3059\u3002<\/p>\n

GRADE working group\u304c\u52a0\u308f\u3063\u305fMcMaster\u5927\u5b66\u30c1\u30fc\u30e0\u306f\u3001\uff082\u5024\u30a2\u30a6\u30c8\u30ab\u30e0\u3042\u308b\u3044\u306f\u9023\u7d9a\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u304b\u304b\u308f\u3089\u305a\uff09\u6b20\u640d\u5024\u306e\u3042\u308b\uff08attrition bias\uff09\u30a8\u30d3\u30c7\u30f3\u30b9\u306eRoB\u3092\u8a55\u4fa1\u3059\u308b\u969b\u306b\u6d3b\u7528\u3059\u308b\u305f\u3081\u306eimputation\u624b\u6cd5\u3092\u958b\u767a\u63d0\u6848\u3057\u3001\u30b3\u30af\u30e9\u30f3\u30ec\u30d3\u30e5\u30fc\u4f5c\u6210\u8005\u306b\u3082\u305d\u306e\u6d3b\u7528\u3092\u63a8\u5968\u3057\u3066\u3044\u307e\u3059(*2)\u3002<\/p>\n

\u3057\u305f\u304c\u3063\u3066\u3001\u300c\u8131\u843d\u7387\u304c\u591a\u3044\u306e\u3067\u3001\u6df1\u523b\u306aRoB\u3042\u308a\u21d2\u7b49\u7d1a\u30c0\u30a6\u30f3\u300d\u3001\u3068\u306f\u306a\u3089\u306a\u3044\u30b1\u30fc\u30b9\u3082\u3042\u308c\u3070\u3001\u611f\u5ea6\u5206\u6790\u3057\u3060\u3044\u3067\u306f\u3001\u305d\u306e\u9006\u306e\u30d1\u30bf\u30fc\u30f3\u3082\u3042\u308a\u5f97\u308b\u308f\u3051\u3067\u3059\u3002<\/p>\n

\u3061\u306a\u307f\u306b\u3001\u4e0a\u8a18\u306e3\u7814\u7a76\u306b\u3064\u3044\u3066\u3001\u88dc\u5b8c\uff08imputation\uff09\u89e3\u6790\u3092\u3059\u308b\u3068\u3001\u201dRoB\u3068\u3057\u3066\u7b49\u7d1a\u30c0\u30a6\u30f3\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u201d\u3068\u3044\u3046\u7d50\u679c\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

\u307e\u305f\uff08\u5bb9\u6613\u306b\u60f3\u50cf\u3067\u304d\u308b\u3053\u3068\u3067\u3059\u304c\uff09\u3001\u3053\u306e\u6b20\u640d\u5024\u306b\u5bfe\u3059\u308b\u88dc\u5b8c\u306f\u3001RoB\u3068imprecision\u304c\u5bc6\u63a5\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u3082\u793a\u3057\u3066\u3044\u307e\u3059\u3002
imputation\u306e\u8a73\u7d30\u306f\u5225\u306b\u8aac\u660e\u3057\u307e\u3059\u304c\u3001RoB(-1) + imprecision (-1) = (-2)\u306b\u306f\u306a\u3089\u306a\u3044\u3001\u3068\u3044\u3046\u3068\u3066\u3082\u308f\u304b\u308a\u3084\u3059\u3044\u4f8b\u3068\u3082\u3044\u3048\u307e\u3059\u3002<\/p>\n

<\/p>\n

#3.
\n\u300cimputation\u306f\u5b9f\u65bd\u305b\u305a\u306b\u3001\u308f\u308c\u308f\u308c\u306f\u3042\u3048\u30662\u6bb5\u968e\u306e\u7b49\u7d1a\u30c0\u30a6\u30f3\u3068\u3057\u305f\u300d\u3068\u3044\u3046\u3053\u3068\u3042\u308c\u3070\uff08\u5b9f\u969b\u3053\u306e\u3088\u3046\u306b\u3057\u305f\u3068\u601d\u3044\u307e\u3059\u304c\uff09\u3001\u305d\u308c\u3082\u307e\u305f\u9069\u5207\u306a\u5bfe\u5fdc\u3068\u306f\u601d\u3048\u307e\u305b\u3093\u3002
\n\u306a\u305c\u306a\u3089\u3070\u3001\u4eca\u5ea6\u306fHigh RoB\u3068Low RoB\u3068\u306e\u9055\u3044\u3092\u6bd4\u8f03\u3059\u308b\u5fc5\u8981\u304c\u51fa\u3066\u304f\u308b\u304b\u3089\u3067\u3059\u3002\u53cc\u65b9\u306b\u9055\u3044\u304c\u3042\u308b\u306a\u3089\u3070\u3001High RoB\u3092\u63a1\u7528\u3057\u3066\u7d71\u5408\u3059\u308b\u3053\u3068\u306f\u4e0d\u9069\u5207\u3068\u3044\u3046\u3053\u3068\u306b\u306a\u308a\u307e\u3059\uff08\u30b3\u30af\u30e9\u30f3handbook\uff09\u30022\u6bb5\u968e\u3082\u7b49\u7d1a\u3092\u4e0b\u3052\u305f\u30a8\u30d3\u30c7\u30f3\u30b9\u3092\u4f7f\u3063\u3066\u63a8\u5968\u3092\u4f5c\u6210\u3059\u308b\u308f\u3051\u306b\u306f\u3044\u304b\u306a\u3044\u3001Low RoB\u3092\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308b\u3001\u3068\u3044\u3046\u3053\u3068\u3067\u3059\u3002<\/p>\n<\/td>\n<\/tr>\n

\n

\u3010\u79c1\u306e\u5224\u65ad\u3011\uff1aRoB\u306b\u3088\u308bRate down\u306a\u3057<\/u><\/em> <\/p>\n

\n\u30fbbody of evidence\u306b\u95a2\u3059\u308bRoB\u8a55\u4fa1\u306b\u304a\u3044\u3066\u3001\uff08\u672c\u30b1\u30fc\u30b9\u306b\u304a\u3044\u3066\u306f\uff092\u6bb5\u968e\u7b49\u7d1a\u30c0\u30a6\u30f3\u306f\u9593\u9055\u3063\u3066\u3044\u308b
\n\u30fb\u4e0d\u5b8c\u5168\u30a2\u30a6\u30c8\u30ab\u30e0\u30c7\u30fc\u30bf\u306b\u95a2\u3057\u3066\u306f\u3001\u88dc\u5b8c\uff08imputation\uff09\u3068\u3044\u3046\u89e3\u6790\u3092\u52a0\u3048\u3066\u691c\u8a0e\u3057\u306a\u3044\u3068\u3044\u3051\u306a\u3044
\n\u30fb\u672c\u8a18\u4e8b\u3067\u4f7f\u3046\u500b\u5225\u7814\u7a76\u306eRoB\u57fa\u6e96(**)\u304b\u3089\u306f\u3001\u7b49\u7d1a\u30c0\u30a6\u30f3\u3059\u308b\u3068\u3057\u3066\u30821\u6bb5\u968e(-1)\u3067\u3042\u308d\u3046
\n\u30fbHigh RoB\u3068Low RoB\u3092\u7d71\u5408\u3057\u3066\u306f\u3044\u3051\u306a\u3044
\n\u30fbSR\u30c1\u30fc\u30e0\u306f\u3001\u65e2\u5b58CDSR\u306b\u63d0\u793a\u3055\u308c\u308b\u30a8\u30d3\u30c7\u30f3\u30b9\u306e\u8cea\u3092\u3001\u305d\u306e\u307e\u307e\u5f15\u7528\u3057\u3066\u306f\u3044\u3051\u306a\u3044<\/p>\n<\/td>\n<\/tr>\n<\/table>\n

<\/p>\n

\n

\n*a. \u75c7\u4f8b\u6e1b\u5c11\u30d0\u30a4\u30a2\u30b9\u3002\u75c7\u4f8b\u306e\u8131\u843d\u306b\u3088\u308a\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u4e0d\u660e\u306e\u75c7\u4f8b\u304c\u751f\u3058\u308b\u3053\u3068\u306b\u504f\u308a\u304c\u751f\u3058\u3001\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5dee\u304c\u51fa\u308b\u3053\u3068\u3002
\n*1. Rubin DB. Multiple imputation for nonresponse in surveys. New York, NY: John Wiley & Sons, Inc.; 1987.
\n*2. Ebrahim E, et al. Addressing continuous data measured with different instruments for participants excluded from trial analysis:a guide for systematic reviewers. J Clin Epidemiol. 2014 May;67(5):560-70<\/p>\n<\/div>\n

\n**\u500b\u3005\u306e\u7814\u7a76\u306eRisk of bias\u8a55\u4fa1\u57fa\u6e96:<\/p>\n\n\n\n\n\n
\u500b\u3005\u306e\u7814\u7a76\u306eRoB\uff08\u30b3\u30af\u30e9\u30f3\u306e\uff16\u30c9\u30e1\u30a4\u30f3\uff09<\/td>\n\u5224\u5b9a<\/td>\n<\/td>\nFl_1998<\/td>\nNC_2004<\/td>\nUK_2009<\/td>\n<\/tr>\n
\u3044\u305a\u308c\u306e\u30c9\u30e1\u30a4\u30f3\u306b\u95a2\u3057\u3066\u3082High RoB\u306e\u3082\u306e\u304c\u306a\u3044\u3001\u3042\u308b\u3044\u306fUnclear RoB\u304c\uff13\u500b\u4ee5\u4e0b<\/td>\nLow <\/td>\n<\/td>\n<\/td>\n<\/td>\n✔<\/td>\n<\/tr>\n
High RoB\u304c\uff11\u500b\u3001\u3042\u308b\u3044\u306f\u3001\u3044\u305a\u308c\u306e\u30c9\u30e1\u30a4\u30f3\u306b\u95a2\u3057\u3066\u3082High RoB\u306e\u3082\u306e\u304c\u306a\u3044\u304c\u3001Unclear RoB\u304c\uff14\u500b\u4ee5\u4e0a<\/td>\nmoderate<\/td>\n⇒<\/td>\n<\/td>\n✔<\/td>\n<\/td>\n<\/tr>\n
\u4e0a\u8a18\u4ee5\u5916<\/td>\nHigh<\/td>\n<\/td>\n✔<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/table>\n

<\/p>\n

\u25a0Risk of bias graph:<\/b>
(RevMan5)<\/p>\n

\u4ee5\u4e0b\u306e\u30b0\u30e9\u30d5\u3092\u307f\u3066\u3082\u3001\u3069\u3046\u307f\u3066\u3082\u30012\u6bb5\u968e\u30c0\u30a6\u30f3\u3068\u306f\u306a\u3089\u306a\u3044\u3067\u3057\u3087\u3046\u30fb\u30fb\u30fb<\/p>\n

\"RoB_graph_teeth\"<\/a>
\n 
<\/p>\n","protected":false},"excerpt":{"rendered":"

\u672c\u8a18\u4e8b\u306b\u304a\u3044\u3066\u306f\u3001\u4eca\u56de\u63a1\u7528\u3055\u308c\u305fThiruvenkatachari\u306b\u3088\u308b\u30ec\u30d3\u30e5\u30fc\uff082013\uff09\u3092\u201d\u30b3\u30af\u30e9\u30f3CDSR\u201d\u3001\u6b6f\u79d1\u77ef\u6b63\u8a3a\u7642\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u306e\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30ec\u30d3\u30e5\u30fc\u30c1\u30fc\u30e0\u3092\u201dSR\u30c1\u30fc\u30e0\u201d\u3001\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u30d1\u30cd\u30eb\u3092\u201dCPG\u30d1 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,16],"tags":[],"_links":{"self":[{"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=\/wp\/v2\/posts\/6630"}],"collection":[{"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6630"}],"version-history":[{"count":89,"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=\/wp\/v2\/posts\/6630\/revisions"}],"predecessor-version":[{"id":7461,"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=\/wp\/v2\/posts\/6630\/revisions\/7461"}],"wp:attachment":[{"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6630"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/aihara.la.coocan.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}