Database comparison of the adult-to-adult living donor liver transplantation cohort study (A2ALL) and the SRTR U.S. Transplant Registry.
Database comparison of the adult-to-adult living donor liver transplantation cohort study (A2ALL) and the SRTR U.S. Transplant Registry.
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DOI：
10.1111/j.1600-6143.2010.03039.x
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发表时间：
2010-07
期刊：
影响因子：
--
通讯作者：
A2ALL Study Group
中科院分区：
文献类型：
--
作者：
Gillespie BW;Merion RM;Ortiz-Rios E;Tong L;Shaked A;Brown RS;Ojo AO;Hayashi PH;Berg CL;Abecassis MM;Ashworth AS;Friese CE;Hong JC;Trotter JF;Everhart JE;A2ALL Study Group
移植项目提交给器官获取和移植网络（OPTN）的数据被移植接受者科学登记处（SRTR）用于政策制定，绩效评估和研究。本研究将OPTN/SRTR数据与9中心A2 ALL研究的研究协调员从病历中提取的数据进行了比较。A2 ALL数据的收集独立于OPTN数据提交（785名肝移植候选人/受者中的48个数据元素; 386名供体中的12个数据元素）。OPTN/SRTR和A2 ALL之间的11/29个基线受体元素、4/19个受体移植或随访元素和6/12个供体元素的一致性至少为90%。对于其余的受体和供体元素，OPTN/SRTR中>10%的值缺失，但在A2 ALL中存在，证实缺失数据在很大程度上是可以避免的。除分配所需的变量外，各中心的缺失百分比差异很大。这些发现支持OPTN/SRTR对数据质量控制的扩展关注，其变量集比用于分配的变量集更广泛。对缺失值进行中心特定监测可大幅改善数据。
Data submitted by transplant programs to the Organ Procurement and Transplantation Network (OPTN) are used by the Scientific Registry of Transplant Recipients (SRTR) for policy development, performance evaluation, and research. This study compared OPTN/SRTR data with data extracted from medical records by research coordinators from the nine-center A2ALL study. A2ALL data were collected independently of OPTN data submission (48 data elements among 785 liver transplant candidates/recipients; 12 data elements among 386 donors). At least 90% agreement occurred between OPTN/SRTR and A2ALL for 11/29 baseline recipient elements, 4/19 recipient transplant or follow-up elements, and 6/12 donor elements. For the remaining recipient and donor elements, >10% of values were missing in OPTN/SRTR but present in A2ALL, confirming that missing data were largely avoidable. Other than variables required for allocation, the percentage missing varied widely by center. These findings support an expanded focus on data quality control by OPTN/SRTR for a broader variable set than those used for allocation. Center-specific monitoring of missing values could substantially improve the data.
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影响因子：
8.8
作者：
Wiesner, R. H.;Steffen, B. J.;Lake, J. R.
通讯作者：
Lake, J. R.
影响因子：
13.6
作者：
Stirnemann, Paula M.;Takemoto, Steven K.;Lentine, Krista L.
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Lentine, Krista L.
影响因子：
8.8
作者：
Schaubel, D. E.;Guidinger, M. K.;Merion, R. M.
通讯作者：
Merion, R. M.
DOI：
10.2215/cjn.02790707
发表时间：
2008-01-01
影响因子：
9.8
作者：
Buchanan, Paula M.;Schnitzler, Mark A.;Lentine, Krista L.
通讯作者：
Lentine, Krista L.
影响因子：
8.8
作者：
Levine, GN;McCullough, KP;Schaubel, DE
通讯作者：
Schaubel, DE