How to Build CHD@ZJU

CHD related Articles were retrieved from Pubmed, by entering keywords "coronary heart disease" and constrict the publish date from 2000/1/1 to now (2013/1/23). As a result, totally 115898 articles were found and their abstracts were downloaded for text mining. Since some articles didn't contain abstracts, only 88396 abstracts remained.
The text-mining process to get CHD related genes could be divided in to 5 following steps:

  • 1) Extracting all keywords from abstracts and ignoring those keywords start with numbers. 101402 keywords were extracted.

    •
  • 2) Input these keywords into Gene library in ArrayTrack and find possible related genes. 4674 genes were then found.

  • 3) Put these 4674 genes again into pubmed abstracts to find related aticles. Only genes which offical name or there keyword description (such as prolactin for gene PRL) could be found in the abstract would be remained. As a result, 1247 genes were remained.

    •
  • 4) Manually examined on the 1247 genes to validate it was acutally related to CHD. Some genes would be filtered if it represents other meanings (such as gene CAD, Entrez ID:790, carbamoyl-phosphate synthetase 2, is mostly meant coronary arterial disease in articles). 681 genes were then validated with at least one reference.

  • 5) All genes was compared with 1078 CHD genes in RGD database, and 370 genes were overlapped. These 370 genes were labels as "RGD_Supported" and the other 293 genes were labels as "REFERED". All 663 genes had supported references in CHD@ZJU which were examined by step 4.

    • How To contact Us

    Collaboration Information: Prof. Xiaohui Fan (fanxh@zju.edu.cn)

    Website using assistance : Leihong Wu (11019004@zju.edu.cn)




    [DGRW-update: patient education].
  • Author:"Faller, H;Reusch, A;Meng, K"

  • Published Year:2011

  • Journal:Die Rehabilitation

  • Abstract:"Patient education programmes, i. e. standardized, manualized, interactive group programmes aiming to increase self-management and empowerment, are a core element of medical rehabilitation for chronic conditions. In an update of the evidence of the effectiveness of patient education, its effectiveness was proven for a broad spectrum of chronic disorders, such as diabetes mellitus, chronic low back pain, rheumatoid arthritis, coronary heart disease, chronic heart failure, bronchial asthma, COPD, and cancer, as well as for the modification of health behaviours, such as diet and exercise. To sustain effects, aftercare interventions, such as support provided by phone, were found to be successful. Interventions targeted to particular patient groups according to gender, age, or migration background are also being developed more frequently. When evaluating educational interventions not only distal outcomes, such as quality of life and participation, should be used but also proximal outcomes such as self-management skills. A recent survey of patient education practice in medical rehabilitation revealed a continuing potential for optimization relative to manualization, evaluation and didactics. However, the dissemination of innovative programmes into rehabilitation routine presents a major challenge."

  • 10.1055/s-0031-1285889

    • |Click to search this paper in PubMed|   | back to gene page|