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Volumn 9, Issue 10, 2014, Pages

ClinicalTrials.gov as a data source for semi-automated point-of-care trial eligibility screening

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATION; CLINICAL TRIAL (TOPIC); CLINICALTRIALS.GOV; CRITERION VARIABLE; E-MAIL; ELECTRONIC MEDICAL RECORD; FACTUAL DATABASE; HOSPITAL INFORMATION SYSTEM; HUMAN; INFORMATION RETRIEVAL; INFORMATION SERVICE; LANGUAGE PROCESSING; LIBRARY SCIENCE; MEDICAL INFORMATICS; PATIENT IDENTIFICATION; PATIENT SELECTION; ELECTRONIC HEALTH RECORD; NATURAL LANGUAGE PROCESSING; ORGANIZATION AND MANAGEMENT; POINT OF CARE SYSTEM; REGISTER;

EID: 84908178934     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0111055     Document Type: Article
Times cited : (11)

References (35)
  • 1
    • 80054927407 scopus 로고    scopus 로고
    • Strategies for recruitment and retention of participants in clinical trials
    • Probstfield JL, Frye R.L. (2011) Strategies for recruitment and retention of participants in clinical trials. JAMA: The Journal of the American Medical Association 306: 1798-1799. doi:10.1001/jama.2011.1544.
    • (2011) JAMA: The Journal of the American Medical Association , vol.306 , pp. 1798-1799
    • Probstfield, J.L.1    Frye, R.L.2
  • 2
    • 84867914684 scopus 로고    scopus 로고
    • The darker side of randomized trials: Recruitment challenges
    • Sibai T, Carlisle H, Tornetta P. (2012) The darker side of randomized trials: recruitment challenges. J Bone Joint Surg Am 94 Suppl 1: 49-55. doi:10.2106/JBJS.L.00240.
    • (2012) J Bone Joint Surg Am , vol.94 , pp. 49-55
    • Sibai, T.1    Carlisle, H.2    Tornetta, P.3
  • 3
    • 84872865030 scopus 로고    scopus 로고
    • UK must improve its recruitment rate in clinical trials, report says
    • Hawkes N (2012) UK must improve its recruitment rate in clinical trials, report says. BMJ 345: e8104. doi:10.1136/bmj.e8104.
    • (2012) BMJ , vol.345
    • Hawkes, N.1
  • 4
    • 84875995109 scopus 로고    scopus 로고
    • Effort required in eligibility screening for clinical trials
    • Penberthy LT, Dahman BA, Petkov V.I., DeShazo J.P. (2012) Effort required in eligibility screening for clinical trials. J Oncol Pract 8: 365-370. doi:10.1200/JOp.2012.000646.
    • (2012) J Oncol Pract , vol.8 , pp. 365-370
    • Penberthy, L.T.1    Dahman, B.A.2    Petkov, V.I.3    DeShazo, J.P.4
  • 5
    • 84873709240 scopus 로고    scopus 로고
    • Patient recruitment into a multicenter randomized clinical trial for kidney disease: Report of the focal segmental glomerulosclerosis clinical trial (FSGS CT)
    • Ferris M, Norwood V, Radeva M., Gassman JJ, Al-Uzri A, et al. (2012) Patient Recruitment into a Multicenter Randomized Clinical Trial for Kidney Disease: Report of the Focal Segmental Glomerulosclerosis Clinical Trial (FSGS CT). CTS 6: 13-20. doi:10.1111/cts.12003.
    • (2012) CTS , vol.6 , pp. 13-20
    • Ferris, M.1    Norwood, V.2    Radeva, M.3    Gassman, J.J.4    Al-Uzri, A.5
  • 6
    • 84884480381 scopus 로고    scopus 로고
    • New tools automatically match patients with clinical trials
    • Opar A (2013) New tools automatically match patients with clinical trials. Nat Med 19: 793. doi:10.1038/nm0713-793.
    • (2013) Nat Med , vol.19 , pp. 793
    • Opar, A.1
  • 7
    • 84873695399 scopus 로고    scopus 로고
    • Patient- and trial-specific barriers to participation in cardiovascular randomized clinical trials
    • Martin SS, Ou FS, Newby L.K., Sutton V., Adams P, et al. (2013) Patient- and Trial-Specific Barriers to Participation in Cardiovascular Randomized Clinical Trials. Journal of the American College of Cardiology 61: 762-769. doi:10.1016/j.jacc.2012.10.046.
    • (2013) Journal of the American College of Cardiology , vol.61 , pp. 762-769
    • Martin, S.S.1    Ou, F.S.2    Newby, L.K.3    Sutton, V.4    Adams, P.5
  • 8
    • 0034116015 scopus 로고    scopus 로고
    • Factors that predict the referral of breast cancer patients onto clinical trials by their surgeons and medical oncologists
    • Siminoff L, Zhang A, Colabianchi N., Sturm CMS, Shen Q. (2000) Factors that predict the referral of breast cancer patients onto clinical trials by their surgeons and medical oncologists. J Clin Oncol 18: 1203-1211.
    • (2000) J Clin Oncol , vol.18 , pp. 1203-1211
    • Siminoff, L.1    Zhang, A.2    Colabianchi, N.3    Sturm, C.M.S.4    Shen, Q.5
  • 9
    • 84865171465 scopus 로고    scopus 로고
    • The SMART platform: Early experience enabling substitutable applications for electronic health records
    • Mandl KD, Mandel J, Murphy S.N., Bernstam EV, Ramoni RL, et al. (2012) The SMART Platform: early experience enabling substitutable applications for electronic health records. JAMIA 19: 597-603. doi:10.1136/amiajnl-2011-000622.
    • (2012) JAMIA , vol.19 , pp. 597-603
    • Mandl, K.D.1    Mandel, J.2    Murphy, S.N.3    Bernstam, E.V.4    Ramoni, R.L.5
  • 11
    • 84879919898 scopus 로고    scopus 로고
    • Linking ClinicalTrials.gov and PubMed to track results of interventional human clinical trials
    • Huser V, Cimino J.J. (2013) Linking ClinicalTrials.gov and PubMed to track results of interventional human clinical trials. PLoS ONE 8: e68409. doi:10.1371/journal.pone.0068409.
    • (2013) PLoS ONE , vol.8
    • Huser, V.1    Cimino, J.J.2
  • 14
    • 44349165214 scopus 로고    scopus 로고
    • Using the internet to search for cancer clinical trials: A comparative audit of clinical trial search tools
    • Atkinson NL, Saperstein SL, Massett H.A., Leonard CR, Grama L, et al. (2008) Using the Internet to search for cancer clinical trials: a comparative audit of clinical trial search tools. Contemp Clin Trials 29: 555-564. doi:10.1016/j.cct.2008.01.007.
    • (2008) Contemp Clin Trials , vol.29 , pp. 555-564
    • Atkinson, N.L.1    Saperstein, S.L.2    Massett, H.A.3    Leonard, C.R.4    Grama, L.5
  • 15
    • 84908160364 scopus 로고    scopus 로고
    • Available
    • Patients Like Me (2014) Patients Like Me. Available: http://www.patientslikeme.com/.
    • (2014) Patients Like Me
  • 16
    • 84908221391 scopus 로고    scopus 로고
    • Available
    • Research Match (2014) Research Match. Available: https://www.researchmatch.org/.
    • (2014) Research Match
  • 17
    • 84908208561 scopus 로고    scopus 로고
    • Available
    • Fox Trial Finder (2014) Fox Trial Finder. Available: https://foxtrialfinder.michaeljfox.org/.
    • (2014) Fox Trial Finder
  • 18
    • 84908164100 scopus 로고    scopus 로고
    • Available
    • Trial X (2014) Trial X. Available: http://trialx.com.
    • (2014) Trial X
    • Trial, X.1
  • 20
    • 77952742925 scopus 로고    scopus 로고
    • Formal representation of eligibility criteria: A literature review
    • Weng C, Tu SW, Sim I, Richesson R. (2010) Formal representation of eligibility criteria: a literature review. Journal of Biomedical Informatics 43: 451-467. doi:10.1016/j.jbi.2009.12.004.
    • (2010) Journal of Biomedical Informatics , vol.43 , pp. 451-467
    • Weng, C.1    Tu, S.W.2    Sim, I.3    Richesson, R.4
  • 21
    • 84875498106 scopus 로고    scopus 로고
    • Analysis of eligibility criteria complexity in clinical trials
    • Ross J, Tu S, Carini S., Sim I. (2010) Analysis of eligibility criteria complexity in clinical trials. AMIA Summits Transl Sci Proc 2010: 46-50.
    • (2010) AMIA Summits Transl Sci Proc , vol.2010 , pp. 46-50
    • Ross, J.1    Tu, S.2    Carini, S.3    Sim, I.4
  • 22
    • 79952761747 scopus 로고    scopus 로고
    • A practical method for transforming free-text eligibility criteria into computable criteria
    • Tu SW, Peleg M, Carini S., Bobak M, Ross J, et al (2011) A practical method for transforming free-text eligibility criteria into computable criteria. Journal of Biomedical Informatics 44: 239-250. doi:10.1016/j.jbi.2010.09.007.
    • (2011) Journal of Biomedical Informatics , vol.44 , pp. 239-250
    • Tu, S.W.1    Peleg, M.2    Carini, S.3    Bobak, M.4    Ross, J.5
  • 25
    • 84863557848 scopus 로고    scopus 로고
    • EliXR: An approach to eligibility criteria extraction and representation
    • Weng C, Wu X, Luo Z., Boland MR, Theodoratos D, et al. (2011) EliXR: an approach to eligibility criteria extraction and representation. JAMIA 18 Suppl 1: i116-i124. doi:10.1136/amiajnl-2011-000321.
    • (2011) JAMIA , vol.18 , pp. i116-i124
    • Weng, C.1    Wu, X.2    Luo, Z.3    Boland, M.R.4    Theodoratos, D.5
  • 27
    • 84879598998 scopus 로고    scopus 로고
    • Trust but verify: Trial registration and determining fidelity to the protocol
    • Zarin DA, Tse T. (2013) Trust but verify: trial registration and determining fidelity to the protocol. Ann Intern Med 159: 65-67. doi:10.7326/0003-4819-159-1-201307020-00011.
    • (2013) Ann Intern Med , vol.159 , pp. 65-67
    • Zarin, D.A.1    Tse, T.2
  • 28
    • 84882744737 scopus 로고    scopus 로고
    • Evaluating temporal relations in clinical text: 2012 i2b2 challenge
    • Sun W, Rumshisky A, Uzuner O. (2013) Evaluating temporal relations in clinical text: 2012 i2b2 Challenge. JAMIA 20: 806-813. doi:10.1136/amiajnl-2013-001628.
    • (2013) JAMIA , vol.20 , pp. 806-813
    • Sun, W.1    Rumshisky, A.2    Uzuner, O.3
  • 30
    • 84883784869 scopus 로고    scopus 로고
    • EliXR-TIME: A temporal knowledge representation for clinical research eligibility criteria
    • Boland MR, Tu SW, Carini S, Sim I., Weng C. (2012) EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria. AMIA Summits Transl Sci Proc 2012: 71-80.
    • (2012) AMIA Summits Transl Sci Proc , vol.2012 , pp. 71-80
    • Boland, M.R.1    Tu, S.W.2    Carini, S.3    Sim, I.4    Weng, C.5
  • 31
    • 84862200972 scopus 로고    scopus 로고
    • Escaping the EHR trap - The future of health IT
    • Mandl KD, Kohane I.S. (2012) Escaping the EHR trap - the future of health IT. N Engl J Med 366: 2240-2242. doi:10.1056/NEJMp1203102.
    • (2012) N Engl J Med , vol.366 , pp. 2240-2242
    • Mandl, K.D.1    Kohane, I.S.2
  • 32
    • 84888201364 scopus 로고    scopus 로고
    • Unsupervised mining of frequent tags for clinical eligibility text indexing
    • Miotto R, Weng C. (2013) Unsupervised mining of frequent tags for clinical eligibility text indexing. Journal of Biomedical Informatics 46: 1145-1151. doi:10.1016/j.jbi.2013.08.012.
    • (2013) Journal of Biomedical Informatics , vol.46 , pp. 1145-1151
    • Miotto, R.1    Weng, C.2
  • 33
    • 84886524717 scopus 로고    scopus 로고
    • Feasibility of feature-based indexing, clustering, and search of clinical trials: A case study of breast cancer trials from ClinicalTrials.gov
    • Boland MR, Miotto R, Gao J., Weng C. (2013) Feasibility of feature-based indexing, clustering, and search of clinical trials: A case study of breast cancer trials from ClinicalTrials.gov. Methods Inf Med 52: 382-394. doi:10.3414/ME12-01-0092.
    • (2013) Methods Inf Med , vol.52 , pp. 382-394
    • Boland, M.R.1    Miotto, R.2    Gao, J.3    Weng, C.4
  • 34
    • 84860431065 scopus 로고    scopus 로고
    • ASCOT: A text mining-based webservice for efficient search and assisted creation of clinical trials
    • Korkontzelos I, Mu T, Ananiadou S. (2012) ASCOT: a text mining-based webservice for efficient search and assisted creation of clinical trials. BMC Med Inform Decis Mak 12 Suppl 1: S3. doi:10.1186/1472-6947-12-S1-S3.
    • (2012) BMC Med Inform Decis Mak , vol.12 , pp. S3
    • Korkontzelos, I.1    Mu, T.2    Ananiadou, S.3
  • 35
    • 84873106410 scopus 로고    scopus 로고
    • A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria
    • Luo Z, Miotto R, Weng C. (2013) A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. Journal of Biomedical Informatics 46: 33-39. doi:10.1016/j.jbi.2012.07.006.
    • (2013) Journal of Biomedical Informatics , vol.46 , pp. 33-39
    • Luo, Z.1    Miotto, R.2    Weng, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.