These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
313 related items for PubMed ID: 26979325
21. Validity of cancer diagnosis in a primary care database compared with linked cancer registrations in England. Population-based cohort study. Dregan A, Moller H, Murray-Thomas T, Gulliford MC. Cancer Epidemiol; 2012 Oct; 36(5):425-9. PubMed ID: 22727737 [Abstract] [Full Text] [Related]
22. The Health Informatics Trial Enhancement Project (HITE): Using routinely collected primary care data to identify potential participants for a depression trial. McGregor J, Brooks C, Chalasani P, Chukwuma J, Hutchings H, Lyons RA, Lloyd K. Trials; 2010 Apr 15; 11():39. PubMed ID: 20398303 [Abstract] [Full Text] [Related]
24. An administrative data validation study of the accuracy of algorithms for identifying rheumatoid arthritis: the influence of the reference standard on algorithm performance. Widdifield J, Bombardier C, Bernatsky S, Paterson JM, Green D, Young J, Ivers N, Butt DA, Jaakkimainen RL, Thorne JC, Tu K. BMC Musculoskelet Disord; 2014 Jun 23; 15():216. PubMed ID: 24956925 [Abstract] [Full Text] [Related]
26. A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: overview, recruitment and linkage. Lloyd K, McGregor J, John A, Craddock N, Walters JT, Linden D, Jones I, Bentall R, Lyons RA, Ford DV, Owen MJ. Schizophr Res; 2015 Aug 23; 166(1-3):131-6. PubMed ID: 26139629 [Abstract] [Full Text] [Related]
29. A validation study of a new classification algorithm to identify rheumatoid arthritis using administrative health databases: case-control and cohort diagnostic accuracy studies. Results from the RECord linkage On Rheumatic Diseases study of the Italian Society for Rheumatology. Carrara G, Scirè CA, Zambon A, Cimmino MA, Cerra C, Caprioli M, Cagnotto G, Nicotra F, Arfè A, Migliazza S, Corrao G, Minisola G, Montecucco C. BMJ Open; 2015 Jan 28; 5(1):e006029. PubMed ID: 25631308 [Abstract] [Full Text] [Related]
30. Validation of methods for assessing cardiovascular disease using electronic health data in a cohort of Veterans with diabetes. Floyd JS, Blondon M, Moore KP, Boyko EJ, Smith NL. Pharmacoepidemiol Drug Saf; 2016 Apr 28; 25(4):467-71. PubMed ID: 26555025 [Abstract] [Full Text] [Related]
34. Effects of the COVID-19 pandemic on the mental health of clinically extremely vulnerable children and children living with clinically extremely vulnerable people in Wales: a data linkage study. Cowley LE, Hodgson K, Song J, Whiffen T, Tan J, John A, Bandyopadhyay A, Davies AR. BMJ Open; 2023 Jun 16; 13(6):e067882. PubMed ID: 37328187 [Abstract] [Full Text] [Related]
35. Determining the predictive value of Read codes to identify congenital cardiac malformations in the UK Clinical Practice Research Datalink. Hammad TA, Margulis AV, Ding Y, Strazzeri MM, Epperly H. Pharmacoepidemiol Drug Saf; 2013 Nov 16; 22(11):1233-8. PubMed ID: 24002995 [Abstract] [Full Text] [Related]
36. 'Caveat emptor': the cautionary tale of endocarditis and the potential pitfalls of clinical coding data-an electronic health records study. Fawcett N, Young B, Peto L, Quan TP, Gillott R, Wu J, Middlemass C, Weston S, Crook DW, Peto TEA, Muller-Pebody B, Johnson AP, Walker AS, Sandoe JAT. BMC Med; 2019 Sep 04; 17(1):169. PubMed ID: 31481119 [Abstract] [Full Text] [Related]
38. Recording of severe mental illness in United Kingdom primary care, 2000-2010. Hardoon S, Hayes JF, Blackburn R, Petersen I, Walters K, Nazareth I, Osborn DP. PLoS One; 2013 Sep 04; 8(12):e82365. PubMed ID: 24349267 [Abstract] [Full Text] [Related]