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dc.contributor.authorLyratzopoulos, Georgios
dc.date.accessioned2018-11-24T00:31:16Z
dc.date.available2018-11-24T00:31:16Z
dc.date.issued2018-09
dc.identifier.issn0960-1643
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/285941
dc.description.abstractIn this issue of the BJGP, Koshiaris and colleagues present a primary care electronic health records study that examines the combined predictive value for multiple myeloma of presenting symptoms and blood tests commonly used in primary care.1 Building on previous related research,2 this study reports important new evidence that could help doctors to both shorten diagnostic intervals in patients with this (very hard-to-suspect) cancer and minimise the need for specialist assessment in those unlikely to have the disease. A key finding is that in patients with persistent back or bone pain the combination of normal full-blood count and normal erythrocyte sedimentation rate/plasma viscosity can help to reasonably rule out the risk of multiple myeloma.
dc.description.sponsorshipThis research arises from the CanTest Collaborative, which is funded by Cancer Research UK [C8640/A23385]. Additionally, Georgios Lyratzopoulos is supported by a Cancer Research UK Advanced Clinician Scientist Award [C18081/A18180].
dc.format.mediumPrint
dc.languageeng
dc.publisherRoyal College of General Practitioners
dc.subjectHumans
dc.subjectMultiple Myeloma
dc.subjectCase-Control Studies
dc.subjectPrimary Health Care
dc.subjectEarly Detection of Cancer
dc.subjectElectronic Health Records
dc.titleElectronic patient records research to aid diagnostic reasoning for possible cancer in primary care.
dc.typeArticle
prism.endingPage409
prism.issueIdentifier674
prism.publicationDate2018
prism.publicationNameBr J Gen Pract
prism.startingPage408
prism.volume68
dc.identifier.doi10.17863/CAM.33268
dcterms.dateAccepted2018-08-27
rioxxterms.versionofrecord10.3399/bjgp18X698585
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-09
dc.contributor.orcidLyratzopoulos, Georgios [0000-0002-2873-7421]
dc.identifier.eissn1478-5242
rioxxterms.typeJournal Article/Review
cam.issuedOnline2018-08-30
rioxxterms.freetoread.startdate2019-09-30


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