The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
26 authors.
Nicola Brew-SamNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia Nicola.Brew-Sam@anu.edu.au.ORCID 0000-0001-7544-4499
Anne ParkinsonNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-9053-0707
Christian LueckSchool of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-1537-7612
Ellen BrownNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-7924-4857
Karen BrownNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-3312-120X
Anne BruestleThe John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-3842-5683
Katrina ChisholmNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-6878-8701
Simone CollinsThe Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.
Matthew CookThe John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-3331-9363
Eleni DaskalakiSchool of Computing, College of Engineering and Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-7665-7039
Janet DrewNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-8862-5448
Harry EbbeckNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.
Mark ElishaNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-6798-0723
Vanessa FanningNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-9211-4256
Adam HenschkeDepartment of Philosophy, University of Twente, Enschede, Overijssel, The Netherlands.ORCID 0000-0002-2956-0883
Jessica HerronThe Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.
Emma MatthewsThe Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.
Krishnan MurugappanNanotechnology Research Lab, Research School of Chemistry, College of Science, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-6845-4653
Dragomir NeshevDepartment of Electronic Materials Engineering, Research School of Physics, College of Science, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-4508-8646
Christopher J NolanSchool of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-6964-3819
Lachlan PedleyNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-0212-3656
Christine PhillipsSchool of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-5602-3664
Hanna SuominenSchool of Computing, College of Engineering and Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-4195-1641
Antonio TricoliNanotechnology Research Lab, Research School of Chemistry, College of Science, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-4964-2111
Kristine WrightThe Centenary Hospital for Women and Children, Canberra Health Services, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-7649-900X
Jane DesboroughNational Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID 0000-0003-1406-4593
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
introductionThe terms 'precision medicine' and 'personalised medicine' have become key terms in health-related research and in science-related public communication. However, the application of these two concepts and their interpretation in various disciplines are heterogeneous, which also affects research translation and public awareness. This leads to confusion regarding the use and distinction of the two concepts. Our aim is to provide a snapshot of the current understanding of these concepts. METHODS AND ANALYSIS: Our study will use Rodgers' evolutionary concept analysis to systematically examine the current understanding of the concepts 'precision medicine' and 'personalised medicine' in clinical medicine, biomedicine (incorporating genomics and bioinformatics), health services research, physics, chemistry, engineering, machine learning and artificial intelligence, and to identify their respective attributes (clusters of characteristics) and surrogate and related terms. A systematic search of the literature will be conducted for 2016-2022 using databases relevant to each of these disciplines: ACM Digital Library, CINAHL, Cochrane Library, F1000Research, IEEE Xplore, PubMed/Medline, Science Direct, Scopus and Web of Science. These are among the most representative databases for the included disciplines. We will examine similarities and differences in definitions of 'precision medicine' and 'personalised medicine' in the respective disciplines and across (sub)disciplines, including attributes of each term. This will enable us to determine how these two concepts are distinguished. ETHICS AND DISSEMINATION: Following ethical and research standards, we will comprehensively report the methodology for a systematic analysis following Rodgers' concept analysis method. Our systematic concept analysis will contribute to the clarification of the two concepts and distinction in their application in given settings and circumstances. Such a broad concept analysis will contribute to non-systematic syntheses of the concepts, or occasional systematic reviews on one of the concepts that have been published in specific disciplines, in order to facilitate interdisciplinary communication, translational medical research and implementation science.
Indexed as
Artificial IntelligencePrecision MedicineHumansMachine LearningSystematic Reviews as TopicProtocols & guidelinesQUALITATIVE RESEARCHSTATISTICS & RESEARCH METHODS
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis. · full record | OpenQuestion