diff --git a/README.md b/README.md index f4c45804dba0194b897c7f128af65dda9a0696ba..de4c77d2f4f51d8a4719d38b99f3352a0bcc4ee1 100644 --- a/README.md +++ b/README.md @@ -1 +1,72 @@ -# MELD Concept Versions +<center> + <img src="https://upload.wikimedia.org/wikipedia/en/thumb/3/32/University_of_Southampton_Logo.png/1200px-University_of_Southampton_Logo.png" height="100" style="padding-right: 50px;" /> + <img src="https://www.swansea.ac.uk/_assets/images/logos/swansea-university-2017.en.png" height="100"/> + +</center> + +# MELD-B Concepts Release + +This project generates the medical coding lists that defines cohort phenotypes used for inclusion criteria in MELD-B. The goal is to automatically prepare a code list from an approved clinical specification of inclusion criteria. + +The output code list is then used by data providers to select MELD-B cohorts. + +### Medical Code Sources + +#### MLTC Coding Sources +MELD-B has defined a set of phenotypes for MLTC conditions that are considered burdensome. Each Phenotype includes one or more diagnosis. + +* Ho et al - https://cronfa.swan.ac.uk/Record/cronfa60877/Download/60877__25107__3700915cf20e418aae714e5639722449.pdf + * The diagnositc codes have been mapped by SAIL to by the ThinkingGroup https://github.com/THINKINGGroup/phenotypes which has been replicated by the RSF https://github.com/aim-rsf/phenotypes + * Azcoaga-Lorenzo, A., Akbari, A., Davies, J., Khunti, K., Kadam, U.T., Lyons, R., McCowan, C., Mercer, S.W., Nirantharakumar, K., Staniszewska, S. and Guthrie, B., 2022. Measuring multimorbidity in research: Delphi consensus study. BMJ medicine, 1(1), p.e000247. + +* Hanlon et al - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901063/#pmed.1003931.s005 + * https://github.com/dmcalli2/dynamic_protocols/blob/master/defining_comorbidities_SAIL.md?? + * Hanlon, P., Jani, B.D., Nicholl, B., Lewsey, J., McAllister, D.A. and Mair, F.S., 2022. Associations between multimorbidity and adverse health outcomes in UK Biobank and the SAIL Databank: A comparison of longitudinal cohort studies. PLoS Medicine, 19(3), p.e1003931. + +- ClinicalCodes Project, University of Manchester - https://clinicalcodes.rss.mhs.man.ac.uk/ + +- Hollinghurst et al (for Frailty Primary Care) - https://academic.oup.com/ageing/article/48/6/922/5576114 + - Joe Hollinghurst, Richard Fry, Ashley Akbari, Andy Clegg, Ronan A Lyons, Alan Watkins, Sarah E Rodgers, External validation of the electronic Frailty Index using the population of Wales within the Secure Anonymised Information Linkage Databank, Age and Ageing, Volume 48, Issue 6, November 2019, Pages 922–926, https://doi.org/10.1093/ageing/afz110 + +- Gilbert et al (for Frailty Secondary Care) - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946808/ + - Gilbert T, Neuburger J, Kraindler J, Keeble E, Smith P, Ariti C, Arora S, Street A, Parker S, Roberts HC, Bardsley M, Conroy S. Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study. Lancet. 2018 May 5;391(10132):1775-1782. doi: 10.1016/S0140-6736(18)30668-8. Epub 2018 Apr 26. PMID: 29706364; PMCID: PMC5946808. + +- Abbasizanjani et al (for Long Covid) https://www.adruk.org/news-publications/publications-reports/data-insight-clinical-coding-and-capture-of-long-covid-a-cohort-study-in-wales-using-linked-health-and-demographic-data-824/ + - Abbasizanjani H, Bedston S, Robinson L, Curds M, Akbari A. Clinical coding and capture of Long COVID: a cohort study in Wales using linked health and demographic data. ADR Wales Data Insight. August 2023. https://adrwales.org/wp-content/uploads/2023/08/Clinical-coding-and-capture-of-Long-COVID.pdf + + +* Morton C., Walker A. (for Sickle Disease) https://www.opencodelists.org/codelist/opensafely/sickle-cell-disease/2020-04-14/ + +* Department of Public Health and Primary Care, University of Cambridge (for Irritable Bowel Syndrome) https://www.phpc.cam.ac.uk/pcu/research/research-groups/crmh/cprd_cam/codelists/v11/ + + +<!-- MELD-B has extended the set of conditions to include additional conditions that are considered burdensome but further work is needed to determine if these should be included +* LongCovid: https://bjgp.org/content/71/712/e806 + + +MELD-B has identified other MLTC lists but it's not clear how these are processed +* Cambridge: https://www.phpc.cam.ac.uk/pcu/research/research-groups/crmh/cprd_cam/codelists/v11/ +* CALIBAR: https://www.thelancet.com/article/S2589-7500(19)30012-3/fulltext, https://www.caliberresearch.org/portal/codelists +* Head: https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(21)00146-X/fulltext +* Barnet: https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(12)60240-2/fulltext#sec1 --> + + +#### Drug Code Sources +MELD-B uses drug codes as a proxy indicator of burden. This codes are derived from work by Francis Mair. + +* Hanlon, P. https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003931 + * Hanlon, P., Jani, B.D., Nicholl, B., Lewsey, J., McAllister, D.A. and Mair, F.S., 2022. Associations between multimorbidity and adverse health outcomes in UK Biobank and the SAIL Databank: A comparison of longitudinal cohort studies. PLoS Medicine, 19(3), p.e1003931. +- Wilinson et al http://dx.doi.org/10.1136/jech-2021-217090 + - Wilkinson T, Schnier C, Bush K, et alDrug prescriptions and dementia incidence: a medication-wide association study of 17000 dementia cases among half a million participantsJ Epidemiol Community Health 2022;76:223-229. + + + +## 🦠Funding +This project has received funding from the National Institute of Health Research under grant agreement NIHR203988. + +<img src="https://www.nihr.ac.uk/images/NIHR%20logos/NIHR-logo-1200-375.jpg" height="100" /> + +## âš–ï¸ License + + +This work is licensed under a [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0). \ No newline at end of file