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dc.contributor.authorKumarasamy, Chellan
dc.contributor.authorSabarimurugan, Shanthi
dc.contributor.authorMadurantakam, Royam Madhav
dc.contributor.authorLakhotiya, Kartik
dc.contributor.authorSamiappan, Suja
dc.contributor.authorBaxi, Siddhratha
dc.contributor.authorNachimuthu, Ramesh
dc.contributor.authorGothandam, Kodiveri Muthukaliannan
dc.contributor.authorJayaraj, Rama
dc.date.accessioned2019-12-09T05:19:22Z
dc.date.available2019-12-09T05:19:22Z
dc.date.issued2019
dc.identifier.issn0025-7974
dc.identifier.doi10.1097/MD.0000000000014834
dc.identifier.urihttp://hdl.handle.net/10072/389610
dc.description.abstractBACKGROUND: The neutrophil-lymphocyte-ratio, platelet-lymphocyte-ratio, and monocyte-lymphocyte-ratio have been explored as a simple, inexpensive, and effective method for cancer prognosis. However, there are no studies that have investigated the comparative utility of these markers, in multiple cancers. METHODS: The preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) guidelines were used to design this meta-analysis protocol. The final study will also be conducted under the PRISMA guidelines for systematic reviews and meta-analyses. The core bibliographic database search will be carried out by 2 reviewers working individually, with each conducting an initial screening based on titles and abstracts. The shortlisted articles will be selected for review and quantitative analysis, based on predefined inclusion and exclusion criteria. Study characteristics, relevant clinicopathological characteristics, and statistical data required for meta-analysis (hazard ratios [HRs] and 95% confidence intervals [CIs]) will be extracted and compiled into a MS Excel datasheet. Meta-analysis will be performed, using a random-effects model, and the results (pooled HR and 95% CI) will be presented in the form of a forest plot. Publication bias will also be assessed by use of Egger bias indicator test and funnel plot symmetry. If statistical data from included studies is insufficient, a qualitative literature review will be pursued.PROSPERO registration: PROSPERO CRD42019121008.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherWolters Kluwer Health
dc.publisher.placeUnited States
dc.relation.ispartofpagefrome14834: 1
dc.relation.ispartofpagetoe14834: 6
dc.relation.ispartofissue24
dc.relation.ispartofjournalMedicine
dc.relation.ispartofvolume98
dc.subject.fieldofresearchClinical Sciences
dc.subject.fieldofresearchcode1103
dc.subject.keywordssystematic review
dc.subject.keywordsTO-LYMPHOCYTE RATIO
dc.subject.keywordsTUMOR MICROENVIRONMENT
dc.subject.keywordsPOOR-PROGNOSIS
dc.subject.keywordsHETEROGENEITY
dc.titlePrognostic significance of blood inflammatory biomarkers NLR, PLR, and LMR in cancer-A protocol for systematic review and meta-analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationKumarasamy, C; Sabarimurugan, S; Madurantakam, RM; Lakhotiya, K; Samiappan, S; Baxi, S; Nachimuthu, R; Gothandam, KM; Jayaraj, R, Prognostic significance of blood inflammatory biomarkers NLR, PLR, and LMR in cancer-A protocol for systematic review and meta-analysis, Medicine, 2019, 98 (24), pp. e14834: 1-e14834: 6
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.date.updated2019-12-09T05:09:33Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2019 the Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorBaxi, Siddhartha


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