Page 18 - Pulse@UM Issue 1/2020
P. 18

but also indirect estimates. In the eventuality  However, experts caution against placing           Bridging Translational Cancer
        of AB trials being found/ conducted, the  too much emphasis on the ranking outcome
        estimates for AB will then become known  for a few reasons; one of which relates to                 Research - Current Status,
        as mixed estimates because, the estimate  the lack of clinical consideration (such
        of AB is now comprised of direct as well  as treatment risk profile) if the treatment               Challenges and Future
        as indirect estimates. A mixed estimate  ranking were to be interpreted at ‘face value’
        is generally more precise than direct or  (Mbuagbaw, L et al 2017).                                 Strategies
        indirect estimates alone (e.g. confidence
        interval is narrower).                      Assumptions in NMA are generally similar                LOOI MEE LEE                                 NUR AISHAH MOHD TAIB
                                                    to assumptions in pairwise meta-analysis                (Department of Biomedical Science)           (Department of Surgery)
        The key benefit of NMA is to pool relevant  (i.e. studies are sufficiently similar and
        evidence and perform comparison for three  homogeneous with regards to disease
        or more treatments simultaneously (even  effect modifiers and study characteristics).
        in the absence of head-to-head studies).  However, in NMA, the validity of the
        However, NMA may also be used to provide  results (especially the indirect evidence) is
        a concise summary of how each treatment is  underpinned by additional assumptions.
        compared to others, permitting researchers  These assumptions are assumption of
        to identify strength and gaps in the evidence  consistency between direct and indirect
        base (Figure 3). Additionally, decision  estimates (i.e. both estimates should
        makers may use NMA to gain information  agree) and assumption of transitivity (i.e.
        on treatment ranking. Treatment ranking,  distribution of effect modifiers is similar
        which is normally performed under the  across comparisons). Apart from violation
        Bayesian framework, may be expressed  of these assumptions, methodological
        as the probability of each treatment being  flaws and inclusion of poorly conducted/
        ranked the best.                            reported clinical trials are among some
                                                    factors that could undermine the quality of
                                                    NMA results.


                                                    It is therefore important to critically
                                                    appraise any meta-analysis work even
                                                    though it is the highest level of evidence.
                                                    Ironically, meta-analysis is in principle an            Panel of speakers and organising committee. Organising committee members: Dr. Looi Mee Lee, Dr. Kamariah Ibra-
                                                    observational type of study. It is also easily                             him, Dr. Mohamad Shafiq Azanan, Dr. Jaime Jacqueline Jayapalan.
                                                    affected by the biases of observational study           On 3 March 2020, in conjunction with  interdisciplinary research grant proposals
                                                    design.                                                 World Cancer Day, the University of  for funding agencies in the future. Prof.
                                                                                                            Malaya Cancer Research Institute (UMCRi)  Dr Nur Aishah Taib, Director of UMCRi
                                                    References:                                             organised the “Bridging Translational  briefed the  participants  on  UMCRi  and
                                                    Bannuru et al. Comparative effectiveness of pharmacologic inter-  Cancer  Research”  forum.  The  forum  saw  current restructuring exercise towards UM
                                                    ventions for knee osteoarthritis: a systematic review and network
                                                    meta-analysis. Annals of internal medicine. 2015 Jan 6;162(1):46-  participation  from  UM clinical  and pre- Cancer Institute. She welcome members and
                                                    54.
        Figure  2:  Example  of  a  network  plot  summarizing   Chandler et al. Cochrane handbook for systematic reviews of in-  clinical researchers; 47 participants were in  associate members to participate once the
        connectivity  of  evidence.  Treatment  groups  are   terventions. John Wiley & Sons; 2019 Sep 23.
        represented by circles (nodes) while the lines between   Mbuagbaw et al. Approaches to interpreting and choosing the   attendance. The event aimed to provide a  restructuring exercise has been completed.
        each nodes represents direct comparison. Size of nodes   best treatments in network meta-analyses. Systematic reviews.   forum for researchers to share and facilitate
                                                    2017 Dec;6(1):79.
        and  width  of  lines  are  proportionate  to  the  number   Riley et al. Multivariate and network meta-analysis of multiple   collaborative research among the UM  The forum invited renowned researchers
        of  participants  and  number  of  studies,  respectively.   outcomes and multiple treatments: rationale, concepts, and ex-
                                                    amples. BMJ. 2017 Sep 13;358: j3932.
        (Adapted from Bannuru et al, 2015)                                                                  members and hence potentially motivate  from UM to share their bench-to-bedside
    18   Research Spotlight                                                                                                                                                19   Research Spotlight
   13   14   15   16   17   18   19   20   21   22   23