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National Guideline Alliance (UK). Cystic Fibrosis: Diagnosis and management. London: National Institute for Health and Care Excellence (NICE); 2017 Oct 25. (NICE Guideline, No. 78.)

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Cystic Fibrosis: Diagnosis and management.

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Table 133Philips checklist for chronic antibiotic agents

SectionPass/failComments
Structure
Statement of decision problem / objectivePDecision problem stated clearly in title, and clarified in ‘comparisons’ section
Justification of modelling approachPJustified with reference to published literature on the same topic
Statement of scope / perspectivePComparisons’ section clearly delineates scope, and perspective explicitly described as being ‘Reference Case’ in section relating to model structure.
Structural assumptionsPAssumptions justified in section ‘Model structure’, and clinical relevance confirmed with Guideline committee. Biggest assumption (of relationship between short and long-term treatment) described in relevant section
Strategies / ComparatorsPVery nonstandard approach to transition probabilities, but otherwise structure is highly consistent with other similar models in the area
Model typePStrategies selected with reference to available literature, especially pre-existing TAs. Choice of cut-offs for FEV states well justified as model is intended to match some of the work of prior economists in the area
Time horizonPChoice of Markov Model straightforward and well justified. Use of ‘fully incremental’ analysis slightly unusual, but well justified in the text with reference to heterogeneity of studies
Health states/disease pathwaysPLifetime time horizon, in keeping with Reference Case
Cycle LengthPHealth states carefully considered and modelled to represent only critical transitions within disease pathway.
ParsimonyPCycle length unusual (first cycle is 28 days, subsequent cycles 24 weeks) but justified with reference to literature and committee consensus
Data
Data IdentificationPSystematic review of published literature
Data SynthesisN/AUnclear if any synthesis was appropriate
DiscountingP3.5% as specified in Reference Case
Analysis of trial dataPData analysed at most appropriate level
Treatment effectsPOdds ratios derived from trials and superimposed on population baseline risks
Transition probabilitiesPDerivation of transitions probabilities not standard as model attempts to map a continuous process onto a discrete-state model. Nevertheless the methodology employed here is well-described, and validated by NICE TSU
MortalityPDiscussion of mortality in model write-up; CF has a very poor prognosis and so life tables not appropriate. Data from Vertex used to calculate ‘all cause CF’ mortality, and lung-transplant specific mortality appended to this
ExtrapolationPSignificant extrapolation, but well justified in text with reference to committee expert opinion. Not possible to validate with reference to literature, as such literature does not exist
Risk factorsPEvidence of nonlinear effect of risk factors on mortality sought and incorporated into model, for example by considering lung transplant as a separate state
UtilitiesPUtilities described in section on health related quality of life, and justified with reference to literature
Charges and costsPCharges and costs described in section on resource and cost use, and come from standard sources such as NHS Reference Costs and PSSRU
Adjustment over time / between countriesPCosts inflated from historic values using HCHS index
Half-cycle correctionFHalf-cycle correction unlikely to be necessary as cycle length much shorter than time horizon of model
Data incorporationPChoice of data to incorporate and how the data are used is clear and well-justified
Uncertainty
General statement regarding sensitivity analysisPDescribed in sections on the method and results of sensitivity analysis
StructuralPModel structure based on published and validated model, and deviating from this model would be methodologically unsound
MethodologicalPAlthough discount rate not varied as per Philips (2004), substantial methodological variation examined and discussed
ParameterPPSA undertaken for aztreonam comparison. Exclusion of other comparisons justified with reference to relative certainty of parametrisation for these comparisons (they have TAs from NICE which cannot be challenged)
Consistency
InternalPModel is highly robust to ‘stress testing’ such as putting extreme values into cells. Model behaves in an intuitive way, for example recommending treatments to which a substantial discount has been applied
ExternalPFace validity confirmed with reference to Guideline committee. Additionally, values appear congruent with general clinical practice.
Between-modelPResults consistent with literature on the topic
PredictiveN/AModel not intended to be used predictively, and such predictive work would be well outside NICE methods manual

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