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. 2022 Feb 7;376:e068177. doi: 10.1136/bmj-2021-068177

Table 1.

Extension of content guidance for statistical analysis plans (SAP) from early phase clinical trials

Section/item Original SAP content guidance Recommended early phase clinical trials extension guidance
Item No Description Item No Description
Section 1: Administrative information
Title and trial registration 1a Descriptive title that matches the protocol, with SAP either as a forerunner or subtitle, and trial acronym (if applicable)
1b Trial registration number
SAP version 2 SAP version number with dates
Protocol version 3 Reference to version of protocol being used
SAP revisions 4a SAP revision history
4b Justification for each SAP revision
4c Timing of SAP revisions in relation to interim analyses, etc
Roles and responsibility 5 Names, affiliations, and roles of SAP contributors
Signatures of: 6a Person writing the SAP
6b Senior statistician responsible
6c Chief investigator or clinical lead
Section 2: Introduction
Background and rationale 7 Synopsis of trial background and rationale including a brief description of research question and brief justification for undertaking the trial
Objectives 8 Description of specific objectives or hypotheses 8 Description of specific question, objectives, or hypotheses. It should be made clear what the key objectives are (eg, primary and secondary objectives that encompasses toxicity, efficacy, pharmacokinetics, pharmacodynamics, or some combination)
Section 3: Study methods
Trial design 9 Brief description of trial design including type of trial (eg, parallel group, multiarm, crossover, factorial) and allocation ratio and might include brief description of interventions 9a Brief description of trial design, including the trial phase and the design method (dose escalation (eg, CRM); or single arm phase II (eg, Simon’s two stage)). If the trial has a randomised element to it, summary information regarding the randomisation, including the allocation ratio, should be specified
9b Treatment information, including the dose levels of intervention(s). Where appropriate, and if multiple doses are used, the following should also be reported: the ordering and combination (in the instance of multiple agents under investigation) of dose levels, and the dose level to start at
9c Details regarding the statistical methodology underpinning the trial, including the choice of the number of parameters in the model if applicable, its empirical form and all formulas. Ensure that all model parameters are given, including the weights of the model, where appropriate
9d Rules of the trial design and model: information on the target objective (toxicity, response, pharmacodynamics, pharmacokinetics, either singularly or in combination), classification of overdosing, and any stopping boundaries should be given. This information can include the desired certainty in these estimates. Moreover, for dose decisions (eg, escalation, de-escalation, remain at current dose or stop early), details regarding dose transitions and dose skipping should be given
9e Experimental details and design specifics: for dose escalation trials, information regarding cohort size, including whether this is fixed or flexible should be given. Indication of the stopping rules for interim and final evaluations: for model based and model assisted designs, details of the prior including full skeleton (if applicable) and its elicitation should be given; for single arm phase II trials, the target sample size and, where appropriate, the timing of any interim analyses should be given
Randomisation 10 Include randomisation details (eg, whether any minimisation or stratification occurred (including stratifying factors used or the location of that information if it is not held within the SAP)) 10 Where appropriate, include randomisation details (eg, whether any minimisation or stratification occurred (including stratifying factors used or the location of that information if it is not held within the SAP)) and, where applicable, details on blinding.
Sample size 11 Full sample size calculation or reference to sample size calculation in protocol (instead of replication in SAP) 11 Full sample size determination or justification or reference to relevant section in protocol (instead of replication in SAP)
Framework 12 Superiority, equivalence, or non-inferiority hypothesis testing framework, including which comparisons will be presented on this basis 12 If applicable, specify whether trial is to be performed under hypothesis testing or bayesian framework
Statistical interim analyses and stopping guidance 13a Information on interim analyses specifying what interim analyses will be carried out and listing of time points 13a Information pertaining to interim dose decisions (eg, escalation, de-escalation, remain at current dose or stop early)
13b Any planned adjustment of the significance level due to interim analysis 13b Information on other interim analyses specifying what and when interim analyses will be conducted.
13c Details of guidelines for stopping the trial early 13c Any planned adjustment of the significance level due to interim analysis
13d Details of guidelines for stopping the trial early
Timing of final analysis 14 Timing of final analysis (eg, all outcomes analysed collectively or timing stratified by planned length of follow-up)
Timing of outcome assessments 15 Time points at which the outcomes are measured, including visit periods
Section 4: Statistical principles
Indications of uncertainty† 16 Level of statistical significance 16* Level of statistical significance
17 Description and rationale for any adjustment for multiplicity and, if so, detailing how the type 1 error is to be controlled 17 Description of any planned adjustment for multiplicity, and if so, including how the type 1 error is to be controlled
18 Confidence intervals to be reported 18 Either confidence or credible intervals to be reported (appropriately picked dependent on the trial methodology)
Adherence and protocol deviations 19a Definition of adherence to the intervention and how this is assessed including extent of exposure
19b Description of how adherence to the intervention will be presented
19c Definition of protocol deviations for the trial
19d Description of which protocol deviations will be summarised
Analysis populations 20 Definition of analysis populations (eg, intention to treat, per protocol, complete case, safety) 20 Clear definition of the trial or dose cohort(s) including how cohorts will be referred to, how patients enter cohorts, the minimum number of patients needed to be in a cohort (and how long they have been in) before dose escalation decisions can be made. Trial level definitions of patient populations (eg, per protocol, intention to treat, safety) should be given. Details regarding evaluable patients and specify what happens to unevaluable patients should also be made. These definitions should also be provided for any interim analysis populations
Section 5: Trial populations
Screening data 21 Reporting of screening data (if collected) to describe representativeness of trial sample
Eligibility 22 Summary of eligibility criteria
Recruitment 23 Information to be included in the CONSORT flow diagram
Withdrawal/follow-up 24a Level of withdrawal (eg, from intervention or from follow-up)
24b Timing of withdrawal/lost to follow-up data
24c Reasons and details of how withdrawal/lost to follow-up data will be presented
Baseline patient characteristics 25a List of baseline characteristics to be summarised 25a* List of baseline characteristics to be summarised
25b Details of how baseline characteristics will be descriptively summarised
Section 6: Analysis
Estimand definition (list and describe each primary and secondary outcome including details of each item)‡ 26a Specification of outcomes and timings. If applicable include the order of importance of primary or key secondary end points (eg, order in which they will be tested) 26a Details of the treatment (including treatment combinations), and any alternative treatments to which comparisons will be made (where appropriate). For dose finding trials, information on whether analysis will be performed per cohort, per dose received, pooled across all dose levels, or in some combination of these
26b Specific measurement and units (eg, glucose control, HbA1c (mmol/mol or %)) 26b The trial population, defined with reference to item 20, pertinent to each estimand
26c Any calculation or transformation used to derive the outcome (eg, change from baseline, quality-of-life score, time to event, logarithm) 26c The variable of interest to be obtained for each patient that is required to answer the scientific question. For outcomes recorded at multiple time points, distinction as to which of these time points are required for the estimand
26d Intercurrent events and their handling strategy, including adjustment to analysis
26e Detail the population level summary measure for each estimand
Analysis methods 27a What analysis method will be used and how the treatment effects will be presented 27a What estimator and analysis method will be used and how the results will be presented
27b Any adjustment for covariates 27b* Any adjustments for covariates
27c Methods used for assumptions to be checked for statistical methods 27c* Methods used to check assumptions of the underlying statistical methods and goodness of fit for the model
27d Details of alternative methods to be used if distributional assumptions do not hold (eg, normality, proportional hazards) 27d* Details of alternative methods to be used if distributional assumptions do not hold
27e Any planned sensitivity analyses for each outcome where applicable 27e Any planned sensitivity analyses for each estimand where applicable
27f Any planned subgroup analyses for each outcome including how subgroups are defined 27f Any planned subgroup analyses for each estimand including how subgroups are defined
Missing data 28 Reporting and assumptions or statistical methods to handle missing data (eg, multiple imputation) 28* Reporting and assumptions or statistical methods to handle missing data (eg, multiple imputation)
Additional analyses 29 Details of any additional statistical analyses required (eg, complier-average causal effect analysis)
Harms 30 Sufficient detail on summarising safety data (eg, information on severity, expectedness, and causality); details of how adverse events are coded or categorised; how adverse event data will be analysed (that is, grade 3/4 only, incidence case analysis, intervention emergent analysis) 30 Sufficient detail on summarising safety data outside of those used for dose escalation (eg, non-DLT safety data), such as information on severity, expectedness, and causality; details of how adverse events are coded or categorised; how adverse event data will be analysed (that is, by grade, incidence case analysis, intervention emergent analysis)
Statistical software 31 Details of statistical packages to be used to carry out analyses 31 Details of statistical packages to be used to carry out design, simulation, and analyses
References 32a References to be provided for non-standard statistical methods
32b Reference to data management plan
32c Reference to the trial master file and statistical master file
32d Reference to other standard operating procedures or documents to be adhered to
Section 7: Suggested SAP appendices
Simulation report 33 Operating characteristics of the trial design to assess the probability of trial success under different plausible scenarios
Dose transition pathways 34 For dose escalation trials, indication of the dose transition pathways (either using tables or trees/graphs) under different DLT scenarios
Code 35 Full model specification and programming code used for evaluation of dose escalation decisions
Reports template 36 Optional section detailing example tables, graphs, and report templates

Supplementary checklist 1 provides a printable version of the checklist. CONSORT=consolidated standards of reporting trial; CRM=continual reassessment method; DLT=dose limiting toxicity; HbA1c=glycated haemoglobin. Blank table cells in the right hand column indicate that the original item (in the left hand column) is appropriate and covers the necessary content for early phase trials, with examples for all items given in appendix 5.

*

Items for which the table description has remained the same, but the explanation, as detailed in appendix 5, has been amended.

This item was originally labelled as “Confidence intervals and P values” in the Gamble et al paper.1 It has been changed to “Indications of uncertainty” to reflect that many early phase trials designs are underpinned by bayesian methodology.

This item was originally labelled as “Outcome definitions” in the Gamble et al paper.1 It has been changed to “Estimand definition” following the wider adoption of the International Council for Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use’s E9 guidelines (ICH E9 R1; addendum on estimands and sensitivity analyses).