Clinical trial protocol checklist: medical writers reviewing protocol documentation against FDA, ICH, SPIRIT 2025, and M11 CeSHarP requirements
    Regulatory Writing

    Clinical Trial Protocol Checklist: What to Include, What Regulators Require, and Where Teams Fall Short

    "Complete clinical trial protocol checklist covering FDA 21 CFR 312.23, ICH E6(R3), SPIRIT 2025 and M11 CeSHarP; reduce amendments and improve readiness."

    Published by Kitsa Editorial Team
    ~18 min read
    Contents

    Seventy-six percent of Phase I through IV trials now require at least one protocol amendment, up from 57% in 2015, according to a 2024 analysis of 950 protocols by the Tufts Center for the Study of Drug Development [1]. Amendment drivers range widely: regulatory authority requests, evolving study strategy, and emerging safety signals account for a significant portion. But a meaningful share also traces back to design decisions left unresolved before the protocol was finalized, including imprecise eligibility criteria, underspecified endpoints, and assessment schedules that sites cannot operationally execute [1].

    A structured protocol checklist, applied during drafting and before IND submission, is one tool for catching those resolvable gaps early. This article covers what a complete clinical trial protocol must contain under current FDA and ICH requirements, how international standards like SPIRIT 2025 and ICH M11 CeSHarP structure these obligations, and where protocol teams most often leave gaps.

    Snapshot
    Why protocol checklists matter in 2026
    76%
    Phase I-IV trials requiring at least one protocol amendment [1]
    139%
    Increase in procedures per protocol since 2005 [2]
    214%
    Increase in endpoints since 2005 [2]
    600%
    Approximate increase in data points collected [2]
    5.96M
    Average Phase III data points collected per study [3]
    25-30%
    Total site and participant burden from non-core data [4]

    Why Protocol Completeness Matters More Than It Did a Decade Ago

    Protocol complexity has grown faster than many teams' protocol-review processes. Since 2005, the number of procedures per protocol has increased 139%, the number of endpoints has risen 214%, and data points collected have surged approximately 600%, according to IQVIA analysis drawing on Tufts CSDD benchmarking data [2]. Phase III protocols now average nearly 5.96 million data points collected per study, up from 930,000 in 2012 [3].

    More content does not equal better protocols. A 2025 study by Tufts CSDD and 14 TransCelerate member companies found that roughly one-third of procedures in clinical trial protocols do not directly support primary objectives or key secondary endpoints [4]. That non-core data accounted for 25 to 30 percent of total burden on sites and participants. In non-oncology trials, the figure reached 40% of patient-level data [4].

    The consequences run downstream across the entire study. Tufts CSDD data presented at the 2024 SCOPE Summit showed that from 2010 to 2020, substantial amendments rose 113.3% across the industry, enrollment duration extended by 36.9%, and protocol-approval-to-first-patient timelines lengthened by 27.2% [5]. Kenneth Getz, Executive Director of Tufts CSDD, observed that protocol complexity correlates directly with more deviations, more amendments, slower enrollment, and higher dropout rates [6].

    This is the context in which a protocol checklist operates. It is not an administrative convenience. It is a quality-by-design tool.

    The Regulatory Framework Behind Protocol Requirements

    FDA: 21 CFR Part 312

    In the United States, clinical trial protocols submitted as part of Investigational New Drug (IND) applications must satisfy the content requirements specified under 21 CFR 312.23(a)(6) [7]. The regulations are explicit that Phase 1 protocols may be less detailed than Phase 2 and Phase 3 protocols, but they must still include an estimate of the patient population, a description of safety exclusions, a dosing plan, and detailed specifications for any elements critical to participant safety, including monitoring of vital signs and blood chemistries [7].

    For Phase 2 and 3 studies, 21 CFR 312.23(a)(6)(iii) requires considerably more: a statement of objectives and purpose, a description of the study design (including control groups), the methods for minimizing bias, the procedures for participant selection and exclusion, a description of the observations to be made, a description of clinical procedures, laboratory tests, or other measures to monitor participants for safety, and a description of how data will be collected and managed [7].

    The FDA's guidance on Phase 1 IND content reinforces that even early-phase protocols must specify stopping rules, dose adjustment criteria, and toxicity-based monitoring requirements [8].

    ICH E6(R3): Good Clinical Practice

    ICH E6(R3), finalized by the ICH Assembly in December 2024 and published by FDA in September 2025 with the EMA adopting it for effect from July 23, 2025, introduces a quality-by-design framework intended to shape how protocols are constructed from the outset [9]. The guideline recommends that sponsors apply risk-proportionate thinking during protocol development, identifying factors critical to trial quality before the document is drafted rather than as a corrective exercise after problems emerge [9],[11].

    ICH E6(R3) explicitly recommends that the protocol and supporting documents, including the statistical analysis plan and data management plan, be clear, concise, and operationally feasible [10]. That language has direct implications for checklist practice. A protocol checklist aligned with E6(R3) does not simply verify that sections exist; it asks whether each element is written in a way that sites can actually execute.

    ICH M11 CeSHarP: The Digital Protocol Standard

    The ICH M11 Clinical Electronic Structured Harmonised Protocol (CeSHarP) template was adopted at Step 4 by the ICH Assembly in November 2025, with final Step 5 adoption by EMA/CHMP on December 11, 2025, and came into effect on June 11, 2026 [11]. FDA published the final M11 Template guidance in the Federal Register in May 2026 [12]. The template provides standardized content structure, formatting, common headers, and instructions for every section of an interventional clinical trial protocol. It is designed to work across all phases and therapeutic areas and includes both required and optional components [13].

    The significance of CeSHarP for protocol checklists is structural. Because M11 specifies where each element should appear within a harmonized document, a protocol authored against the CeSHarP template is organized in a way that regulatory reviewers at FDA, EMA, and other ICH-region agencies expect to navigate. Sponsors using the template know in advance which fields are mandatory and which are conditional on study type. M11 does not eliminate regional or submission-specific requirements; it provides a common structural and data-exchange foundation designed to reduce reformatting burden across authority submissions [13].

    SPIRIT 2025: Updated Academic and Industry Standard

    The SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2025 statement, published in Nature Medicine in April 2025 following a Delphi consensus process involving 317 individuals and 30 experts, updated the original 2013 guideline into a 34-item checklist for randomized trial protocols [14]. Notable additions include a new open science section, expanded requirements for harm assessment and description of interventions and comparators, and a new item on patient and public involvement in trial design and conduct [14].

    SPIRIT 2025 builds on the 2013 statement, which EQUATOR Network reported was endorsed by over 150 medical journals and widely recognized by national funders [15]. The 2025 update expanded the checklist to 34 items, adding open science, enhanced harm reporting, and patient and public involvement requirements. Growing expectations from journals, research ethics committees, and funders for pre-registered, transparent protocols make alignment with SPIRIT a practical consideration for sponsors preparing for publication.

    Diagram
    Four standards behind a complete protocol checklist
    1
    FDA 21 CFR 312.23
    Binding IND protocol content requirements
    2
    ICH E6(R3)
    Quality by design, risk-proportionate oversight, operational feasibility
    3
    ICH M11 CeSHarP
    Harmonized protocol structure and digital exchange format
    4
    SPIRIT 2025
    Transparent randomized trial protocol reporting checklist
    Output
    Clinical Trial Protocol Checklist
    Administrative content, rationale, endpoints, design, eligibility, safety, statistics, data management, monitoring, amendments, publication, and data sharing

    A protocol checklist is strongest when it combines regulatory requirements, reporting standards, and operational feasibility checks.

    The Protocol Checklist: Section by Section

    The following checklist consolidates obligations from 21 CFR 312.23, ICH E6(R3), ICH M11 CeSHarP, and SPIRIT 2025. Each section represents a functional area of the protocol, not merely a document heading.

    1. Administrative and Identification Information

    • Descriptive title identifying the study design, population, and interventions [14]
    • Protocol version number and date [14]
    • Trial registration identifier and registry name (ClinicalTrials.gov or equivalent WHO-recognized registry) [14]
    • Sponsor name and contact information [14]
    • Protocol contributor names, affiliations, and roles [14]
    • Funding sources and types of support [14]
    • Roles and responsibilities of sponsor, funder, steering committee, data management team, and endpoint adjudication committee if applicable [14]

    2. Background and Scientific Rationale

    • Summary of the condition under study, including prevalence, clinical burden, and existing treatment options
    • Summary of available preclinical and clinical evidence for the investigational product, including relevant pharmacology and toxicology data [7]
    • Justification for the study design, including the choice of control, endpoints, and comparator
    • Risk-benefit assessment at the time of protocol finalization, consistent with ICH E6(R3) quality-by-design principles [9]

    Failure to ground the rationale in current evidence is a common protocol weakness. Review committees, IRBs, and regulatory agencies will scrutinize whether the scientific justification supports the proposed risk to participants.

    3. Objectives and Endpoints

    • Primary objective, stated in terms that directly correspond to the primary endpoint
    • Primary endpoint, with a precise definition, measurement method, time point, and analysis population
    • Secondary objectives and secondary endpoints, each with the same level of precision as the primary
    • Exploratory or tertiary endpoints, if applicable, clearly labeled as such
    • Hierarchy of endpoints and pre-specified multiplicity adjustments for trials with multiple endpoints; ICH E9(R1) provides a framework for precisely aligning endpoint definitions with the estimand for each objective [16],[22]

    The ICH E9(R1) addendum on estimands and sensitivity analyses, adopted at Step 4 by the ICH Assembly in November 2019 and subsequently implemented by FDA and EMA [22], provides a framework for precisely defining the treatment effect to be estimated in a trial [16]. Protocols that leave endpoint definitions misaligned with their stated estimands create statistical analysis plan ambiguity that surfaces only after the protocol is locked.

    4. Study Design

    • Study phase (Phase 1, 2, 3, or 4)
    • Overall design description: randomized or non-randomized, controlled or uncontrolled, open-label or blinded, parallel or crossover, single-center or multicenter
    • Method of randomization: sequence generation, allocation concealment procedure, implementation [14]
    • Blinding arrangements: who is blinded, mechanism for maintaining the blind, conditions for unblinding, and unblinding procedures [14]
    • Adaptive elements, if applicable, with pre-specified decision rules and stopping criteria
    • Duration of participant involvement: screening window, treatment period, follow-up window, and total study duration

    5. Population: Eligibility Criteria

    • Inclusion criteria, written as concrete, operationally testable requirements
    • Exclusion criteria, with each criterion tied to a specific participant safety concern or scientific rationale
    • Criteria for early withdrawal or discontinuation from study treatment
    • Criteria for study discontinuation at the site or trial level

    Eligibility criteria are a leading driver of protocol amendments. Getz et al. 2024 identified changes to inclusion and exclusion criteria as a consistently common trigger for post-approval amendments [1]. Overly restrictive criteria slow enrollment; overly broad criteria may admit participants outside the intended population. Both problems become expensive after IND submission.

    6. Investigational Product and Study Treatments

    • Name, formulation, dose, dose route, and dosing schedule for each investigational product
    • Permitted and prohibited concomitant medications
    • Dose modification or interruption rules, tied to specific toxicity grades or clinical criteria
    • Storage, handling, and accountability procedures for the investigational product
    • Placebo description and manufacturing controls, if a placebo-controlled trial [7]
    • Provisions for investigational product supply to participants in decentralized elements, if applicable

    7. Study Procedures and Schedule of Assessments

    • Complete schedule of assessments in tabular format, with visit windows for each time point
    • Description of each assessment: what is measured, how it is measured, by whom, and under what conditions
    • Procedures for managing missed visits, delayed assessments, or out-of-window visits
    • Source data verification expectations for each assessment category

    This section requires operational scrutiny. Every assessment in the schedule of assessments adds to site and participant burden. Under ICH E6(R3) quality-by-design principles, sponsors should verify that each assessment directly supports a protocol objective or a safety monitoring requirement before it is included [9]. The TransCelerate/Tufts CSDD data found that nearly one-third of collected data does not serve this purpose [4].

    8. Statistical Considerations

    • Sample size calculation, including assumptions for effect size, variability, and power
    • Primary analysis method, specified in advance, with the analysis population (intent-to-treat, per-protocol, or modified intent-to-treat)
    • Pre-specified handling of missing data
    • Statistical analysis plan reference or summary, including planned sensitivity analyses
    • Interim analysis plans with decision rules and alpha-spending approach, if applicable
    • Stopping rules for efficacy, futility, or safety

    For Phase 2 and Phase 3 studies, 21 CFR 312.23(a)(6)(iii) requires that the protocol describe the observations to be made and provides the framework within which a statistical analysis plan should operate. The level of analytical detail required expands substantially for studies submitted in support of marketing applications, where the primary efficacy endpoint, analysis population, and handling of missing data must be pre-specified [7].

    9. Safety Monitoring and Reporting

    • Definition of adverse events (AEs), serious adverse events (SAEs), adverse events of special interest (AESIs), and suspected unexpected serious adverse reactions (SUSARs)
    • Reporting timelines for each category: FDA requires expedited reporting of unexpected serious adverse reactions within 7 or 15 calendar days depending on fatality or life-threatening status under 21 CFR 312.32 [17]
    • Site-level deviation reporting plan: who is notified, on what timeline, through what system
    • Data Safety Monitoring Board (DSMB) or Safety Review Committee charter, if applicable, including meeting frequency, access to unblinded data, and voting rules
    • Stopping rules for individual participants based on safety signals

    10. Ethical and Regulatory Compliance

    • IRB or IEC review process, consistent with 21 CFR Part 56
    • Informed consent process: how and when consent will be obtained, documentation requirements, re-consent triggers
    • Privacy and data protection provisions: HIPAA compliance (US), GDPR provisions (EU), or applicable national regulations
    • Trial registration obligations on ClinicalTrials.gov for applicable clinical trials under FDAAA 801 [23]; sponsors conducting trials under other jurisdictions should confirm registration requirements with the applicable WHO-recognized registry
    • Compliance with the Declaration of Helsinki ethical principles for medical research involving human participants [25]

    11. Amendments and Protocol Deviations

    • Definition of major and minor protocol deviations, with examples relevant to the specific study design
    • Deviation reporting timeline: study-specific deviation reporting windows vary by protocol; sponsors should define the expected notification timeline to the CRO or sponsor and require sites to notify the IRB/IEC per local regulatory requirements
    • Amendment process: criteria for substantive versus administrative amendments, IND amendment submission requirements under 21 CFR 312.30
    • Roles and responsibilities for deviation corrective action plans

    12. Data Management

    • Data collection methods: electronic data capture (EDC) system identification, paper backup procedures if applicable
    • Source data definition: what constitutes source data in the study, consistent with ICH E6(R3) principles [9]
    • Data cleaning and query resolution timelines
    • Audit trail requirements under 21 CFR Part 11 for electronic records [18]
    • Data transfer and archival requirements at study close

    13. Quality Assurance and Monitoring

    • Monitoring approach: on-site, remote, or risk-based monitoring per ICH E6(R3) [9]
    • Monitoring frequency and triggers for increased monitoring intensity
    • Quality control procedures at the site level
    • Audit procedures and sponsor's right to audit

    ICH E6(R3) specifically recommends that monitoring plans be proportionate to the risks identified in the risk assessment conducted during protocol development [9]. Sponsors who apply uniform monitoring intensity regardless of study risk profile may not be aligned with E6(R3) expectations and face greater regulatory scrutiny during inspections.

    14. Publication and Data Sharing

    • Authorship and publication policy
    • Plans for data sharing, where applicable (addressed under ICH E6(R3) transparency principles [9] and as a new open science item under SPIRIT 2025 [14])
    • Plans for registering results on ClinicalTrials.gov within 12 months of primary completion, per FDAAA 801 and 42 CFR 11.44 requirements for applicable clinical trials [23],[24]

    SPIRIT 2025 added an explicit open science section to the protocol checklist, reflecting growing funder and regulatory expectations for pre-registration, protocol publication, and results sharing [14].

    Regulatory and Documentation Considerations

    M11 CeSHarP and Electronic Protocol Submission

    The M11 CeSHarP Technical Specification, revised in March 2025 by the ICH Assembly and released for public comment by FDA in June 2025 [19], recommends an open, nonproprietary standard for electronic exchange of protocol content. This means the structured data fields within a protocol are intended to be machine-readable and interoperable across regulatory systems.

    Sponsors preparing for M11 adoption should verify that their protocol authoring tools can output protocol content tagged to the M11 data element schema. Protocols that exist only as PDFs or Word documents will require manual re-tagging to meet the technical specification. Early adoption of structured authoring, even in advance of enforcement, reduces the rework burden at the point of formal M11 adoption.

    Regulatory Language and Binding Status

    Protocols submitted to FDA as part of an IND are subject to binding regulatory requirements under 21 CFR Part 312. The ICH guidelines (E6(R3), M11, E9(R1)) function as guidance documents: they are not binding in the sense of statute or regulation, but FDA and EMA have both adopted them into their frameworks and generally expect alignment or documented scientific justification for departures [9]. In practice, deviation from ICH guidance without that justification creates regulatory risk.

    The SPIRIT checklist is neither a regulatory document nor a guidance document in the FDA sense. It is a reporting standard: the 2013 version was endorsed by over 150 medical journals and recognized by national funders [15], and SPIRIT 2025 builds on that foundation. For IND submissions, the governing requirements are those in 21 CFR Part 312. SPIRIT and M11 provide the structure that makes an IND protocol easier to review, harder to miss checklist items from, and better aligned with the expectations of multiple international regulatory authorities simultaneously.

    Common Protocol Checklist Gaps and Their Downstream Effects

    Certain omissions appear with regularity across amendments. The Getz et al. 2024 study analyzed 2,188 amendments across 950 protocols and found that design deficiencies and changes in eligibility criteria were consistently among the most common triggers [1].

    1
    Imprecise eligibility criteria

    Imprecise eligibility criteria create screening failures and, when caught after approval, require a formal amendment to broaden or narrow the population. Depending on the scope of the change and the IRB's jurisdiction, a substantive eligibility amendment may require full IRB re-review before sites can resume screening under the revised criteria.

    2
    Missing or underspecified stopping rules

    Missing or underspecified stopping rules for safety events leave Data Safety Monitoring Boards without clear decision criteria. Under 21 CFR 312.42, FDA may place a study on clinical hold when the IND lacks sufficient information to assess subject risk or, for Phase 2 and 3 studies, when the protocol is clearly deficient in design [26]. Inadequate safety monitoring or stopping-rule detail can contribute to that risk determination.

    3
    Underspecified assessment windows

    Underspecified assessment windows give sites insufficient guidance on what constitutes a protocol deviation for a missed or delayed visit. Tufts CSDD data and Getz's analysis show that mean deviations per pivotal trial have more than doubled over the past decade, a trend Getz directly attributes to protocols that do not anticipate the operational realities of site execution [6].

    4
    Statistical assumptions not matched to endpoint definitions

    Statistical assumptions not matched to endpoint definitions is a less-visible gap, but it creates problems when statisticians write the Statistical Analysis Plan after protocol finalization and find that the primary endpoint is defined differently in the statistical section than in the objectives section.

    5
    Data management provisions absent or generic

    Data management provisions absent or generic leave the EDC build undefined at protocol lock, requiring a separate data management plan that may conflict with the protocol's intended analysis structure.

    AI and Automation in Protocol Checklist Review

    AI-assisted protocol review is a genuine and growing capability, though its maturity varies considerably across applications. Generative AI tools can perform rapid checklist verification: cross-referencing regulatory requirement lists against protocol text, flagging missing sections, identifying inconsistencies between the endpoints section and the statistical analysis plan, or detecting eligibility criteria that conflict internally.

    What AI cannot reliably do, at least within current validated systems, is assess whether a protocol's scientific rationale is sound, whether the endpoint definitions are operationally feasible given the site population, or whether the risk-benefit balance is appropriate for the enrolled population. Those are clinical and scientific judgments that require human expert review.

    The SPIRIT-AI extension to the SPIRIT checklist, published in Nature Medicine in 2020 and since incorporated into ongoing reporting standard development, provides specific guidance for protocols involving AI interventions and addresses transparency requirements for AI-specific trial elements [20]. This matters for sponsors evaluating AI-driven diagnostics or therapeutic algorithms as investigational products.

    A practical AI application that adds operational value is cross-document consistency checking: verifying that eligibility criteria stated in the protocol match those entered in the EDC build and in the Informed Consent Form, or that endpoint definitions in the protocol are identical to those in the Statistical Analysis Plan. These consistency failures are common, costly to correct, and well within the scope of automated document review.

    Kitsa's KScribe platform is designed to support regulatory document generation across the protocol development lifecycle, helping teams produce internally consistent documents and reduce the manual burden of checklist compliance at the drafting stage. For teams managing multiple concurrent protocols across therapeutic areas, consistency across documents is a nontrivial operational problem.

    KScribe · Protocol Checklist and Regulatory Document Generation

    Clinical trial protocol checklists reduce risk only when they are applied across the full document ecosystem: protocol, ICF, SAP, monitoring plan, EDC build, and regulatory submissions. KScribe supports AI-powered regulatory document generation and cross-document consistency checking, helping sponsors and CROs identify missing sections, align protocol content with downstream documents, and reduce manual checklist burden during drafting.

    Explore KScribe

    Key Takeaways

    • A 2024 Tufts CSDD analysis found 76% of trials require at least one protocol amendment [1]; established Tufts CSDD benchmarking on amendment cost impact has estimated direct implementation costs in the range of $141,000 to $535,000 per amendment [21], though the exact figure varies by study phase, scope, and sponsor, and some amendment drivers can be reduced through earlier protocol review and structured quality-by-design work.
    • Protocol requirements under 21 CFR 312.23 differ meaningfully by phase: Phase 1 protocols require safety-focused outlines, while Phase 2 and 3 protocols must address endpoints, eligibility, statistical design, and monitoring in detail [7].
    • ICH E6(R3), finalized in December 2024 and published by FDA in September 2025, sets out expectations for sponsors to apply quality-by-design and risk-based thinking during protocol development rather than retrospectively [9].
    • ICH M11 CeSHarP, which came into effect on June 11, 2026, provides a harmonized digital template that supports consistent protocol structure and electronic data exchange across FDA, EMA, and other ICH-region regulators [12],[13].
    • SPIRIT 2025, published in Nature Medicine in April 2025, updated the minimum 33-item protocol checklist to 34 items, adding an open science section, expanded harm assessment requirements, and patient and public involvement provisions [14].
    • Approximately one-third of procedures in current Phase II and III protocols do not directly support primary or key secondary endpoints, creating unnecessary site and participant burden that can be identified and reduced during protocol design [4].
    • AI-assisted checklist review is useful for identifying missing sections and cross-document inconsistencies, but clinical and scientific judgment remains irreplaceable for evaluating protocol quality.

    FAQ

    What are the mandatory sections of a clinical trial protocol under FDA requirements?
    Under 21 CFR 312.23(a)(6), the FDA requires that Phase 2 and Phase 3 protocols include a statement of objectives, the study design (including control group and blinding approach), participant inclusion and exclusion criteria, the clinical observations and assessments to be made, laboratory tests or other measures for safety monitoring, and data collection and management methods [7]. Phase 1 protocols have narrower requirements focused on patient number estimates, safety exclusions, and dosing plans, but must still specify elements critical to participant safety.
    What is the difference between SPIRIT 2025 and ICH M11 CeSHarP?
    SPIRIT 2025 is a reporting guideline that specifies the minimum content items to address in any randomized trial protocol; it focuses on transparency and completeness, and builds on the 2013 SPIRIT statement that was endorsed by over 150 medical journals and widely adopted by national funders [14],[15]. ICH M11 CeSHarP is a harmonized template and technical specification developed by ICH regulators (FDA, EMA, and others) that defines the structure, format, and data elements for a digital, interoperable clinical trial protocol [11]. They serve complementary purposes: SPIRIT defines what to include; M11 defines how to structure and digitally format it.
    How can a protocol checklist reduce protocol amendments?
    A structured checklist applied before IND submission catches incomplete eligibility criteria, missing stopping rules, inconsistent endpoint definitions, and unstated statistical assumptions before the protocol reaches sites. The Tufts CSDD analysis in 2024 found that design deficiencies and eligibility criteria changes are among the most common drivers of costly amendments [1]. Addressing these during the drafting phase, rather than post-approval, avoids the regulatory, operational, and financial burden of a formal protocol amendment.
    What is the ICH E6(R3) quality-by-design requirement for protocols?
    ICH E6(R3) recommends that sponsors proactively identify factors critical to trial quality during protocol development and design proportionate controls around those factors [9]. For protocols, this means that every design element, including each eligibility criterion, endpoint, assessment, and monitoring procedure, should be justified against a risk assessment rather than included by convention. It also recommends that the protocol be operationally feasible, meaning sites should be able to execute it without systematic deviation.
    Does SPIRIT 2025 apply to all clinical trials?
    SPIRIT 2025 is written for randomized trials. The original SPIRIT 2013 statement was broader, applying to all clinical trials, but the 2025 update explicitly scopes itself to randomized designs [14]. Extensions of SPIRIT exist for specific contexts including patient-reported outcomes (SPIRIT-PRO), surrogate endpoints (SPIRIT-Surrogate), and AI interventions (SPIRIT-AI). For non-randomized interventional studies, SPIRIT 2013 and its non-randomized trial extensions remain the relevant framework.
    What protocol sections are most commonly incomplete at sites?
    Based on Tufts CSDD amendment data and site deviation trend reporting, protocol sections most commonly found to have operational gaps at sites include: visit window definitions, deviation classification criteria, criteria for early withdrawal from treatment, investigational product handling and accountability procedures, and procedures for managing out-of-window assessments [1],[6]. These are practical sections that directly govern day-to-day site operations and are often written at a higher level of generality than sites require.

    References

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