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Section-by-section guide for writing CIHR Project Grant applications, covering RCTs, AI/technology, observational studies, with scoring rubrics and templates. Use when drafting, reviewing, or scoring a CIHR grant application.

HeartWise-AI By HeartWise-AI schedule Updated 2/6/2026

name: cihr-grant-writing description: Section-by-section guide for writing CIHR Project Grant applications, covering RCTs, AI/technology, observational studies, with scoring rubrics and templates. Use when drafting, reviewing, or scoring a CIHR grant application.

CIHR Grant Writing Skill

Overview

A section-by-section guide for writing CIHR Project Grant applications, modeled on the structure of the PANTHEON SLIM (Randomized Controlled Trial) grant and cross-referenced with the CardioAgent (AI/Technology) grant. This skill is generalizable across clinical trials, observational studies, AI/technology development, and other health research study designs.

Each section includes: Requirements (what must be present), Expectations (what reviewers look for), Scoring Rubric (weighted scoring criteria), and Templates (fill-in-the-blank scaffolds).

For CIHR-specific language tips, study type adaptations, and common reviewer critiques, see the appendices.

SECTION 1: The Need for a Trial / Study

Weight: 25/100

This section must build the case that your study addresses a critical, unmet need. It follows a hierarchical argument structure.


1.1 What is the problem to be addressed?

Weight: 5/25

Requirements

  • State the clinical/scientific problem in 2-3 sentences maximum
  • Define the specific patient population or target group
  • Identify what is currently unknown or what practice gap exists
  • State why current evidence is insufficient (e.g., "no RCT has addressed...", "current AI tools lack...")
  • Use underline/bold formatting to emphasize the key population and the key gap

Expectations

  • The problem statement should be immediately understandable to a non-specialist reviewer
  • Frame as a patient-centered or health-system problem, not just a scientific curiosity
  • Quantify the problem where possible (mortality rates, error rates, prevalence)
  • Explicitly state the knowledge gap that this study will fill

Template

The problem to be addressed is that [specific clinical/scientific gap] in [target population] is unknown/unresolved. [Current approach or standard of care] represents [limitation], but [it has only been studied in X / no evidence supports Y / current tools cannot Z]. [Quantify the consequence of not addressing this gap].

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Clarity of problem 2/5 Immediately clear, specific, and compelling Understandable but somewhat vague Confusing or overly broad
Evidence of gap 2/5 Systematic review or guideline gap cited; no existing RCT/study identified Literature cited but gap not well-defined No evidence that gap exists
Patient/population focus 1/5 Specific population clearly defined with prevalence data Population mentioned but not well-characterized No clear target population

1.2 What are the principal research questions to be addressed?

Weight: 5/25

Requirements

  • State the overarching objective in one sentence (use the study acronym if applicable)
  • State the central hypothesis clearly
  • Define the primary objective with a feasibility/success threshold (for pilot) or primary endpoint (for phase III)
  • List secondary objectives (numbered, 2-4 items)
  • List exploratory objectives (numbered, 2-5 items)
  • For each objective level (primary/secondary/exploratory), state whether results will be evaluated by sex and gender subgroups
  • For pilot/feasibility studies: primary objective MUST be operational (e.g., recruitment rate), not clinical

Expectations

  • Objectives must follow a clear hierarchy: Primary > Secondary > Exploratory
  • The primary objective must be answerable with the proposed design and sample size
  • For pilot studies: clinical outcomes are exploratory only (state this explicitly)
  • Sex and gender analysis commitment should be present at every objective level
  • Use CIHR-specific language: "patient-oriented," "sex and gender-based analysis (SGBA+)"

Template

Overarching objective: The overarching objective of the "[STUDY ACRONYM]" [study type] is to [determine/evaluate/develop] [intervention/technology] [in what population] [to achieve what].

Central hypothesis: We hypothesize that [intervention/approach] will [expected effect] compared with [comparator] in [population].

Primary objective: To [specific measurable objective]. Success threshold: [define].

Secondary objectives: i. To [objective 1]; ii. To [objective 2].

Exploratory objectives: i. To [objective 1]; ii. To [objective 2]; iii. To [objective 3].

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Hypothesis clarity 2/5 Testable, specific, directional hypothesis with clear comparator Hypothesis present but vague No hypothesis or untestable statement
Objective hierarchy 2/5 Clear primary with feasible threshold; logical secondary and exploratory Objectives present but hierarchy unclear Objectives conflated or missing levels
SGBA+ integration 1/5 Sex/gender analysis specified at each objective level Mentioned but not integrated into objectives Absent

1.3 Why is a trial/study needed now?

Weight: 10/25

This is the most critical subsection of the entire "Need" section. It builds the scientific rationale through a logical chain of evidence. Use numbered subsections (1.3.1, 1.3.2, etc.).

Requirements

  • 1.3.1 Burden of disease/problem: Canadian and global epidemiological data with citations
  • 1.3.2 Current standard of care/approach: What is currently done and why it works (partially)
  • 1.3.3 Limitations of current approach: Why the standard of care is insufficient (quantify risks, error rates, costs)
  • 1.3.4 Emerging evidence for the proposed approach: What new evidence suggests a better strategy exists
  • 1.3.5 Evidence gap in the target population: Demonstrate that the proposed approach has NOT been studied in your specific population (cite systematic review or guideline gap)
  • 1.3.6 Specific technical/clinical gap: Address any unique safety or feasibility concerns
  • 1.3.7 Sex and gender representation gap: Demonstrate that prior studies lacked adequate sex/gender representation and analysis
  • Use bold/underline for the key concluding statement of the evidence gap
  • Include at least one citation from your own team's prior work in this field

Expectations

  • Build the argument like a legal brief: each subsection leads logically to the next
  • Use Canadian data prominently (CIHR is a Canadian funder) or primarily
  • Demonstrate clinical equipoise with real-world data (e.g., practice variation showing disagreement)
  • The final statement should be a bold, underlined, definitive assertion of the knowledge gap
  • Reference your own prior work to show you are the right team to address this gap
  • For AI/technology studies: address current limitations of existing AI approaches and why yours is different

Template for Key Concluding Statement

There is thus an important knowledge gap to support the use of [proposed approach] in [target population], despite the fact that this population represents [quantify the size/importance of the population].

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Burden of disease (Canadian context) 2/10 Canadian-specific epidemiology with recent data and economic impact Some Canadian data but incomplete No Canadian data or only global
Logical argument chain 3/10 Each subsection flows naturally to the next; unavoidable conclusion Generally logical but some jumps Disjointed; conclusion not supported
Evidence of gap 3/10 Systematic review or guideline development process cited showing no existing evidence Literature review shows gap but not systematic Assertion without evidence
Own prior work cited 1/10 Multiple relevant team publications integrated into rationale One team publication mentioned No team publications cited
Sex/gender gap identified 1/10 Specific data on under-representation with quantification General statement about sex/gender gaps Not mentioned

1.4 How will the results of this trial/study be used?

Weight: 3/25

Requirements

  • For pilot studies: state that results will inform the design of a phase III confirmatory study
  • For confirmatory studies: state that results will influence clinical guidelines
  • Describe the dissemination plan: conferences, journals, social media, public engagement
  • State whether the study could transition to the next phase seamlessly (adaptive design)
  • Explain why CIHR funding is required (e.g., no industry interest due to generic drugs / public health focus)
  • Name the specific guideline body or clinical practice that would be impacted

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Impact pathway 2/3 Clear pipeline from pilot to phase III to guidelines with named bodies General pathway described Vague impact statement
Dissemination plan 1/3 Multiple channels: conferences, journals, media, patient engagement Basic plan (journal + conference) No plan

1.5 Are there any risks to the safety of participants?

Weight: 2/25

Requirements

  • State the risk profile of the intervention explicitly
  • For de-escalation studies: emphasize that no NEW risks are expected
  • For technology studies: address privacy, data security, and potential for misdiagnosis
  • Acknowledge theoretical risks and cite evidence that these have NOT been observed in comparable populations
  • Describe monitoring mechanisms (DSMB, adverse event reporting)

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Risk characterization 1/2 Comprehensive, evidence-based risk assessment with mitigation Risks mentioned with some mitigation Risks not addressed or dismissed
Safety monitoring 1/2 DSMB, adverse event protocol, stopping rules defined Some monitoring described No safety monitoring plan

SECTION 2: The Proposed Trial / Study Design

Weight: 40/100

This section covers all methodological details. Each subsection maps to a specific CIHR review criterion.


2.1 What is the proposed trial/study design?

Weight: 5/40

Requirements

  • State the study design using standard terminology (e.g., "pilot, multi-center, double-blinded, pragmatic, patient-centered RCT")
  • State whether it is a pilot/feasibility study or a confirmatory study
  • If pragmatic: reference PRECIS-2 tool and justify pragmatic elements
  • Describe patient engagement strategy: patient partners on steering committee, co-development of protocol
  • For AI/technology: describe the validation framework (retrospective + prospective phases)
  • Include a study flowchart figure

Template

The proposed [study] is a [phase], [number of sites]-center, [blinding], [pragmatic/explanatory], and [patient-centered] [study type] designed to [primary purpose]. [Population] will be eligible. [Brief description of randomization/allocation]. The [pragmatic/explanatory] design ensures that [justification].

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Design appropriateness 2/5 Design perfectly matches research question; standard terminology used Appropriate design but not fully justified Design-question mismatch
Patient engagement 2/5 Named patient partner on steering committee; co-developed protocol; EDI principles Patient input mentioned but not structured No patient engagement
Study flowchart 1/5 Clear, comprehensive flowchart with all study phases and timelines Flowchart present but incomplete No flowchart

2.2 What are the planned trial interventions?

Weight: 4/40

Requirements

  • Describe the experimental intervention with dose/frequency/route/duration
  • Describe the control intervention with the same level of detail
  • Justify the choice of comparator with evidence and guideline references
  • Address regulatory requirements (e.g., Health Canada Clinical Trial Application)
  • Describe management of participants on prior therapies (switching protocols)
  • State that all other treatments follow standard of care (pragmatic principle)
  • Describe post-study care plan

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Intervention clarity 2/4 Fully specified with dose, route, frequency, duration for both arms Mostly specified but some gaps Vague intervention description
Comparator justification 1/4 Evidence-based with guideline reference; addresses evidence gaps in comparator choice Some justification No justification for comparator
Regulatory and practical 1/4 Regulatory pathway identified; switching protocols; post-study care Some practical issues addressed Regulatory/practical issues ignored

2.3 Allocation to trial groups

Weight: 2/40

Requirements

  • State allocation ratio (e.g., 1:1)
  • State stratification variables with justification (cite validation of stratification tool)
  • State block sizes
  • Name the randomization platform/system
  • For non-RCT designs: describe sampling or allocation strategy

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Randomization rigor 2/2 Validated stratification tool cited; appropriate block sizes; named platform Randomization described but not fully detailed No randomization details

2.4 Methods for protecting against sources of bias

Weight: 2/40

Requirements

  • Describe blinding strategy (who is blinded: participants, investigators, outcome assessors)
  • Describe allocation concealment method
  • For AI studies: describe blinding of human evaluators to AI outputs
  • Address potential sources of bias specific to your design

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Bias protection 2/2 Double-blind with allocation concealment; all bias sources addressed Single-blind or partial concealment Open-label without justification

2.5 Inclusion/exclusion criteria

Weight: 3/40

Requirements

  • List inclusion criteria as bullet points
  • List exclusion criteria as bullet points
  • For pragmatic trials: explicitly state that few exclusion criteria are used to maximize generalizability
  • Justify any exclusion criterion that removes a specific subpopulation
  • Describe screening log data collection: baseline characteristics, sex, gender, race, ethnicity, reasons for exclusion
  • Address EDI: describe strategies to include underrepresented populations (e.g., Indigenous communities)
  • For heterogeneous populations: acknowledge heterogeneity and state how subgroups will be characterized

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Criteria appropriateness 1/3 Pragmatic criteria maximizing generalizability; each exclusion justified Reasonable criteria but some unjustified exclusions Overly restrictive or unjustified
EDI integration 1/3 Named strategies for diverse recruitment; screening log captures demographics EDI mentioned but no concrete strategy No EDI consideration
Population characterization 1/3 Heterogeneity acknowledged; subgroup plan described Some acknowledgment Assumed homogeneity

2.6-2.7 Treatment duration and follow-up

Weight: 2/40

Requirements

  • State treatment duration with start and end points
  • State follow-up visit schedule with specific time points
  • State visit modalities (in-person, telephone, video)
  • State total study duration (recruitment + follow-up)
  • State recruitment period duration

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Timeline completeness 2/2 All durations specified; flexible visit modalities; realistic timeline Mostly specified Incomplete or unrealistic

2.8 Primary and secondary outcome measures

Weight: 6/40

Requirements

  • Primary outcome: State with exact definition, measurement method, and success threshold
  • Secondary outcomes: List each with definition (numbered, 2-5 items)
  • Exploratory outcomes: List each with definition (numbered, 3-6 items)
  • For pilot studies: primary outcome MUST be feasibility-related (recruitment rate, adherence, etc.)
  • For clinical trials: use standardized endpoint definitions (e.g., Academic Research Consortium, BARC bleeding)
  • For AI studies: define accuracy metrics (AUROC, F1, sensitivity, specificity) and reference standards
  • Include patient-oriented outcomes
  • For novel endpoints: describe the development methodology (e.g., discrete-choice experiment)

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Primary outcome definition 2/6 Precisely defined with validated measurement method and threshold Defined but threshold unclear Vague or inappropriate primary outcome
Outcome hierarchy 2/6 Clear primary/secondary/exploratory with appropriate scope at each level Hierarchy present but some misclassification No hierarchy or outcomes conflated
Standardized definitions 1/6 All endpoints use published consensus definitions with citations Most endpoints standardized Custom definitions without justification
Patient-oriented outcomes 1/6 Named patient-oriented outcomes with development methodology Patient outcomes mentioned No patient-oriented outcomes

2.9 How will outcomes be measured at follow-up?

Weight: 2/40

Requirements

  • State the data source for each outcome category (screening logs, medical charts, self-report, imaging)
  • State whether endpoints will be adjudicated (and by whom) or not adjudicated (justify for pilot)
  • Describe adverse event and serious adverse event monitoring
  • For AI studies: describe the reference standard / ground truth generation process (e.g., central reader model)

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Measurement rigor 2/2 Each outcome has specified data source; adjudication plan clear; AE monitoring Mostly specified Measurement methods unclear

2.10 Sample size justification

Weight: 4/40

Requirements

  • For pilot/feasibility studies: state explicitly that formal sample size calculation is not applicable; provide expected enrollment range based on recruitment assumptions
  • For confirmatory studies: provide full power calculation with alpha, beta, effect size, and assumptions
  • State the basis for effect size assumptions (prior studies, pilot data, clinical significance)
  • Address multiple comparisons if applicable
  • For AI studies: justify the number of cases for training/validation/testing; describe stratified sampling for rare conditions

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Sample size appropriateness 2/4 Fully justified with transparent assumptions; sensitivity analyses Calculation present but assumptions not fully justified No calculation or unrealistic assumptions
Effect size basis 2/4 Based on own pilot data or meta-analysis of comparable studies Based on literature but indirect evidence Arbitrary or unjustified effect size

2.11-2.14 Practical considerations

Weight: 4/40

Covers: health service research issues, recruitment, compliance, and loss to follow-up.

Requirements

  • Recruitment: State expected rate per site per month with evidence; describe recruitment process; state total expected enrollment
  • Compliance: Describe adherence monitoring strategy; cite expected adherence/discontinuation rates from prior trials; describe patient-partner involvement in adherence strategies
  • Loss to follow-up: State expected rate with evidence; describe retention strategies; commit to identifying barriers
  • For all three: state that sex/gender disparities will be monitored and mitigated

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Recruitment feasibility 2/4 Evidence-based rate; named sites with capacity; prior recruitment experience Rate stated but evidence weak No evidence of feasibility
Adherence/retention plan 2/4 Proactive monitoring with iterative strategies; patient partner involvement; sex/gender analysis Basic plan No plan

2.15 Number of centers

Weight: 1/40

Requirements

  • List all centers with site PI name and role
  • Include geographic diversity (for Canadian multi-center: multiple provinces)
  • Reference letters of support from each site
  • For international sites: describe regulatory coordination plan

2.16-2.18 Analysis plan

Weight: 5/40

Requirements

  • Type of analyses: For pilot: explicitly state "most analyses will be descriptive"; for confirmatory: state primary statistical test
  • Describe analysis for each outcome level (primary, secondary, exploratory)
  • State whether intention-to-treat or per-protocol analysis (or both)
  • Frequency of analyses: State whether interim analyses are planned; describe DSMB access to data
  • Subgroup analyses: List pre-specified subgroups (sex, gender, site, risk score); state whether interaction testing will be performed
  • For AI studies: describe performance metrics, calibration, and fairness analyses across demographic subgroups

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Statistical rigor 3/5 Appropriate methods for each outcome; multiple comparison handling; ITT specified Generally appropriate but some gaps Inappropriate methods or no plan
Subgroup/SGBA+ 2/5 Pre-specified sex/gender subgroups at all objective levels; fairness metrics for AI Some subgroup analysis planned No subgroup analysis

2.19 Prior pilot work / Preliminary data

Weight: 2/40

Requirements

  • Describe all preliminary studies that inform this proposal (surveys, observational studies, pilot data)
  • For each: state IRB status, funding source, and how results will inform the current study
  • Demonstrate that these studies were conducted independently (no overlapping funds)
  • For AI studies: present preliminary performance data in table format (model comparison)
  • State how the totality of the preliminary program will inform the proposed study

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Preliminary evidence 2/2 Multiple complementary preliminary studies with IRB approval; results directly inform design Some pilot work described No preliminary work

SECTION 3: Trial / Study Management

Weight: 15/100


3.1 Day-to-day management arrangements

Weight: 5/15

Requirements

  • Name the coordinating center / academic research organization (with experience record)
  • Describe: contract management, site coordination, electronic case report forms, database management, data governance, medical monitoring, regulatory submissions, statistical analysis, DSMB coordination
  • Describe monitoring plan (in-person vs. remote; frequency)
  • Describe data security: source document storage, de-identification, platform name
  • For AI studies: describe data pipeline, model deployment infrastructure, and privacy architecture (on-premises, VPC)

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Operational infrastructure 3/5 Named CRO/coordinating center with track record; all operational elements addressed Most elements described Vague or no operational plan
Data management and security 2/5 Named platform; de-identification protocol; monitoring plan Basic data management described No data management plan

3.2 Role of each principal applicant and co-applicant

Weight: 5/15

Requirements

  • For each team member: Name, degree, role (NPA/PA/Co-A), career stage, institution, specific contribution
  • Nominated Principal Applicant: must be "ultimately responsible for all aspects"
  • Describe the executive committee composition
  • Show complementary expertise across team (clinical, methodological, statistical, patient engagement, regulatory, EDI)
  • For multi-center: identify site PIs
  • Reference letters of support

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Team completeness 3/5 All necessary expertise covered; each member has defined role; no redundancy Most expertise covered Key expertise gaps
Leadership clarity 2/5 NPA clearly responsible; executive committee defined; mentorship relationships explicit Leadership structure unclear No governance structure

3.3 Steering committee and DSMB

Weight: 5/15

Requirements

NOTE: This may be optional depending on the study type.

  • Steering committee: List composition (executive committee + site PIs + patient partner)
  • DSMB: State coordinating body; meeting frequency; charter development; composition (clinician chair + statistician minimum)
  • For pilot studies: state that DSMB will NOT terminate for efficacy/futility but MAY terminate for safety
  • For confirmatory studies: define stopping rules (efficacy, futility, safety)

Scoring Rubric

Criterion Weight 5 (Excellent) 3 (Good) 1 (Weak)
Governance structure 3/5 Complete steering committee with patient partner; DSMB with charter and stopping rules Basic governance described No governance structure
Safety monitoring 2/5 DSMB with appropriate scope for study phase; regular meetings Some safety monitoring No safety monitoring plan

SECTION 4: General Considerations (Cross-Cutting Themes)

Weight: 10/100

These themes must be woven throughout the proposal but are often evaluated as a standalone criterion.


4.1 Sex, Gender, and Equity (SGBA+)

Weight: 4/10

Requirements

  • Define how sex and gender will be collected (female/male/other for sex; woman/man/X gender/other for gender)
  • Commit to sex- and gender-stratified analyses at each objective level
  • Collect gender-specific and sex-specific non-traditional risk factors
  • Address historical under-representation of women/gender minorities in your field
  • Describe mitigation strategies if disparities are observed
  • For AI studies: describe fairness monitoring across demographic subgroups (demographic parity, equalized odds)
  • State sampling strategies to achieve sex balance (e.g., "approximately 50% women")

4.2 Patient Engagement

Weight: 3/10

Requirements

  • Name the patient partner(s) on the steering committee
  • Describe their specific contributions (protocol co-development, recruitment strategies, adherence strategies, knowledge mobilization)
  • Reference EDI framework used (e.g., CEPPP Learning Together Evaluation Framework)
  • Describe patient-oriented outcome development (if applicable)
  • Include letter of collaboration from patient engagement center

4.3 Knowledge Translation and Dissemination

Weight: 3/10

Requirements

  • Describe publication plan: target journal tier, conference presentations
  • Describe public engagement: social media, mainstream media, patient communities
  • For AI studies: describe open-source release plans and platform accessibility
  • State how results will be incorporated into clinical guidelines (name the guideline body)
  • Describe regulatory pathway if applicable (Health Canada SaMD, Clinical Trial Application)

Overall Scoring Summary

Section Weight Key Question
0. Summary of Progress 10/100 Is this investigator the right person to do this work?
1. The Need 25/100 Is this an important, unanswered question?
2. The Proposed Study 40/100 Is the methodology rigorous and feasible?
3. Trial Management 15/100 Can this team execute this study?
4. General Considerations 10/100 Does this study address equity, patient engagement, and impact?
TOTAL 100/100

Score Interpretation

  • 90-100: Fundable as-is. Minor revisions only.
  • 75-89: Competitive. Address reviewer concerns in specific sections.
  • 60-74: Needs significant revision. Major gaps in 1-2 sections.
  • Below 60: Fundamental redesign needed.
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