Inclusion Criteria
Reviewed bySatya R Panigrahi
Definition
Inclusion criteria are the predefined characteristics that a study participant, data source, or published study must possess to be eligible for enrollment in a research study or for selection in a systematic review. They are specified in the study protocol before data collection begins to ensure that the selection process is consistent, transparent, and reproducible.[1]
Explore the concept
Does this study get in?
Check six candidate studies against a CBT for insomnia review's criteria, compare a vague criterion with an operational one, and see what narrow or broad trial criteria do to a sample.
Candidate study
Study A
RCT, adults with DSM 5 insomnia
Six individual CBT sessions vs waitlist; sleep efficiency measured with a validated instrument.
Inclusion criteria
6 of 6- Randomized controlled trial: met
- Adults aged 18 or older: met
- Insomnia diagnosed by DSM 5 or ICSD 3: met
- At least four CBT sessions: met
- Any comparator: metWaitlist, sleep hygiene education or pharmacotherapy.
- Validated sleep outcome: metSleep onset latency, wake after sleep onset or sleep efficiency.
Include: it meets every criterion
The big idea: Inclusion criteria are the characteristics a participant or study must have to be eligible, set in the protocol before data collection. Written operationally and applied by independent screeners, they make selection consistent and reproducible, and their breadth decides to whom the findings apply.
The review criteria are the article's CBT for insomnia example (RCTs, adults 18 or older, DSM 5 or ICSD 3 diagnosis, at least four individual or group CBT sessions, any comparator, validated sleep outcomes; self reported sleep difficulty without a diagnosis excluded). Studies A to F and the broad and narrow trial criteria are illustrative. The HbA1c above 7.5% threshold is the article's example of a clinical criterion.
Why it matters
Inclusion criteria directly determine who enters the study and, consequently, the population to which findings can be generalized. In clinical trials, overly narrow criteria may yield a homogeneous sample that produces clean results but cannot be applied to the diverse patients seen in routine practice. Overly broad criteria may introduce excessive variability that obscures treatment effects. In systematic reviews, inclusion criteria define the scope of the evidence base and set out which studies are relevant to the review question.[1] Poorly specified criteria lead to inconsistent screening decisions, irreproducible reviews, and challenges during peer review.
How it works
Inclusion criteria are established during the protocol development phase and documented in the study registration (such as ClinicalTrials.gov or PROSPERO) or protocol paper. For systematic reviews, inclusion criteria typically follow the PICO framework, specifying the acceptable population characteristics, intervention types, comparators, outcomes, and study designs.[1] Some reviews add additional elements such as setting, time frame, or language restrictions.
For clinical trials, inclusion criteria define the demographic, clinical, and procedural requirements that participants must meet. Examples include age range, confirmed diagnosis using a specified set of criteria, minimum or maximum values for a clinical parameter (such as HbA1c above 7.5%), willingness to provide informed consent, and ability to attend follow up visits. Each criterion should have a clear rationale linked to the study's objectives, safety considerations, or regulatory requirements. When the trial is reported, CONSORT 2025 asks for the eligibility criteria for participants to be stated (item 12a).[2]
In systematic reviews, screening against inclusion criteria is typically performed in two stages. Title and abstract screening eliminates clearly irrelevant records, and full text screening assesses the remaining records against each criterion. Best practice calls for two independent reviewers to screen records, with disagreements resolved through discussion or by a third reviewer.[1] Documenting the reasons for exclusion at the full text stage and reporting them in the flow diagram, as PRISMA 2020 asks, makes the selection process transparent.[3]
When to use it
Define inclusion criteria at the protocol stage of any research study or systematic review. They should be specific enough to create a coherent study population but not so narrow that they exclude clinically relevant subgroups or make recruitment infeasible. Pilot testing the criteria on a sample of records (in reviews) or potential participants (in trials) helps identify ambiguities before the study begins. Revisiting inclusion criteria after data collection has started is discouraged because it introduces the risk of bias, though protocol amendments with documented justification are sometimes necessary.
Key takeaways
- Inclusion criteria directly determine who enters the study and, consequently, the population to which findings can be generalized.
- Inclusion criteria are established during the protocol development phase and documented in the study registration (such as ClinicalTrials.gov or PROSPERO) or protocol paper.
- Define inclusion criteria at the protocol stage of any research study or systematic review.
- One common error is defining criteria that are vague or open to interpretation, such as "patients with significant comorbidities" without specifying which comorbidities or how they are measured.
Common mistakes
- One common error is defining criteria that are vague or open to interpretation, such as "patients with significant comorbidities" without specifying which comorbidities or how they are measured. This leads to inconsistent application across screeners or sites.
- Another mistake is setting criteria so restrictive that the study population does not represent the broader patient group, limiting generalizability. In systematic reviews, a frequent error is applying inclusion criteria inconsistently between reviewers due to inadequate training or unclear operational definitions. Some review teams also fail to prespecify all criteria in the protocol, adding criteria after seeing the search results, which introduces a risk of bias in which studies are selected.[1]
Example
A systematic review of cognitive behavioral therapy for insomnia specifies the following inclusion criteria: randomized controlled trials enrolling adults aged 18 or older with a clinical diagnosis of insomnia according to DSM 5 or ICSD 3 criteria; interventions consisting of at least four sessions of individual or group cognitive behavioral therapy; any comparator including waitlist, sleep hygiene education, or pharmacotherapy; and primary outcomes including sleep onset latency, wake after sleep onset, or sleep efficiency measured by validated instruments. Studies of self reported sleep difficulty without a formal clinical diagnosis are excluded.
Test your understanding
5 questions that adapt as you go: answer two in a row correctly and they get harder.
Question 1 of 5
Scenario:
A trial enrolls any adult with any diabetes diagnosis, including people whose blood sugar is already well controlled. The new medicine shows no clear effect.
Question:
What does the article warn could explain this?
Hardness: Interpret
Sources
- [1]Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al, editors. Cochrane Handbook for Systematic Reviews of Interventions, version 6.5 (updated August 2024). Cochrane, 2024. https://training.cochrane.org/handbook/current
- [2]Hopewell S, Chan AW, Collins GS, Hróbjartsson A, Moher D, Schulz KF, et al. CONSORT 2025 statement: updated guideline for reporting randomised trials. BMJ. 2025;389:e081123. doi:10.1136/bmj-2024-081123
- [3]Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi:10.1136/bmj.n71
Cite this term
Paperguide. (2026, October 15). Inclusion Criteria. In Paperguide Research Glossary. https://paperguide.ai/research-glossary/inclusion-criteria/(Paperguide, 2026)