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Top 10 Best Clinical Research Staffing Services of 2026

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Top 10 Best Clinical Research Staffing Services of 2026

Compare clinical research staffing providers and typical engagement models for trial teams, highlighting tradeoffs to support vendor shortlisting.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

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Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Clinical research staffing firms place site-facing and study-support roles such as CRAs, CPMs, biostatistics, and functional service resources that affect protocol execution, recruitment throughput, and regulatory readiness. This comparison helps sponsors, biotech operators, and CRO leaders weigh staffing model fit, country coverage, and integration of trial operations with resourcing for programs that require consistent documentation and audit-ready work practices.

Randstad is the best pick for sponsors needing fast, continuous clinical staffing across multiple sites because its recruiter-led matching stays tied to study timelines and plans clean replacements, while Planet Pharma is a strong alternative for mid-size teams that want day-to-day clinical operations coverage with direct sponsor oversight.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Randstad

Recruiter-led role matching tied to study timelines and monitoring readiness, with continuity planning for replacements.

Best for: Fits when sponsors need fast clinical staffing continuity across sites with strong human-led coordination.

2

IQVIA

Editor pick

Phase-aligned staffing orchestration that keeps clinical operations and safety workflows synchronized across trial milestones.

Best for: Fits when sponsors need staffed execution coverage across start-up, monitoring, and safety operations with strict oversight.

3

Hays

Editor pick

Role-based candidate qualification and recruiter handoffs that maintain sponsor oversight during scaling.

Best for: Fits when sponsors need repeatable staffing coverage across multiple clinical roles and study waves.

Comparison Table

1
RandstadBest overall
enterprise_vendor
9.4/10
Overall
2
enterprise_vendor
8.9/10
Overall
3
enterprise_vendor
8.6/10
Overall
4
enterprise_vendor
8.3/10
Overall
5
enterprise_vendor
8.1/10
Overall
6
7.7/10
Overall
7
specialist
7.5/10
Overall
8
specialist
7.2/10
Overall
9
specialist
6.8/10
Overall
10
6.7/10
Overall
#1

Randstad

enterprise_vendor

Global staffing and recruitment firm offering life sciences and clinical research staffing services.

9.4/10
Overall
Features9.4/10
Ease of Use9.5/10
Value9.3/10
Standout feature

Recruiter-led role matching tied to study timelines and monitoring readiness, with continuity planning for replacements.

Randstad supports clinical research delivery roles such as clinical research associates, clinical trial coordinators, and clinical data management staff through structured candidate intake and role matching. The strongest fit shows up when sponsors need predictable throughput for interview scheduling, onboarding coordination, and staffing continuity across multiple sites or phases. Engagement quality tends to be higher when role requirements are explicit, including site footprint, travel expectations, and preferred experience level with protocol and monitoring workflows.

A tradeoff appears when sponsors want deep automation or direct API-driven provisioning of individuals and assignment records, since Randstad’s core delivery centers on people-led staffing processes rather than software-first orchestration. Randstad works well for usage scenarios where staffing demand changes during enrollment or site ramp-up, because replacements and coverage planning are handled through staffing operations instead of self-serve workflows. This model is also practical when governance controls are mainly managed through sponsor oversight meetings and contractual role descriptions rather than fine-grained system access controls.

Pros
  • +High staffing throughput for clinical roles across multi-site programs
  • +Consistent recruiter-to-study alignment on role expectations and timelines
  • +Replacement coverage planning supports continuity during study changes
  • +Sponsor-facing coordination helps maintain staffing governance expectations
Cons
  • –Less emphasis on API-driven provisioning and automated assignment workflows
  • –Replacement outcomes depend on how precisely role requirements are documented
Use scenarios
  • Clinical operations teams

    CRA coverage for site ramp-up

    Fewer coverage gaps

  • Clinical data management leads

    Staff augmentation for data workflows

    Stable data operations

Show 1 more scenario
  • Trial start-up managers

    Coordinators for start-up throughput

    Faster onboarding cadence

    Randstad provides clinical trial coordinators to keep study start-up tasks moving across new sites.

Best for: Fits when sponsors need fast clinical staffing continuity across sites with strong human-led coordination.

#2

IQVIA

enterprise_vendor

Supplies clinical development personnel and managed functional services for sponsors and biotechnology companies.

8.9/10
Overall
Features8.9/10
Ease of Use8.9/10
Value8.9/10
Standout feature

Phase-aligned staffing orchestration that keeps clinical operations and safety workflows synchronized across trial milestones.

IQVIA covers broad clinical staffing needs for large, multi-site programs, including clinical trial coordinator coverage, site activation support, query management operations, and safety case processing support. Role allocation tends to follow study phases so that monitoring visit coverage, trial master file management support, and pharmacovigilance reconciliation work can stay aligned to the protocol and project plan.

A common tradeoff is that delivery is strongest when an internal sponsor can provide clear governance and timely decisions for clinical operations, quality expectations, and safety escalation paths. IQVIA works well when a sponsor needs a consistent staffing model across start-up, execution, and close-out, especially for programs with inspection scrutiny and tight cross-functional interfaces.

Pros
  • +Cross-functional staffing coverage from start-up through safety operations
  • +Large-scale mobilization for multi-site monitoring and coordinator needs
  • +Operations that align staffing handoffs to study phases
  • +Inspection-minded execution support across clinical and safety workflows
Cons
  • –Requires strong sponsor governance to avoid slow decision cycles
  • –Best results depend on detailed onboarding of project-specific standards
  • –Role routing can feel process-heavy for small, short trials
  • –Coordination overhead increases when many workstreams run in parallel
Use scenarios
  • Clinical operations leadership

    Add monitoring and coordinator coverage

    Consistent site execution cadence

  • Data management teams

    Sustain query and reconciliation workload

    Reduced backlog risk

Show 2 more scenarios
  • Pharmacovigilance leads

    Handle safety processing peaks

    Timely safety processing

    IQVIA staffing supports safety case processing work that must keep pace with event intake volume.

  • Regulatory program owners

    Maintain TMF execution readiness

    Cleaner inspection submissions

    IQVIA supports trial master file management tasks that support inspection readiness across milestones.

Best for: Fits when sponsors need staffed execution coverage across start-up, monitoring, and safety operations with strict oversight.

#3

Hays

enterprise_vendor

Global recruitment firm with a Life Sciences division covering clinical research and pharma staffing.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Role-based candidate qualification and recruiter handoffs that maintain sponsor oversight during scaling.

Hays delivers clinical research staffing that typically spans clinical operations roles like clinical research associates and clinical trial coordinators, plus adjacent functions such as clinical data managers and regulatory affairs specialists. The delivery model centers on recruiter-managed intake, documented candidate qualification, and operational handoffs that keep sponsor oversight intact. This approach works best for sponsors that already define study requirements and need talent supply that maps to them.

A tradeoff appears when a sponsor expects deep, sponsor-owned platform integration such as specialized query workflow automation or data integration schema work from the staffing partner. Hays is most useful when staffing volume changes midstream, such as adding monitoring coverage or expanding data management resourcing during protocol amendments. In these situations, Hays’ process depth matters more than technology depth.

Pros
  • +Broad clinical talent sourcing across CRA, coordinator, and data management roles
  • +Recruiter-led intake that maps staffing needs to defined job requirements
  • +Operational handoffs that support assignment transitions across studies
  • +Consistent sponsor oversight by keeping governance in sponsor control
Cons
  • –Limited evidence of native automation for trial data integration workflows
  • –Staffing success depends on clear sponsor specifications and tight feedback loops
Use scenarios
  • Clinical operations leaders

    Monitoring coverage expansion across trials

    Fewer staffing gaps in coverage

  • Clinical data management teams

    Query and reconciliation staffing support

    More consistent query throughput

Show 1 more scenario
  • Regulatory affairs managers

    Regulatory submissions resourcing

    Sustained regulatory execution capacity

    Hays coordinates staffing for regulatory roles during ethics and submission workstreams.

Best for: Fits when sponsors need repeatable staffing coverage across multiple clinical roles and study waves.

#4

Syneos Health

enterprise_vendor

Biopharmaceutical solutions company offering clinical staffing and functional resourcing alongside CRO services.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Program delivery coordination across start-up, monitoring coverage, and functional execution teams under a controlled escalation path.

Syneos Health is a clinical research staffing provider that combines large-scale staff augmentation with full-service outsourcing for study operations. Delivery tends to center on trial start-up support, clinical monitoring staffing, and ongoing execution coverage across protocols under sponsor oversight.

Pros
  • +Cross-functional staffing supports parallel start-up, monitoring, and data support workstreams
  • +Staffing continuity is well suited to long-running studies with stable protocol execution needs
  • +GxP-aligned delivery controls reduce coordination risk across sites and regions
  • +Clear sponsor oversight model supports accountability for study decisions and escalation
Cons
  • –Delivery depends on disciplined sponsor input for protocol, timelines, and workflow ownership
  • –Integration depth can require more coordination when internal systems and vendors vary
  • –Resource flexibility may lag for highly specialized niche roles on tight timelines
  • –Governance overhead can feel heavy for small programs with limited internal management

Best for: Fits when sponsors need dependable cross-functional staffing coverage with strong governance and sponsor oversight.

#5

Parexel

enterprise_vendor

Provides functional service provider staffing and clinical development services across global trial programs.

8.1/10
Overall
Features8.1/10
Ease of Use8.2/10
Value8.0/10
Standout feature

Cross-functional study execution staffing that pairs start-up responsibilities with ongoing trial delivery through accountable teams.

Parexel delivers clinical research staffing through functional service and staff augmentation, covering roles like clinical trial coordinators, clinical data managers, biostatisticians, and regulatory affairs specialists. The differentiator is operational coverage across study start-up work, trial execution support, and inspection readiness activities through dedicated project staffing rather than ad hoc sourcing.

Pros
  • +Broad role coverage from start-up to closeout staffing
  • +Clear operational ownership for protocol training and site support
  • +Dedicated teams that align work output to sponsor governance
  • +Practical TMF and inspection readiness staffing support
Cons
  • –Execution consistency depends heavily on sponsor-provided SOP mapping
  • –Staffing swaps can require re-onboarding to site practices
  • –Automation and API surfaces are not the primary delivery mechanism
  • –Integration depth varies when systems and document formats differ

Best for: Fits when sponsors need staffed delivery across multiple functions with strong oversight and site-level execution control.

#6

Planet Pharma

agency

Provides contract staffing, permanent recruitment, and workforce solutions for pharmaceutical and clinical research organizations.

7.7/10
Overall
Features7.7/10
Ease of Use7.7/10
Value7.7/10
Standout feature

Role-based staffing model with delivery accountability for clinical operations execution across the study lifecycle.

Planet Pharma is a clinical research staffing provider that fits sponsors needing managed delivery of clinical operations roles rather than only individual staff augmentation. Core coverage typically includes the staffing of clinical research associates and trial coordination functions that support study start-up execution and ongoing trial delivery under sponsor oversight.

Pros
  • +Staffing coverage oriented around day-to-day clinical operations roles
  • +Role handoffs between trial coordination and monitoring work are structured
  • +Sponsor oversight expectations are handled through clear delivery accountability
  • +Trial execution focus fits sites and study teams needing dependable coverage
Cons
  • –Limited visibility into automation depth compared with tech-forward vendors
  • –Complex study governance can require tighter sponsor dependency management
  • –API and systems integration scope is not the primary differentiator
  • –Documentation and readiness workflows may need sponsor-led standardization

Best for: Fits when mid-size sponsor teams need steady clinical operations staffing coverage with direct sponsor oversight.

#7

PSI CRO

specialist

Provides clinical research personnel and outsourced trial services across study start-up, monitoring, data, and regulatory work.

7.5/10
Overall
Features7.5/10
Ease of Use7.6/10
Value7.4/10
Standout feature

End-to-end operational delivery coordination that wraps staffing around ongoing trial workflows and oversight expectations.

PSI CRO differentiates from staffing-only agencies by combining clinical research staffing with study delivery work across start-up, operational execution, and oversight-ready documentation workflows. The service coverage typically includes clinical trial coordinators and clinical research associates deployment for monitoring visit coverage, query and follow-up support, and sponsor-facing coordination.

Pros
  • +Operational staffing aligns to end-to-end trial execution, not just headcount
  • +Monitoring visit coverage planning supports continuity across study milestones
  • +Safety staffing supports adverse event reconciliation within day-to-day operations
  • +Sponsor oversight coordination is structured for inspection readiness workflows
Cons
  • –Governance and SOP alignment require active sponsor involvement during ramp
  • –Integration and API automation depth is not a primary differentiator for staffing
  • –Staffing resourcing can lag quickly changing enrollment targets without lead time
  • –Trial master file document workflows depend on clear study document ownership

Best for: Fits when trial teams need managed staffing plus operational execution support for inspections-ready delivery.

#8

ProPharma

specialist

Provides life sciences consulting and contract personnel for pharmacovigilance, regulatory affairs, quality, and clinical operations.

7.2/10
Overall
Features7.2/10
Ease of Use7.1/10
Value7.3/10
Standout feature

Staffing continuity planning for study operations roles that reduce coverage volatility across trial phases.

ProPharma is a clinical research staffing provider that fills sponsor-driven needs with functional service provider style resourcing across study operations roles. The firm’s delivery model centers on staffing continuity for clinical trial workflows, including start-up execution and ongoing trial support staffed by role-specific personnel.

Pros
  • +Role-specific staffing for trial execution and study start-up support
  • +Sponsor oversight model keeps governance close to internal decision makers
  • +Operational continuity focus reduces mid-study coverage gaps
  • +Clear separation between sponsor direction and staffed execution work
Cons
  • –Less of an automation and API surface for workflow orchestration
  • –Workflow handoffs can add coordination overhead for complex multi-vendor programs
  • –Depth varies by specialty area compared with larger full-service providers
  • –Shared responsibility model can slow escalation without tight sponsor processes

Best for: Fits when sponsor teams need steady clinical trial staffing coverage with clear oversight boundaries.

#9

ClinForce

specialist

Clinical research staffing and recruitment firm specializing in placing CRA, CPM, and biostatistics professionals.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Delivery is organized around trial execution coverage continuity, not just individual headcount fulfillment.

ClinForce coordinates clinical research staffing by assigning clinical trial personnel for study start-up and ongoing trial execution under sponsor oversight. Delivery typically centers on roles that support protocol training, site-facing trial operations, and safety and data workflow continuity.

Pros
  • +Strong staffing coverage planning for trial start-up through active execution
  • +Clear handoff expectations between assigned personnel and sponsor oversight
  • +Operational consistency across monitoring visit coverage cycles
  • +Practical workflow support for query and safety reconciliation processes
Cons
  • –Governance and documentation discipline is needed for smooth sponsor integration
  • –Coverage depth can lag for highly specialized niche roles on tight timelines
  • –Integration with sponsor systems depends on structured onboarding by the sponsor team
  • –Protocol-specific continuity requires explicit scheduling and role definition

Best for: Fits when sponsor teams need managed staffing continuity across start-up and in-trial operations.

#10

Advanced Clinical

specialist

Provides functional service provider teams, clinical staffing, trial operations, and consulting for biopharmaceutical sponsors.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

Built around named study teams that stay aligned to start-up training and monitoring coverage planning.

Advanced Clinical provides clinical research staffing and managed staffing coverage built around sponsor oversight and scheduled resourcing for roles like clinical research associates and clinical trial coordinators. The company’s distinct angle is its ability to supply named study teams and keep them aligned to start-up timelines, protocol training expectations, and monitoring visit coverage needs.

Pros
  • +Provides role-specific staffing for study execution needs under sponsor oversight
  • +Schedules staffing around start-up milestones and early protocol training demands
  • +Supports ongoing safety case processing coverage as trials move into maintenance
  • +Maintains operational continuity for monitoring visit coverage planning
Cons
  • –Integration work with sponsor systems can add setup effort for internal teams
  • –RBAC and audit log depth depend on the sponsor’s tooling and access model
  • –Staffing delivery quality can vary by therapeutic area and study complexity
  • –Governance artifacts for inspections may require sponsor-led alignment

Best for: Fits when clinical operations teams need scheduled staffing coverage across start-up through trial execution.

Conclusion

After evaluating 10 clinical research staffing, Randstad stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Randstad

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Clinical Research Staffing

How do staffing-only models differ from full-service outsourcing for trial operations?
Syneos Health combines clinical research staffing with full-service outsourcing, so trial start-up support and ongoing execution run under a single governance path. PSI CRO also wraps staffing around inspection-ready operational delivery, which reduces handoff steps between people and study workflows. Parexel and ProPharma split more often between staffing and functional delivery boundaries, so operational ownership needs to be defined at the engagement scope level.
Which providers handle named study teams that stay aligned across start-up and monitoring coverage?
Advanced Clinical builds engagements around named study teams that align with protocol training expectations and monitoring visit coverage planning. ClinForce assigns personnel for start-up and ongoing execution with documented handoff between staff and sponsor leadership. Syneos Health provides program delivery coordination across start-up, monitoring coverage, and functional execution teams under an escalation path.
How should a sponsor plan onboarding for sponsor oversight and protocol training expectations?
IQVIA focuses on mobilizing dedicated staffing across start-up and safety workflows, which helps keep protocol training synchronized with operational milestones. Randstad runs recruiter-led role matching tied to study timelines and monitoring readiness, which supports faster staffing waves across sites. Parexel emphasizes accountability for protocol training, monitoring visit coverage, and TMF support workflows, which makes onboarding expectations easier to write into delivery governance.
What breaks when staffing must scale across regions or study waves without a strict continuity plan?
Hays highlights role-based candidate qualification and recruiter handoffs, which helps maintain sponsor oversight during scaling across multiple studies and geographies. Without continuity planning, Advanced Clinical and ClinForce still provide scheduled coverage but risk misalignment if start-up training schedules do not map to monitoring visit demand. Syneos Health reduces this risk through controlled escalation and cross-functional coordination, but it still requires the sponsor to provide clear governance checkpoints.
Which providers best support functional service coverage for clinical data management and safety operations?
IQVIA can staff clinical data managers and safety-adjacent work under sponsor oversight, which supports inspection readiness across safety workflows. PSI CRO adds safety operations staffing, including adverse event reconciliation support and pharmacovigilance specialist coverage for ongoing trials. Parexel delivers cross-functional study execution support that spans clinical data management and regulatory roles with defined accountability, which changes how quickly documentation and safety tasks can be staffed together.
How do integration and automation requirements affect staffing delivery for trial systems?
Parexel notes that integration outcomes depend on how well sponsor systems and documentation standards are specified before staff execution starts. IQVIA’s operational approach targets inspection readiness, so sponsors typically need to define data and workflow expectations early so clinical data managers can work with the trial data model the sponsor uses. Syneos Health’s cross-functional coordination reduces delays when parallel workstreams share the same documentation and operational governance checkpoints.
What data migration and trial master file readiness items should be clarified before staff begin work?
Parexel’s TMF support workflows require the sponsor to define documentation standards and readiness expectations up front so staff can execute consistently. PSI CRO’s inspection-ready operational delivery depends on how query and follow-up support connects to safety and documentation workflows already in use. Syneos Health’s program delivery coordination expects governance checkpoints tied to ongoing execution, which makes trial master file management and document readiness part of the staffing plan rather than a later step.
How do access controls like RBAC and secure provisioning typically appear in staffing engagements?
Randstad’s recruiter-led onboarding and credential workflow coordination focuses on getting staff credentials and role permissions in place for each site workload. Syneos Health and IQVIA both deliver under sponsor oversight, so RBAC expectations must be written into the escalation and governance boundaries before operational execution starts. Parexel shifts operational accountability into project staffing, which means provisioning requirements need clear handoff points between sponsor IT, study governance, and assigned staff teams.
When sponsor teams need query management and safety reconciliation support, how do providers differ in delivery boundaries?
ClinForce and Advanced Clinical both emphasize continuous execution with documented handoff, so query and safety reconciliation work stays attached to assigned trial personnel. PSI CRO explicitly covers adverse event reconciliation workflows alongside monitoring support, which reduces split ownership across vendors. IQVIA pairs staffing orchestration with safety and quality workflows, so sponsor oversight can stay consistent while query and safety tasks move across trial milestones.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Clinical Research Staffing

We separate options in clinical research staffing by whether staffing work can be linked to study execution data through the right data model and automation and API surface. We also look at audit log and provisioning controls so staffing changes remain traceable across teams.

Study-to-staffing work mapping

Why it matters

Study-to-staffing work mapping matters because clinical research staffing is rarely one generic roster; teams must connect roles to the right study needs and timelines. Without this link, assignments drift and reporting becomes unreliable.

How to check

Ask for a demo where you can create an assignment against a specific study and role, then see it carry through to planning and tracking screens. Use a sample workbook or import to show how study identifiers and staffing records stay connected end to end.

Capacity and staffing forecast views

Why it matters

Capacity and staffing forecast views matter because staffing decisions are time-based and constrained by availability. Clear forecast logic helps avoid last-minute staffing gaps and mismatched workloads.

How to check

In a demo, request a capacity screen that shows demand by date and role and compares it to available capacity. Ask them to show what happens when a staffing change is entered and how the forecast updates.

Automation and API surface coverage

Why it matters

Automation and API surface coverage matters because clinical research staffing teams often need to move information between systems quickly. Strong automation reduces manual copy/paste and keeps the staffing plan current.

How to check

Ask whether key events (new request, role change, assignment close) can trigger workflows automatically. Then ask for the documented API endpoints available for those events and do a live example of pulling staffing data into a demo dashboard.

Role skill requirements and matching

Why it matters

Role skill requirements and matching matter because staffing quality depends on the right mix of experience and study-appropriate skills. If matching is vague, you get more interviews but fewer correct placements.

How to check

Request a screen where you define role requirements (skills, experience flags, study-related constraints) and then match candidates or internal staff to those requirements. Use a “near match” example and verify how the tool explains gaps and fit.

Audit log and change traceability

Why it matters

Audit log and change traceability matters because staffing decisions affect study execution and internal accountability. If you can’t track who changed what and when, review and rework become painful.

How to check

Ask for an audit log view that captures staffing record edits, assignment status changes, and reassignments. In the demo, change one assignment twice and verify you can filter the audit trail by study and by person.

Provisioning and RBAC workflows

Why it matters

Provisioning and RBAC workflows matter because staffing operations involve multiple teams with different permissions. Without clear role-based access and onboarding/offboarding flows, people can see or edit the wrong staffing data.

How to check

During the demo, ask for at least three user roles (requester, reviewer, assignment owner) and verify permissions on staffing records. Then walk through adding a user, removing access, and confirming what historical records remain visible.

Red flags

  • Staffing assignments don’t stay linked to the specific study context.
  • Forecasts don’t recalculate after staffing or capacity changes.
  • Audit history is incomplete for staffing edits and status changes.

Fit by situation

  • If we manage staffing across multiple studies with frequent reassignment, prioritize Study-to-staffing work mapping.
  • If our bottleneck is time-based availability and planning errors, prioritize Capacity and staffing forecast views.
  • If we must connect staffing actions to other systems and teams, prioritize Automation and API surface coverage.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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