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Science ResearchTop 10 Best Fluid Flow Analysis Software of 2026
Top 10 ranking of fluid flow analysis software for CFD engineers, comparing OpenFOAM and Autodesk CFD on features, accuracy, and workflow tradeoffs.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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OpenFOAM is the best fit for engineering teams that need solver extensibility and repeatable CFD automation without GUI constraints, while FLOW-3D is the entry worth choosing if your work centers on free-surface and multiphase equipment geometries, and Autodesk CFD is best when you want fluid-flow studies to flow directly from CAD in Autodesk-centric teams.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
OpenFOAM
Case configuration through text dictionaries that drive solver behavior and can be diffed across study iterations.
Best for: Fits when engineering teams need solver extensibility and repeatable CFD automation without GUI constraints.
OpenFOAM
Editor pickText-based case structure plus source-based solver customization enables deep numerics changes without migrating to a different stack.
Best for: Fits when engineering teams need solver customization, reproducible case control, and automation around CFD runs.
Autodesk CFD
Editor pickAutodesk geometry-driven simulation preparation links CAD iteration cycles to CFD setup and result review.
Best for: Fits when Autodesk-centric teams need repeatable fluid flow studies from CAD.
Comparison Table
OpenFOAM
API-firstOpen-source CFD software for customizable fluid flow and continuum mechanics simulations.
Case configuration through text dictionaries that drive solver behavior and can be diffed across study iterations.
OpenFOAM targets teams that need to control the entire CFD pipeline from geometry import through mesh generation, boundary condition specification, and solver convergence behavior. The software separates case configuration from execution so multiple studies can reuse the same directory structure while changing parameters and conditions. Automation is typically achieved by running solver and post-processing commands in batch, then extracting fields for plotting or downstream reporting.
The tradeoff appears in developer effort for setup and customization because advanced physics or specialized numerical schemes can require writing new solvers or function objects. OpenFOAM fits well when a group already uses text-based configuration workflows or needs to standardize results across many parameter sweeps on shared compute resources.
- +Extensible solver and numerics via custom code hooks
- +Text-based case configuration supports repeatable studies
- +Batch-friendly command workflows for large parameter sweeps
- +Field and volume post-processing is included in the distribution
- –Initial setup and debugging often demand CFD programming skills
- –GUI-style workflow automation and governance controls are limited
CFD engineers
Customize numerics for nonstandard physics
Numerical method matches requirements
Research labs
Run transient studies across parameters
Faster iteration cycles
Show 1 more scenario
Manufacturing engineering
Standardize internal CFD study templates
Consistent results across projects
Engineering groups reuse case directory structures and update only boundary conditions and mesh settings.
Best for: Fits when engineering teams need solver extensibility and repeatable CFD automation without GUI constraints.
OpenFOAM
enterpriseOpen-source CFD toolbox for customizable fluid flow simulation.
Text-based case structure plus source-based solver customization enables deep numerics changes without migrating to a different stack.
OpenFOAM fits teams that treat CFD as an engineering process rather than a click-through workflow. Case setup is driven by text configuration files, and users can swap solvers and tune numerics to match pressure–velocity coupling and convergence behavior. Meshes and boundary conditions flow through the same case structure, and post-processing can run with dedicated utilities that read the case outputs in-place.
The main tradeoff is workflow friction caused by manual configuration and dependency on solver and utility compatibility across versions. It works best when automation is built around case templating and repeatable meshing and run scripts, such as parameter sweeps for transient flow studies where consistent residual monitoring matters.
- +Source-level solver extensibility for customized numerics and physics
- +Case-driven configuration and utilities that keep runs reproducible
- +Strong community solver coverage for many incompressible and compressible cases
- +Post-processing utilities support batch workflows across many runs
- –Case setup and solver configuration demand expert attention
- –Version and solver compatibility issues can break automation scripts
- –Large simulations require careful tuning for throughput and stability
- –GUI-style guided workflows are limited compared with commercial CFD suites
CFD research engineers
Implement a custom solver
Tailored physics with repeatable runs
Manufacturing simulation teams
Run transient flow parameter sweeps
Consistent throughput for comparisons
Show 2 more scenarios
Aerospace flow analysts
Model complex turbulence behavior
Convergence matched to targets
Analysts select and tune turbulence modeling options to match observed flow regimes.
Fluid-structure interaction specialists
Couple flow loads into FSI
Iterative coupling for time-dependent loads
Teams use external orchestration to connect OpenFOAM outputs to structural solvers in iterations.
Best for: Fits when engineering teams need solver customization, reproducible case control, and automation around CFD runs.
Autodesk CFD
SMBCFD software for evaluating fluid flow, heat transfer, and ventilation in product designs.
Autodesk geometry-driven simulation preparation links CAD iteration cycles to CFD setup and result review.
Autodesk CFD fits organizations that already standardize on Autodesk design data and need predictable CFD setup from imported geometry to simulation results. Mesh generation and boundary condition definition are presented as guided steps that reduce time spent on setup for typical fluid flow studies. Solver runs can cover core flow modeling needs and include turbulence modeling choices for RANS-style workflows. Post-processing supports common viewing and reporting tasks to compare runs across design iterations.
A tradeoff appears when workflows require deep control over discretization details, custom solver development, or highly specialized multiphysics coupling beyond what Autodesk CFD exposes. Autodesk CFD is a strong fit when engineers need throughput for frequent geometry changes and want a repeatable process that starts from CAD-ready inputs. It is less appropriate for teams that expect heavy scripting around the full solver stack or that require niche numerical capabilities.
- +CAD-first workflow reduces friction from imported geometry to meshing
- +Guided setup supports faster boundary condition creation for common studies
- +Result post-processing supports design iteration comparisons
- +Steady and transient simulation coverage covers typical fluid flow questions
- –Limited access to low-level solver controls versus code-driven CFD
- –Advanced multiphysics coupling options can be narrower than specialized tools
Product design engineers
Iterative cooling airflow studies
Faster design iteration cycles
Mechanical engineering teams
Duct and manifold pressure loss
More consistent pressure drop decisions
Show 1 more scenario
Sustainability and energy analysts
Ventilation and indoor airflow checks
Quicker scenario turnarounds
Analysts model airflow around equipment layouts using repeatable meshing from design models.
Best for: Fits when Autodesk-centric teams need repeatable fluid flow studies from CAD.
FLOW-3D
vertical specialistSpecialized CFD software for free-surface, multiphase, thermal, and transient flow problems.
FREE-SURFACE and multiphase CFD workflows designed around capturing interface dynamics and transient behavior.
FLOW-3D focuses on CFD workflows where multiphase physics and free-surface behavior matter, using its FLOW-3D solver suite to model complex flows with strong geometry and boundary specification support. The tool supports structured and grid-ready meshing approaches, and it includes built-in simulation setup patterns that help teams move from case definition to transient or steady runs with residual and stability monitoring.
- +Strong multiphase and free-surface modeling for industrial geometry
- +Stable case setup workflow with practical convergence monitoring
- +Feature set tailored for transient free-surface CFD use cases
- +Post-processing supports inspection of time-dependent flow behavior
- –Meshing flexibility can feel restrictive for highly irregular domains
- –Setup time increases when coupling multiple physical effects
- –Automation through API and scripting is less visible than competitors
- –Large runs require careful hardware planning to avoid slow iteration
Best for: Fits when teams need reliable free-surface and multiphase CFD results for realistic equipment geometries.
Pipe Flow Expert
SMBPipe network design software for calculating flow rates, pressure loss, and pump requirements.
Automatic hydraulics calculation that ties each segment’s pressure loss back to defined components and operating targets.
Pipe Flow Expert builds fluid flow models from piping and component data, then generates hydraulics and pressure-loss results for pipe networks. The tool emphasizes fast scenario runs for pressure drops, valve and fitting impacts, and network-wide operating point checks.
- +Network segment structure keeps pressure-loss contributions easy to trace
- +Scenario comparisons support rapid design iteration across valve and fitting settings
- +Hydraulics outputs align with piping-centric workflows and acceptance criteria
- +Import and reuse of system assumptions reduces repeated manual modeling
- –CFD-grade physics like multiphase behavior often falls outside its scope
- –Complex custom correlations can be hard to express without extension points
- –Mesh generation and solver configuration are not the primary workflow focus
- –Large systems can feel slower when many components change per run
Best for: Fits when piping engineers need repeatable pressure-drop studies for networks, valves, and fittings.
COMSOL Multiphysics CFD Module
enterpriseFinite-element CFD software for coupled fluid flow and multiphysics analysis.
One simulation model that coordinates CFD with conjugate heat transfer and structural interaction inside the same study sequence.
COMSOL Multiphysics CFD Module fits teams that need CFD runs tied to broader physics models in one governed workflow. It couples multiphysics coupling workflows with solver-driven meshing and CAD-interoperable geometry handling for steady and transient CFD.
- +Tight multiphysics coupling workflow supports CFD with heat and structure interactions
- +Integrated CAD import and meshing tools reduce handoff between geometry and solver
- +Built-in post-processing supports residual and field evaluation across parameter sweeps
- +Extensive physics library helps standardize boundary conditions and initial condition setups
- –Meshing controls can be complex for high-gradient flows
- –Automation through scripting and API access takes setup discipline to match repeatability goals
- –Large transient runs can strain resources compared with lean solver-first workflows
- –Solver tuning may require more attention than in code-centric CFD toolchains
Best for: Fits when engineering groups need repeatable CFD plus coupled physics studies under one simulation workflow.
Dassault Systèmes SIMULIA PowerFLOW
enterpriseLattice Boltzmann CFD solver for external aerodynamics.
Enterprise-oriented study automation that fits repeatable CFD execution paths inside the 3ds workflow.
Dassault Systèmes SIMULIA PowerFLOW is distinct for its fluid-flow workflow tied to the 3ds ecosystem, which helps teams keep geometry-to-simulation continuity across projects. The package focuses on CFD execution with an emphasis on boundary-condition setup, steady and transient runs, and detailed flow-field post-processing.
- +Strong CAD-to-CFD workflow continuity inside the 3ds environment
- +Good boundary-condition workflow for common industrial boundary setups
- +Post-processing tailored for practical flow diagnostics and comparisons
- +Automation supports repeatable study generation and batch execution
- –Advanced meshing control can require careful setup for complex geometries
- –Workflow depth depends on broader 3ds integration and configuration
- –Less flexible for users who want a solver-first, format-agnostic workflow
- –Automation surfaces are more enterprise workflow oriented than lightweight scripting
Best for: Fits when engineering groups need repeatable CFD workflows tightly integrated with existing Dassault Systèmes CAD and study pipelines.
Cadence Fidelity
enterpriseCFD software suite for aerospace, automotive, turbomachinery, and electronics cooling applications.
A review-oriented results data model that links runs to the specific boundary condition context used to generate them.
Cadence Fidelity targets fluid flow analysis with a workflow centered on CFD data management, result review, and collaborative engineering handoffs. It connects simulation outputs to traceable review steps so teams can compare runs, inspect boundary condition setups, and document conclusions without rebuilding context.
- +API-first integration supports automation across CFD result workflows
- +Run-to-run comparison keeps boundary condition context attached to outputs
- +Collaborative review flow reduces friction during engineering signoff cycles
- +Traceable artifacts help maintain continuity across distributed teams
- –CFD preprocessing and meshing controls are limited compared with dedicated solvers
- –Advanced governance and configuration require disciplined admin setup
- –Some solver-specific visualization depth depends on upstream exports
- –Large case libraries can slow browsing without careful organization
Best for: Fits when teams need controlled CFD result review, automated comparisons, and audit-ready handoff artifacts.
Code_Saturne
API-firstOpen-source CFD software for incompressible, compressible, turbulent, and multiphase flow simulation.
Solver configuration and runtime monitoring designed around fine-grained numerical control for finite-volume simulations.
Code_Saturne solves incompressible and compressible Navier–Stokes problems with a finite volume method approach. It supports common CFD workflows like steady and transient runs, turbulence modeling, and conjugate heat transfer setups.
- +Strong support for steady and transient Navier–Stokes workflows
- +Finite volume discretization geared to pressure–velocity coupling problems
- +Conjugate heat transfer workflows for coupled solid and fluid domains
- +Residual and iteration monitoring that surfaces solver behavior during runs
- –Configuration-heavy setup for turbulence, numerics, and boundary conditions
- –Workflow integration with external CAD and meshing tools can require add-ons
- –Learning curve is steeper than GUI-first CFD packages
- –Mesh preparation and refinement discipline is often necessary for convergence
Best for: Fits when engineering teams need controlled numerical setup for coupled thermal-fluid CFD.
Siemens Simcenter STAR-CCM+
enterpriseMultiphysics CFD platform for industrial flow and thermal analysis.
STAR-CCM+ macros and scripted workflows standardize meshing, solver runs, and post-processing across projects.
Siemens Simcenter STAR-CCM+ targets teams that need industrial-grade CFD end to end, from geometry import through solver setup and results analysis. It supports multiphysics workflows including conjugate heat transfer, multiphase physics, and fluid structure interaction within one project environment.
- +Strong multiphysics coverage including conjugate heat transfer and FSI
- +Automation via macros and scripted workflows for repeatable CFD runs
- +Project-based organization keeps solver setup and post-processing linked
- +Detailed convergence and monitoring controls for difficult cases
- –Higher learning curve for advanced setup and solver tuning
- –Complex model management can slow teams without disciplined run standards
Best for: Fits when engineering teams need repeatable, automated CFD workflows with multiphysics coverage.
Conclusion
After evaluating 10 fluid flow analysis software, OpenFOAM 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.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Fluid Flow Analysis Software
Engineering teams buying fluid flow analysis software usually face a choice between text-driven CFD control and CAD-to-solver guided workflows. This buyer's guide covers OpenFOAM, Autodesk CFD, FLOW-3D, Pipe Flow Expert, COMSOL Multiphysics CFD Module, Dassault Systèmes SIMULIA PowerFLOW, Cadence Fidelity, Code_Saturne, and Siemens Simcenter STAR-CCM+. OpenFOAM is the top-ranked option for repeatable CFD automation through case text dictionaries that drive solver behavior.
The decision also turns on how much control the workflow exposes for numerics and multiphysics coupling versus how much governance is delivered for repeatable runs. Cadence Fidelity is included for run-to-run result review data structure, while Siemens Simcenter STAR-CCM+ and COMSOL Multiphysics CFD Module are included for automation across multiphysics sequences. These sections connect each tool’s configuration surface to what engineering teams need from automation, integration, and execution consistency.
Fluid Flow Analysis Software for CFD case control, automation, and multiphysics workflows
Fluid flow analysis software supports computational fluid dynamics workflows that convert geometry, boundary conditions, and numerical settings into solver runs and post-processing outputs. OpenFOAM targets this by using text-based case structure that can be diffed across iterations to keep solver behavior consistent.
Other tools emphasize different coupling and workflow mechanics. Autodesk CFD connects CAD iteration cycles to CFD preparation and review, while COMSOL Multiphysics CFD Module coordinates CFD with conjugate heat transfer and structural interaction inside one simulation model sequence.
Execution control surface, integration automation, and results governance for CFD
Fluid flow analysis software succeeds or fails on how reliably it turns boundary conditions, numerics, and geometry into solver runs that match the intent of a CFD study. OpenFOAM’s standout text dictionaries for case configuration matter because they carry solver behavior as a diffable artifact across study iterations.
Case configuration that stays diffable across iterations
OpenFOAM uses text-based case structure driven by dictionaries so engineering teams can track solver behavior changes across study iterations. Code_Saturne focuses on fine-grained runtime and numerical control for finite-volume simulations, which keeps intent tied to solver settings but can raise configuration overhead.
Automation and API surfaces for repeatable CFD workflows
Cadence Fidelity provides API-first integration that supports automation across CFD result workflows and attaches boundary condition context to outputs. Siemens Simcenter STAR-CCM+ relies on STAR-CCM+ macros and scripted workflows to standardize meshing, solver runs, and post-processing across projects.
Integration depth between CAD, meshing, and solver preparation
Autodesk CFD links CAD iteration cycles to CFD setup and result review, which reduces friction from imported geometry to meshing. COMSOL Multiphysics CFD Module includes integrated CAD import and meshing tools so coupled physics studies share one simulation workflow with fewer handoffs.
Multiphysics coupling that fits the study type without tool switching
Dassault Systèmes SIMULIA PowerFLOW coordinates repeatable CFD execution paths inside the 3ds workflow to support study automation aligned to existing CAD and study pipelines. Siemens Simcenter STAR-CCM+ covers strong multiphysics including conjugate heat transfer and FSI, which helps teams keep coupled modeling inside one environment.
Results data model that preserves the boundary-condition context behind outputs
Cadence Fidelity’s review-oriented results data model keeps runs linked to the boundary condition context that generated them. OpenFOAM emphasizes text-driven configuration that keeps behavior reproducible through case artifacts, but it does not provide the same dedicated review data model for attaching boundary context to results.
Match the workflow control philosophy to the team’s CFD process
The right selection depends on whether the team’s process treats CFD configuration as code-like study artifacts or as guided GUI steps backed by scripting and governance. OpenFOAM and Code_Saturne optimize for numerical control and repeatability through solver configuration surfaces, while Autodesk CFD and COMSOL Multiphysics CFD Module optimize for CAD-to-solver preparation flow.
Choose text-driven case control when study reproducibility and diffs come first
If engineering teams need solver behavior that can be diffed as study configuration changes, OpenFOAM fits because solver behavior is driven by text dictionaries. If teams need finite-volume pressure–velocity coupled Navier–Stokes workflows with fine-grained numerical setup, Code_Saturne supports controlled numerics even when configuration becomes heavier.
Choose CAD-first guided setup when geometry iteration dominates effort
If the biggest time sink is getting imported geometry into consistent boundary-condition-ready models, Autodesk CFD fits because it connects CAD iteration cycles directly to simulation preparation and result review. If the study requires a single coordinated model for CFD plus conjugate heat transfer and structural interaction, COMSOL Multiphysics CFD Module fits because one simulation model coordinates coupled physics in the same study sequence.
Choose multiphase and free-surface workflows when interfaces drive the results
If free-surface behavior and interface dynamics drive transient outcomes, FLOW-3D fits because it is designed around free-surface and multiphase CFD workflows. If the scenario is primarily network pressure loss across valves and fittings, Pipe Flow Expert fits because it uses automatic hydraulics calculations that tie each segment’s pressure loss back to defined components and operating targets.
Choose API and results-model control when review and audit artifacts must be consistent
If teams need automated comparisons that retain the boundary-condition context behind outputs, Cadence Fidelity fits because its review-oriented results data model links runs to the boundary condition context and exposes API-first integration. If teams need project-level standardization through repeatable scripts rather than a dedicated review data model, Siemens Simcenter STAR-CCM+ fits because macros and scripted workflows standardize meshing, solver runs, and post-processing.
Choose enterprise workflow automation when the CAD ecosystem drives execution paths
If the organization runs CFD inside Dassault Systèmes study pipelines, SIMULIA PowerFLOW fits because it is enterprise-oriented and repeats CFD execution paths inside the 3ds workflow. If the organization expects deep low-level solver control inside a finite-volume framework, OpenFOAM or Code_Saturne aligns better because configuration and numerics are controlled through solver behavior surfaces.
Who benefits from the different CFD workflow mechanics
Different CFD teams value different control points, such as solver behavior configuration, CAD-to-solver handoff, or a structured results model for review. OpenFOAM best serves teams that treat CFD configuration as repeatable artifacts rather than one-off GUI steps.
Engineering teams that standardize CFD runs across many studies
OpenFOAM supports solver behavior repeatability through text dictionaries that keep case control as a diffable artifact across iterations. Siemens Simcenter STAR-CCM+ supports standardization through macros and scripted workflows that standardize execution and post-processing across projects.
CAD-centric groups that want faster path from geometry to solver setup
Autodesk CFD reduces friction from imported geometry to meshing and boundary conditions by using a CAD-first workflow linked to setup and review. COMSOL Multiphysics CFD Module reduces handoff by bundling CAD import and meshing tools with coupled physics study sequencing.
Teams that must preserve boundary-condition context for review and comparisons
Cadence Fidelity keeps boundary condition context linked to runs through its review-oriented results data model so comparisons stay grounded. OpenFOAM keeps reproducibility through the case artifacts themselves, but it does not center the same review data model for attaching boundary context to result outputs.
Manufacturing and equipment teams centered on free-surface and multiphase interface dynamics
FLOW-3D is designed around free-surface and multiphase CFD workflows with stable case setup and convergence monitoring for transient behavior. OpenFOAM can handle complex physics through extensibility, but it commonly demands CFD programming skills for initial setup and debugging when teams push beyond typical workflows.
Piping engineers evaluating pressure loss across networks
Pipe Flow Expert structures studies as network segments so pressure-loss contributions are traceable to valves, fittings, and operating targets. CFD-grade multiphase behavior is often outside its scope, which makes it a better fit for hydraulics-focused analysis than interface-heavy CFD.
Common pitfalls when choosing Fluid Flow Analysis Software
Teams often select tools by capability list rather than by the execution pattern the organization can sustain. Case-control style and integration contracts shape how much effort goes into repeating a study later.
Expecting GUI-style workflow automation and governance controls from text-driven OpenFOAM case control
OpenFOAM’s governance controls are limited compared with GUI-first automation, so teams that need strict admin controls should pair it with automation patterns and governance discipline. OpenFOAM also often requires CFD programming skills for setup and debugging during advanced numerics changes.
Choosing a solver framework for low-level numerical control without planning for configuration-heavy setup
Code_Saturne requires configuration-heavy setup for turbulence, numerics, and boundary conditions, which can slow rollout if staffing is thin. Siemens Simcenter STAR-CCM+ shifts standardization into macros and scripted workflows, which reduces repeat execution effort but raises learning curve for advanced tuning.
Trying to force free-surface and multiphase interface work into a hydraulics-only product
Pipe Flow Expert centers on automatic hydraulics calculation with traceable pressure-loss contributions per network segment. For free-surface and interface dynamics in transient conditions, FLOW-3D is designed around those workflows and convergence monitoring.
Assuming CAD import and meshing controls are equally controllable across multiphysics suites
COMSOL Multiphysics CFD Module includes integrated CAD import and meshing tools but meshing controls can become complex for high-gradient flows. Dassault Systèmes SIMULIA PowerFLOW supports enterprise workflow continuity in the 3ds environment, but advanced meshing control can still require careful setup for complex geometries.
Planning automation without checking solver and version compatibility across scripted workflows
OpenFOAM automation scripts can break when version and solver compatibility assumptions change, which can undermine repeatability. Siemens Simcenter STAR-CCM+ reduces variability through macro-based standardization, but model management can slow teams without disciplined run standards.
How analysts checked Fluid Flow Analysis Software for real CFD workflows
Analysts gathered the named tools and traced each capability claim back to the published material that shows it. Analysts copied each figure next to the passage that states the capability, then compared the figure against official documentation and the changelog for that tool.
When a cited independent review appeared, analysts aligned the cited statements with that independent source to keep each included claim tied to the same behavior. OpenFOAM received special attention for repeatable CFD automation through diffable text dictionaries that drive solver behavior across study iterations.
Frequently Asked Questions About Fluid Flow Analysis Software
How does OpenFOAM case-file configuration change iteration work compared with STAR-CCM+?
Which tool fits multiphase and free-surface CFD when transient interface dynamics matter?
What breaks first when a team expects Pipe Flow Expert-style pressure-loss outputs from a CFD solver?
Where does Code_Saturne fall short versus COMSOL for coupled physics workflows?
When does Autodesk CFD become a better fit than OpenFOAM for geometry-driven studies?
How do Cadence Fidelity and PowerFLOW differ in handling collaboration and review artifacts?
What integration and automation capabilities matter most when CFD results must plug into an engineering pipeline?
How do admin controls and auditability typically differ between OpenFOAM workflows and review-oriented platforms?
How should teams plan data migration when moving CFD results between COMSOL and Cadence Fidelity?
What extensibility tradeoff appears when choosing OpenFOAM versus Code_Saturne for numerical customization?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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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