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Randomization is a draw: chance, not the surgeon, decides which treatment each patient receives. It is the only feature of a study design that balances the factors nobody thought to measure.

30-second summary
  • Randomization balances known and unknown factors between groups.
  • Allocation concealment protects the draw from being anticipated.
  • Alternating patients or using chart numbers is not randomization.
Eligible patientsinclusion criteria met
Allocation sequencecomputer-generated
Concealed allocationcentral or opaque envelopes
Groupsintervention vs control
Analysisby intention to treat
The sequence is generated before recruitment starts and stays hidden from whoever enrolls the patient.
1

Simple randomization

A single draw for every patient, like tossing a coin. Straightforward, but in small trials it can leave groups of very different sizes.

2

Block randomization

The draw runs inside blocks — of four or six, for example — so the groups stay balanced in size throughout recruitment. Block size should vary and stay unknown to the recruiting team.

3

Stratified randomization

Separate draws within strata that matter for the outcome (centre, stage, age band), so a prognostic factor cannot pile up in one arm.

4

Cluster randomization

The unit drawn is a hospital, ward or surgeon rather than a patient. It requires a larger sample and an analysis that accounts for clustering.

✓ Randomization: sequence generated in software, kept in a central service or in sealed, opaque, sequentially numbered envelopes.
✗ Not randomization: alternating patients, odd and even chart numbers, day of the week, or date of birth — all of them can be anticipated.
Concealment is not blinding. Blinding hides which treatment was given after allocation; concealment hides what the next allocation will be before the patient enters. A trial can be impossible to blind — most surgical trials are — and still have flawless concealment.

Frequently asked questions

Can a surgical trial be randomized?

Yes, and ABCD publishes several. What changes is blinding: with objective outcomes and blinded assessors, a surgical trial remains valid even when patient and surgeon know the procedure.

Should I test baseline differences with p-values?

No. If the allocation was random, any difference is due to chance by definition. Describe the groups, and adjust for prognostic variables that were defined in the protocol.

What if one group ends up larger?

With simple randomization this is expected in small samples. Block randomization prevents it; unequal sizes alone do not invalidate the trial.

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Written by Francisco Tustumi, digestive system surgeon (FMUSP), associate editor of ABCD.

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ABCD – BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY is a periodic with a single annual volume in continuous publication, official organ of the Brazilian College of Digestive Surgery - CBCD. Technical manager: Dr. Francisco Tustumi | CRM: 157311 | RQE: 77151 - Cirurgia do Aparelho Digestivo

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