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RecruitingNCT07461636ROBOTICSSUpdated Mar 10, 2026

Robotic-Assisted Pedicle Screw Placement in Spine Surgery

An observational study in Pedicle Screw Fixation of Spine, sponsored by Uppsala University. Recruiting at 9 sites in Sweden. Per ClinicalTrials.gov, last updated 2026-03-10.

Sponsored by Uppsala University · Observational

From the registry’s dates

  • Started Feb 2026; still recruiting 9 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
7,200
Sex
All
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Study summary

This prospective multicenter observational cohort study evaluates robotic-assisted pedicle screw placement compared with non-robotic-assisted techniques in spinal surgery. Primary objectives include screw placement accuracy, operative learning curve, and reoperation rate within 2 years.

Read the detailed description

Pedicle screw fixation is widely used in spinal surgery. Screw misplacement may cause complications and reoperations. Robotic-assisted systems aim to improve accuracy and workflow; however, high-quality real-world evidence regarding long-term clinical outcomes and cost-effectiveness remains limited.

This nationwide cohort study includes consecutive patients undergoing spinal surgery with pedicle screws. Exposure is robotic-assisted versus non-robotic-assisted (navigation-assisted or freehand) screw placement. Data capture is made from registries, radiographs and hospital data. Follow-up is up to 2 years for the primary outcomes and up to 5 years for the secondary outcomes.

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Conditions studied

  • Pedicle Screw Fixation of Spine

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Keywords

  • Robotic assisted
  • Pedicle screws
  • Spinal implants
  • Spinal disorder
  • Spine
  • Surgery
  • Surgical technique
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In context

Spinal Diseases

174 studies on the registry are indexed under Spinal Diseases; 39 are open to participants now.

This study's planned enrollment of 7,200 is above the median of 117 across 64 observational studies indexed under Spinal Diseases.

Browse Spinal Diseases studies →

Lead sponsor

Uppsala University is the lead sponsor of 390 studies on the registry; 86 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Swedish residents undergoing spine surgery in Sweden

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Treatment with pedicle screws in the cervical, thoracic, lumbar spine and/or sacrum.
  • All ages and spinal diagnoses

Exclusion criteria

Exclusion Criteria:

  • Treatment without pedicle screws
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
7,200 participants (estimated)
Target follow-up
5 Years
Patient registry
Yes

Groups and cohorts

  • Robotic-assisted pedicle screw placement

    Robotic-assisted pedicle screw placement using commercially available robotic systems

    Device: Robotic-assisted pedicle screw placement

  • Conventional pedicle screw placement

    Conventional pedicle screw placement using navigation-assisted or freehand techniques

Interventions

  • DeviceRobotic-assisted pedicle screw placement

    Robotic-assisted pedicle screw placement using commercially available robotic systems

06

What researchers measure

Primary outcomes

  1. Proportion of patients in which at least one pedicle screw is not accurately placed (substudy 1)

    Accurate screw placement is defined as a pedicle screw that remains entirely within the cortical boundary of the pedicle, or with up to 2 mm breach of the pedicle wall (corresponds to Gertzbein-Robbins Grade A and B), assessed on a computed tomography. To evaluate screw placement accuracy, we will define a binary per-patient outcome: whether at least one screw is not accurately placed. The planned sample size for this substudy is 75 patients in the robotic-assisted surgery group, and 426 patients in the non-robotic-assisted group, for a total of 501 patients. For this outcome, previously treated cases may be included as specified in the approved protocol.

    Time frame: Periprocedural

  2. Learning curve (substudy 2)

    To evaluate the learning curve associated with robotic-assisted surgery, we will model operative time as a function of case number. Operative time is expected to decrease with experience, then plateau. We will use mixed-effects piece-wise linear regression with the surgeon as a random effect to estimate the case number at which operative time levels off. The sample size in this substudy is 100 robotic-assisted spine surgeries in each of the 3 centers currently using robotic-assisted spine surgery (Umeå, Örebro, Uppsala), in total 300 surgeries. For this outcome, previously treated cases may be included as specified in the approved protocol.

    Time frame: Periprocedural

  3. Reoperation rate at 2 years (substudy 3)

    The primary outcome is the occurrence of reoperations of any cause within 2 years from the index surgery. The expected reoperation rate in the non-robotic group is likely to be higher than 3-5% over a 2-year period, and may in the robotic-assisted group be 1% or less. A difference of 2 percentage points or greater is considered clinically meaningful. Power analyses (80% power, alpha 0.05) have been made in two scenarios, with reoperation rates of 3% vs 1%, or 5% vs 3%. We estimate a ratio of 1:6 for robotic-assisted surgery vs navigation-assisted or free hand surgeries. Comparing 3% and 1% reoperation rates, 420 robotic-assisted surgery patients and 2,520 non-robotic surgery patients are needed (yielding a total sample size of 2,940 patients). In case reoperation rates are 5% and 3%, 866 robotic-assisted surgery patients and 5,196 non-robotic surgery patients are needed (yielding a total sample size of 6,062 patients).

    Time frame: From enrolment up until 2 years after surgery

Secondary outcomes

  1. Screw placement precision

    We will evaluate screw placement precision as the deviation between preoperative planning and actual placement in robotic-assisted surgery cases. For each screw, linear deviation (at the tip and tail) perpendicular from the planned position, to the actual position, and angular deviation between the planned position and the actual position will be measured. This comparison will be made on an overlay of the preoperative planning made on a preoperative computed tomography, and compared with the computed tomography performed intra- or postoperative for assessment of pedicle screw position

    Time frame: Periprocedural

  2. Length of stay

    Inhospital stay (days) for the index surgery

    Time frame: Periprocedural

  3. Time to return to work

    Time to return to work from the enrolment, which is the time for the index surgery

    Time frame: From surgery until 2 years after surgery

  4. Health economic analysis

    Time frame: From enrollment until the two-year follow-up

  5. EQ-VAS

    Health related quality of life measured with EQ-VAS (ranges from 0 (worst) to 100 (best))

    Time frame: At the one-year follow-up

  6. EQ-5D

    Quality of life assessed with EQ-5D, converted into an index, ranging from around 0 (worst) to 1 (best)

    Time frame: At the one-year follow-up

  7. Proportion of patients achieving the patient acceptable symptom state (PASS) for EQ-VAS

    PASS EQ-VAS is for elective patients 75 or more, and for non-elective patients 65 or more. EQ-VAS ranges from 0 (worst) to 100 (best)

    Time frame: At the one-year follow-up

  8. Adverse events- thromboembolic and cardiovascular complications

    Number (proportion) of thromboembolic events and cardiovascular complications will be assessed as secondary safety outcomes.

    Time frame: From enrolment until the 2 year follow-up

  9. Adverse events- mortality

    Mortality will be assessed as a secondary safety outcome.

    Time frame: From enrolment until the 2 year follow-up

07

Study locations

9 of 9 sites recruiting
08

References and documents

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No — Individual participant data underlying the results reported in this study will not be publicly shared. Under Swedish law, registry-based health data are protected by the General Data Protection Regulation (GDPR). Sharing of individual-level data requires a valid ethical approval from the Swedish Ethical Review Authority and a formal data-sharing agreement with the data-holding authority. Researchers who obtain appropriate ethical approval and fulfill Swedish legal requirements may request access to relevant data from the responsible data controller. Such requests will be evaluated in accordance with national legislation and institutional policies. The study investigators will share aggregated results and statistical code upon reasonable request.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 10, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07461636
Lead sponsor
Uppsala University
Collaborators
Uppsala University Hospital, Ôrebro University Hospital, Umeå University, University Hospital, Umeå, Karolinska Institutet, Karolinska University Hospital, Stockholm South General Hospital, Sahlgrenska University Hospital, University of Linköping, University Hospital, Linkoeping, Lund University, Skane University Hospital, Länssjukhuset Ryhov, Länssjukhuset Kalmar, Örebro University, Sweden, Göteborg University
Responsible party
Sponsor
First posted
Mar 10, 2026
Start date
Feb 2, 2026
Primary completion
Feb 2, 2032 (estimated)
Completion
Feb 2, 2035 (estimated)
Last update
Mar 10, 2026

Study contacts

Paul Gerdhem, MD, PhD
Contact
paul.gerdhem@uu.se
+46(0)186110000
Luigi Belcastro, RN
Contact
luigi.belcastro@uu.se
+46(0)184710000

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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