Evidence map›Paper›PMID 39364113›Full record

ReviewClinics in orthopedic surgery2024

Intraoperative Navigation in Reverse Shoulder Arthroplasty: Advantages and Future Prospects.

Peter Boufadel, Ryan Lopez, Mohamad Y Fares, Mohammad Daher, Dineysh Dhytadak, Lawrence V Gulotta, Joseph A Abboud

Abstract readReview
In one paragraph

Review in Clinics in orthopedic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Evaluation of augmented reality guidance for glenoid pin placement in total shoulder arthroplasty.International journal of computer assisted radiology and surgery · 2025
    Article
  11. Review
  12. Article
  13. Observational
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Peter BoufadelDivision of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-7078-9148
Ryan LopezDivision of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-5757-1782
Mohamad Y FaresDivision of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0001-8228-3953
Mohammad DaherDivision of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-9256-9952
Dineysh DhytadakDivision of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA, USA.
Lawrence V GulottaSports Medicine and Shoulder Service, Hospital for Special Surgery, New York, NY, USA.
Joseph A AbboudDivision of Shoulder and Elbow Surgery, Rothman Orthopaedic Institute, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-3845-7220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraoperative navigation is a novel technology that can provide real-time feedback to the surgeon during implantation and enhance the accuracy and precision of glenoid component positioning. Applications of intraoperative navigation systems have demonstrated increased precision in baseplate version and inclination, as well as improved baseplate screw placement, with fewer screws used and greater purchase length achieved when compared to standard instrumentation. Early clinical studies have shown favorable results, with significantly improved patient-reported and clinical outcomes and decreased complications. The implementation of intraoperative navigation is associated with a short learning curve and a minimal increase in operative time. Nevertheless, further research is necessary to substantiate the clinical benefit of navigation and evaluate its economic cost-effectiveness and impact on implant survival. Augmented reality and robotic-assisted surgery are additional emerging technologies that, while novel, hold the potential to further advance the field of shoulder arthroplasty.

Indexed as

Arthroplasty, Replacement, ShoulderSurgery, Computer-AssistedHumansRobotic Surgical ProceduresShoulder JointAugmented RealityIntraoperative navigationPreoperative planningReverse shoulder arthroplastyRobotic-assisted Surgery

Identifiers

PMID39364113
PMCPMC11444950

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.