Evidence map›Paper›PMID 36436090›Full record

GuidelineEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2023

Surgeon confidence in planning total shoulder arthroplasty improves after consulting a clinical decision support tool.

Chelsey S Simmons, Christopher Roche, Bradley S Schoch, Moby Parsons, William R Aibinder

Abstract readPractice Guideline
PubMed Publisher
In one paragraph

Guideline in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Initial clinical experience with a predictive clinical decision support tool for anatomic and reverse total shoulder arthroplasty.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    Article
  6. Article
  7. Article
  8. Article
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

5 authors at 5 institutions in 1 country.

Chelsey S SimmonsUniversity of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0001-6973-9813
Christopher RocheExactech, Gainesville, FL, USA.
Bradley S SchochDepartment of Orthopedic Surgery, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-9355-5069
Moby ParsonsThe Knee Hip and Shoulder Center, Portsmouth, NH, USA.
William R AibinderDepartment of Orthopaedic Surgery, University of Michigan, Ann Arbor, MI, USA. waibinde@med.umich.edu.ORCID http://orcid.org/0000-0001-7620-426X
Exactech (United States) · USPortsmouth Regional Hospital · USUniversity of Florida · USUniversity of Michigan · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSoftware algorithms are increasingly available as clinical decision support tools (CDSTs) to support shared decision-making. We sought to understand if patient-specific predictions from a CDST would impact orthopedic surgeons' preoperative planning decisions and corresponding confidence.

methodsWe performed a survey study of orthopedic surgeons with at minimum of 2 years of independent shoulder arthroplasty experience. We generated patient profiles for 18 faux cases presenting with glenohumeral osteoarthritis and emailed 93 surgeons requesting their recommendation for anatomic or reverse total shoulder arthroplasty for each case and their certainty in their recommendation on a 4-point Likert scale. The thirty respondents were later sent a second survey with the same cases that now included predicted patient-specific outcomes and complication rates generated by a CDST.

resultsInitial recommendations and changes in recommendation varied widely by surgeon and by case. After viewing the results of the CDST, surgeons switched from anatomic to reverse recommendations in 46 instances (12% of initial anatomic) and from reverse to anatomic in 22 instances (6% of initial reverse). Overall, surgeon change in confidence increased significantly across all responses (p = 0.0001), with certain cases and certain surgeons having significant changes. Change in confidence did not correlate with surgeon-specific factors, including years in practice.

conclusionThe addition of CDST reports to preoperative planning for anatomic and reverse total shoulder arthroplasty informed decision-making but did not direct recommendations uniformly. However, the CDST information provided did increase surgeon confidence regardless of implant selection and irrespective of surgeon experience.

Indexed as

Arthroplasty, Replacement, ShoulderDecision Support Systems, ClinicalOsteoarthritisShoulder JointSurgeonsHumansRetrospective StudiesTreatment OutcomeMachine learningPatient-specific predictionsPredictionPredictivePreoperative planningShoulder replacement

Identifiers

PMID36436090
OpenAlexW4310276600

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.