Evidence map›Paper›PMID 36353420›Full record

ArticleJSES international2022

A novel comorbidity risk score for predicting postoperative 30-day complications in total shoulder arthroplasty and elucidation of potential racial disparities.

Robby D Turk, Lambert T Li, Sundeep Saini, Meghan MacAskill, Glen Ross, Sarav S Shah

Open access · goldAbstract read
In one paragraph

Article in JSES international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. J. Robert Gladden Orthopaedic Society Research Grants: What is the Return on Investment?Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Article
  2. Article
  3. Patient Health Care Disparities in Shoulder Arthroplasty.Current reviews in musculoskeletal medicine · 2025
    Review
  4. Article
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Robby D TurkDepartment of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute, Charlotte, NC, USA.
Lambert T LiDepartment of Orthopaedic Surgery, New England Baptist Hospital, Boston, MA, USA.
Sundeep SainiDepartment of Orthopaedic Surgery, New England Baptist Hospital, Boston, MA, USA.
Meghan MacAskillNew England Shoulder and Elbow Center, Brighton, MA, USA.
Glen RossDepartment of Orthopaedic Surgery, New England Baptist Hospital, Boston, MA, USA.
Sarav S ShahDepartment of Orthopaedic Surgery, New England Baptist Hospital, Boston, MA, USA.
New England Baptist Hospital · USOrthoCarolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Efficient and effective preoperative identification of those patients with elevated risk may allow for more cost-effective interventions, accurate bundled payment adjustments, and overall improved patient care. Few comorbidity indices have provided clinical utility and adequate discriminative ability in the setting of complications after shoulder arthroplasty (SA). Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried for anatomic and/or reverse SA procedures between 2010 and 2019. A subset of comorbidities were utilized including end-stage renal disease, history of hypertension, chronic obstructive pulmonary disease, functional status, history of bleeding disorder, and disseminated cancer. Results: A total of 25,927 patients with an average age of 69.2 (standard deviation ±9.5) years were included in the study. Patients with a comorbidity risk score (CRS) at or above 2 were indicated to have at least a 29.6% 30-day postoperative complication rate after undergoing total shoulder arthroplasty, significantly higher than the described average of approximately 15%. The area under receiver operator curve for the novel CRS scoring system was 0.595, indicating fair discriminative ability to predict 30-day postoperative complications after SA. This illustrates a discriminative ability similar to that of the American Society of Anesthesiologists classification (0.584, confidence interval [CI] 0.578-0.589), modified Charlson Comorbidity Index (0.567, CI 0.561-0.573), and modified Frailty Index (0.534, CI 0.529-0.539), each of which are common comorbidity indices used for the National Surgical Quality Improvement Program database. The average CRS for the population was 0.8537 (CI 0.8011-0.8150; Discussion and Conclusion: A higher CRS score resulted in higher rates of 30-day postoperative complications following SA. Black patients had a higher average CRS than all other races illustrating a racial disparity in comorbidity risk. Although the average complication rate of each race would still be unequal, this could mitigate some of the racial disparities observed and decrease the overall 30-day complication rate in SA. With the rise of bundled payments further increasing the need to preoperatively identify patients at high risk for costly complications, the CRS is based on easily identified, relevant comorbidities that may be an advantageous tool to identify patients at increased risk of complications following SA.

Indexed as

Bundle paymentComorbidity risk ScoreComplicationsHealth disparitiesRacial disparitiesShoulder arthroplasty

Identifiers

PMID36353420
PMCPMC9637582
OpenAlexW4295923493

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.