ArticleSeminars in arthroplasty2023
Impact of COVID-19 on clinical outcomes following total shoulder arthroplasty.
Article in Seminars in arthroplasty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Influenza infection has higher risk of postoperative complications than COVID-19 in shoulder arthroplasty patients.Shoulder & elbow · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The coronavirus (COVID-19) pandemic has introduced patient stressors and changes to perioperative protocols in total shoulder arthroplasty (TSA). The purpose of this study is to evaluate the short-term effects of the COVID-19 pandemic on various patient outcomes and satisfaction following elective TSA. Methods: A retrospective review was performed on 147 patients who underwent primary TSA at a single institution between June 2019 and December 2020. Patients were divided into 2 cohorts: pre-COVID (June 2019-March 2020; n = 74) and post-COVID (April 2020-December 2020; n = 73). No elective TSA were performed between 10 March 2020 and 23 April 2020 at our institution. Data were collected prospectively both pre- and postoperatively. Range of motion (ROM) testing included active abduction, internal rotation, and external rotation. Patient reported outcome measures (PROMs) included global shoulder function, Simple Shoulder Test, American Shoulder and Elbow Surgeons, Visual Analog Scale pain scoring systems, and patient satisfaction. ROM and PROMs were compared at preoperative, 3-month follow-up, and 12-month follow-up intervals. Operative time, length of stay (LOS), 90-day readmission, and 90-day reoperation were also compared. Results: There were no differences in baseline patient characteristics. The operative time, LOS, home discharge rate, readmission, and reoperation did not differ between groups. For both cohorts, the PROMs and ROM improved at each follow-up visit postoperatively. While preoperative abduction, internal rotation, and external rotation were significantly greater in the post-COVID group, all ROM measures were similar at 3-month and 12-month follow-up visits. There was no difference in pain, global function, Simple Shoulder Test, American Shoulder and Elbow Surgeons, or patient satisfaction between groups at all time intervals. Conclusions: Patients undergoing elective TSA amidst the COVID-19 pandemic demonstrate excellent PROMs, ROM, and high satisfaction up to 12-months postoperatively that are comparable to pre-pandemic standards. Operative time, LOS, discharge destination, as well as 90-day readmission and reoperation rates were not impacted by the pandemic. Patients can expect similar outcomes for TSA when comparing pre-COVID to post-COVID as the pandemic continues.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.