Evidence map›Paper›PMID 38312289›Full record

ArticleJSES international2024

A comprehensive analysis of age and 30-day complications following total shoulder arthroplasty: nonagenarians, octogenarians, and septuagenarians.

Kenny Ling, Richelle P Fassler, Andrew J Nicholson, David E Komatsu, Edward D Wang

Open access · goldAbstract read
In one paragraph

Article in JSES international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Kenny LingDepartment of Orthopaedics, Stony Brook University, Stony Brook, NY, USA.
Richelle P FasslerDepartment of Orthopaedics, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Andrew J NicholsonDepartment of Orthopaedics, Stony Brook University, Stony Brook, NY, USA.
David E KomatsuDepartment of Orthopaedics, Stony Brook University, Stony Brook, NY, USA.
Edward D WangDepartment of Orthopaedics, Stony Brook University, Stony Brook, NY, USA.
Stony Brook University · USStony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increased age is a well-known risk factor for development of osteoarthritis. Total shoulder arthroplasty (TSA) is a common treatment option for patients with severe glenohumeral osteoarthritis. The purpose of this study was to investigate the association between the septuagenarian, octogenarian, and nonagenarian populations and postoperative outcomes following TSA. Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent TSA between 2015 and 2020. Patients were divided into cohorts based on age: sexagenarians (60-69), septuagenarians (70-79), octogenarians (80-89), and nonagenarians (90+). Multivariate logistic regression was used to identify associations between age and postoperative complications. Results: On bivariate analysis, compared to sexagenarians, septuagenarians were significantly associated with higher rates of myocardial infarction ( Conclusion: From age 60, each decade of age was identified to be an increasingly significant predictor for blood transfusion, readmission, and nonhome discharge following TSA. From age 70, each decade of age was additionally identified to be an increasingly significant predictor for mortality.

Indexed as

AgeMortalityNonagenarianOctogenarianReadmissionSeptuagenarianTotal shoulder arthroplasty

Identifiers

PMID38312289
PMCPMC10837721
OpenAlexW4387849368

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.