Evidence map›Paper›PMID 30621737›Full record

ArticleJournal of orthopaedic surgery and research2019

Early postoperative complications and discharge time in diabetic patients undergoing total shoulder arthroplasty.

Brandon E Lung, Michael Bisogno, Shrey Kanjiya, David E Komatsu, Edward D Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Insulin dependence as an independent predictor of complications following surgical treatment of distal radius fracture.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
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  17. Periprosthetic Infection After Reverse Shoulder Arthroplasty: a Review.Current reviews in musculoskeletal medicine · 2020
    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

5 authors at 2 institutions in 1 country.

Brandon E LungSchool of Medicine, Stony Brook University, Stony Brook, NY, USA.
Michael BisognoDepartment of Orthopaedics, Stony Brook University Medical Center, HSC T-18, Room 080, Stony Brook, NY, 11794-8181, USA.
Shrey KanjiyaDepartment of Orthopaedics, Stony Brook University Medical Center, HSC T-18, Room 080, Stony Brook, NY, 11794-8181, USA.
David E KomatsuDepartment of Orthopaedics, Stony Brook University Medical Center, HSC T-18, Room 080, Stony Brook, NY, 11794-8181, USA.
Edward D WangDepartment of Orthopaedics, Stony Brook University Medical Center, HSC T-18, Room 080, Stony Brook, NY, 11794-8181, USA. Edward.Wang@sbumed.org.
Stony Brook University Hospital · USStony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWith the increasing elderly population and obesity epidemic, diabetes is an important factor in arthroplasty planning. Although research suggests diabetes is associated with increased postoperative morbidity after hip and knee replacement, the effect of diabetes and varying management with insulin versus non-insulin agents on total shoulder arthroplasty (TSA) is not established.

methodsAll TSAs from 2015 to 2016 were queried from the American College of Surgeons National Surgical Quality Improvement Program database. Age, gender, BMI, steroid, ASA, operative time, and smoking status were compared between all diabetics, diabetics on insulin, diabetics on non-insulin agents, and non-diabetics to account for confounding variables. Thirty-day postoperative complications, readmission rate, surgical site infection (SSI), and non-routine discharge to rehabilitation were compared using bivariate and multivariate binary logistic regression. Postoperative time to discharge between diabetic groups was analyzed using univariate ANOVA with Tukey's test.

resultsThe analysis included 7246 patients (insulin in 5% (n = 380), non-insulin in 13% (n = 922), and non-diabetics in 82% (n = 5944)). Diabetics were more likely to have an ASA ≥ 3 compared to non-diabetics (89.5% vs 50.1%; p < 0.001). Bivariate logistic regression showed statistical significance in readmission and non-routine discharge between all diabetics and non-diabetics (OR 1.7, 1.4; p = 0.001, 0.001), but there was no significance between SSI rate (0.3% vs 0.4%; p = 0.924). Multivariate logistic regression between groups showed significance in readmission between non-insulin diabetics vs non-diabetics (OR 1.5; p = 0.027), readmission and non-routine discharge in insulin vs non-diabetics (OR 2.1, 1.7; p = 0.003, < 0.001), and no significance between insulin and non-insulin diabetics. Postoperative days to discharge were 2.4, 2.0, and 1.8 days in insulin, non-insulin, and non-diabetics respectively. Mean differences were significant between all groups.

conclusionsDiabetic patients are at a higher risk for readmission and non-routine discharge compared to non-diabetics. Despite no increased risk in SSI, longer postoperative discharge time in diabetics should be considered in TSA planning.

trial registrationNot applicable LEVEL OF EVIDENCE: Level III, case-control study.

Indexed as

AgedArthroplasty, Replacement, ShoulderDiabetes MellitusFemaleHumansMaleMiddle AgedPatient DischargePostoperative ComplicationsRetrospective StudiesTime FactorsDiabetes mellitusInsulinOutcomesPostoperative complicationsReadmissionTotal shoulder arthroplasty

Identifiers

PMID30621737
PMCPMC6325881
OpenAlexW2920317032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.