Evidence map›Paper›PMID 36199508›Full record

ArticleShoulder & elbow2022

Thirty-day morbidity and mortality following primary total elbow arthroplasty in octogenarians.

Puneet Gupta, Theodore Quan, Joseph E Manzi, Zachary R Zimmer

Open access · greenAbstract read
In one paragraph

Article in Shoulder & elbow, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Elbow Arthroplasty: A Concise Literature Update.The archives of bone and joint surgery · 2023
    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

4 authors at 2 institutions in 1 country.

Puneet GuptaDepartment of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.ORCID https://orcid.org/0000-0001-8274-6970
Theodore QuanDepartment of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.ORCID https://orcid.org/0000-0001-8730-0804
Joseph E ManziWeill Cornell Medical College, New York, NY, USA.ORCID https://orcid.org/0000-0002-8825-0105
Zachary R ZimmerDepartment of Orthopaedic Surgery, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
George Washington University · USCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Octogenarians are at an increased risk of morbidity and mortality following various orthopaedic procedures, but this has not been explored among total elbow arthroplasty (TEA) patients. Thus, this study analyzed whether octogenarians undergoing TEA are at an increased risk of postoperative complications relative to the younger geriatric population. Methods: A national database was queried to identify TEA patients. Patients were stratified into an aged 65 to 79 cohort and an aged 80 to 89 cohort. Demographics, comorbidities, and complications were assessed, with the use of bivariate and multivariate analyzes. Results: In total, 390 patients underwent TEA, with 289 (74.1%) between the ages of 65 to 79 and 101 (25.9%) between the ages of 80 to 89. On bivariate analyzes, patients aged 80 to 89 were more likely to undergo postoperative transfusion ( Discussion: Age greater than 80 should not be used as an independent factor when evaluating whether a geriatric patient is an appropriate candidate for TEA.

Indexed as

complicationsgeriatricsoctogenarianstotal elbow arthroplasty

Identifiers

PMID36199508
PMCPMC9527482
OpenAlexW4210371426

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.