Evidence map›Paper›PMID 38312291›Full record

ArticleJSES international2024

The geriatric nutritional risk index as a strong predictor of adverse outcomes following total shoulder arthroplasty.

Steven H Liu, Patricia Cerri-Droz, Rachel A Loyst, Brandon Lung, Kevin Kashanchi, 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

7 authors at 4 institutions in 1 country.

Steven H LiuRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Patricia Cerri-DrozRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Rachel A LoystRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Brandon LungDepartment of Orthopaedic Surgery, University of California Irvine, Orange, CA, USA.
Kevin KashanchiDepartment of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA, 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 School · USStony Brook University · USKeck Hospital of USC · USUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates the association between the Geriatric Nutritional Risk Index (GNRI), a simple readily available measure of malnutrition risk, and 30-day postoperative complications following total shoulder arthroplasty (TSA). Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried for all patients who underwent TSA between 2015 and 2021. The study population was divided into 3 groups based on preoperative GNRI: normal/reference (GNRI > 98), moderate malnutrition (92 ≤ GNRI ≤ 98), and severe malnutrition (GNRI < 92). Logistic regression analysis was conducted to investigate the connection between preoperative GNRI and postoperative complications. Results: Compared to normal nutrition, moderate malnutrition was independently significantly associated with a greater likelihood of any complications (odds ratio [OR]: 1.74, 95% confidence interval [CI]: 1.54-1.96; Conclusion: Malnutrition based on GNRI is a strong predictor of complications following TSA, with increasing severity related to an increased rate of complications.

Indexed as

ComplicationsGeriatricMalnutritionPostoperativeRisk indexTotal shoulder arthroplasty

Identifiers

PMID38312291
PMCPMC10837724
OpenAlexW4387159203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.