Evidence map›Paper›PMID 38312264›Full record

ArticleJSES international2024

Shoulder arthroscopy in elderly patients: malnutrition and early postoperative outcomes.

Steven H Liu, Patricia Cerri-Droz, Rachel A Loyst, 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 20% 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, 4 citations in OpenAlex.

  1. Outcomes of Arthroscopic Rotator Cuff Repair after Bariatric Surgery.Orthopaedic journal of sports medicine · 2026
    Article
  2. Article
  3. 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.

Steven H LiuRenaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Patricia Cerri-DrozRenaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Rachel A LoystRenaissance School of Medicine, 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 School · USStony Brook University · 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 malnutrition risk index, and 30-day postoperative complications following shoulder arthroscopy. Methods: The American College of Surgeons National Surgical Quality Improvement Program database was used to identify all patients aged ≥65 years who underwent shoulder arthroscopy between 2015 and 2021. The study population was indexed into 3 cohorts of preoperative GNRI: normal/reference (GNRI >98), moderate malnutrition (92≤ GNRI ≤98), and severe malnutrition (GNRI <92). Multivariate logistic regression analysis was conducted to investigate the connection between preoperative GNRI and postoperative complications. Results: Severe malnutrition was independently significantly associated with a greater likelihood of any complication (odds ratio [OR]: 11.70, 95% confidence interval [CI]: 8.58-15.94; Conclusion: GNRI-based malnutrition is strongly predictive of perioperative complications following shoulder arthroscopy in geriatric patients and has utility as an adjunctive risk stratification tool.

Indexed as

ArthroscopyComplicationsGeriatricGeriatric nutritional risk indexMalnutritionPerioperativeShoulder

Identifiers

PMID38312264
PMCPMC10837690
OpenAlexW4387159227

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.