Evidence map›Paper›PMID 40969243›Full record

ArticleLaryngoscope investigative otolaryngology2025

Nutritional Status and Outcomes Following Open Laryngeal Surgery for Laryngeal Cancer: A NSQIP Database Study.

Emma R Thompson, Nour Abdel-Azim, Kenneth Yan

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Emma R ThompsonDepartment of Otolaryngology-Head and Neck Surgery Rutgers New Jersey Medical School Newark New Jersey USA.ORCID https://orcid.org/0009-0009-2510-7043
Nour Abdel-AzimDepartment of Otolaryngology-Head and Neck Surgery Rutgers New Jersey Medical School Newark New Jersey USA.ORCID https://orcid.org/0009-0006-6153-9239
Kenneth YanDepartment of Otolaryngology-Head and Neck Surgery Rutgers New Jersey Medical School Newark New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Malnutrition and weight loss in patients with laryngeal cancer impair immune function and wound healing. Understanding how underweight status impacts outcomes is crucial to improving care. Accordingly, we evaluated perioperative outcomes of patients undergoing laryngectomy for laryngeal cancer, with a secondary focus on patients with recent unintentional weight loss. Methods: This retrospective cohort study used the American College of Surgeons National Surgical Quality Improvement Program database. CPT codes were used to identify patients undergoing open total or partial laryngectomies for cancer. Only those with underweight (< 18.5) or normal weight (18.5-29.9) BMIs were included. A subgroup analysis assessed patients with recent unintentional weight loss. Univariate and multivariate analyses were performed, with significance set at Results: 2012 patients were analyzed: 276 underweight (79 female, 197 male) and 1736 normal weight (306 female, 1430 male). Age distribution among underweight patients was 2.5% (ages 20-44), 76.1% (ages 45-69), and 21.4% (ages 70-90), compared to 2.9%, 66.7%, and 30.1%, respectively, in normal-weight patients. Underweight patients were more likely to experience medical complications ( Conclusion: Underweight status and recent weight loss are associated with heightened risks of perioperative medical complications and transfusions. Preoperative optimization may enhance surgical recovery and outcomes. Level of Evidence: Level 3.

Indexed as

laryngeal cancernutritional statusperioperative optimizationwound healing

Identifiers

PMID40969243
PMCPMC12442250

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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.