Evidence map›Paper›PMID 40756481›Full record

ArticleJournal of craniovertebral junction & spine

Insulin dependence predicts adverse outcomes following lumbar spine surgery.

Haseeb E Goheer, Alden H Newcomb, Zachary M Johnson, Christopher G Hendrix, Alexander R Garcia, Brian Q Truong, Jonathan J Carmouche

Abstract read
In one paragraph

Article in Journal of craniovertebral junction & spine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Haseeb E GoheerDepartment of Orthopaedic Surgery, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA.
Alden H NewcombDepartment of Orthopaedic Surgery, Institute for Orthopaedics and Neurosciences, Roanoke, Virginia, USA.
Zachary M JohnsonDepartment of Orthopaedic Surgery, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA.
Christopher G HendrixDepartment of Orthopaedic Surgery, Institute for Orthopaedics and Neurosciences, Roanoke, Virginia, USA.
Alexander R GarciaDepartment of Orthopaedic Surgery, Institute for Orthopaedics and Neurosciences, Roanoke, Virginia, USA.
Brian Q TruongDepartment of Edward Via College of Osteopathic Medicine, Blacksburg, Virginia, USA.
Jonathan J CarmoucheDepartment of Orthopaedic Surgery, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lumbar spine surgery procedures have been increasing amid a growing population with diabetes mellitus (DM) with limited studies available focusing exclusively on insulin dependence as a risk factor. The objective of this study was to evaluate the differential impact of insulin dependence on perioperative outcomes following lumbar spine surgery. Materials and Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried to retrospectively identify patients who had undergone lumbar spine surgery between 2011 and 2022. The study population was divided into three distinct groups based on diabetic status: insulin-dependent DM (IDDM), insulin-independent DM (NIDDM), and no DM (non-DM). One-way analysis of variance for continuous variables and Chi-square tests for categorical variables were used to identify differences in perioperative variables between the three groups. Multivariable logistic regression analysis assessed the effect of DM status on postoperative surgical outcomes. Results: A total of 349,520 lumbar spine patients were identified, of whom 20,159 were IDDM, 43,402 were NIDDM, and 285,959 were non-DM. Both IDDM (odds ratio [OR]: OR: 1.134, 95% CI [1.059-1.214]) independently increased the risk for surgical complications, whereas only IDDM increased the risk for medical (OR: 1.256, 95% CI [1.194-1.320] complications following a multivariate logistic regression analysis. Conclusions: This study highlights the increased risk of surgical and medical complications in patients with IDDM undergoing lumbar spine surgery. Both NIDDM and IDDM are independent risk factors for postoperative medical and surgical complications. These findings can be used to improve preoperative management and risk stratification for insulin dependent DM patients.

Indexed as

Complicationsdiabetes mellituslumbar spineoutcomesspine

Identifiers

PMID40756481
PMCPMC12313032

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Registered trials

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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.