Evidence map›Paper›PMID 35613924›Full record

ArticleInternational journal of spine surgery2022

Increasing Nonconcurrent Overlapping Surgery Is Not Associated With Outcome Changes in Lumbar Fusion.

Ali S Farooqi, Austin J Borja, Donald K E D Detchou, Gregory Glauser, Krista Strouz, Scott D McClintock, Neil R Malhotra

Abstract read
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Article in International journal of spine surgery, 2022. 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ali S FarooqiDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.
Austin J BorjaDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.
Donald K E D DetchouDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.
Gregory GlauserDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA.
Krista StrouzMcKenna EpiLog Fellowship in Population Health at the University of Pennsylvania, Philadelphia, USA.
Scott D McClintockThe West Chester Statistical Institute and Department of Mathematics, West Chester University, West Chester, USA.
Neil R MalhotraDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA neil.malhotra@pennmedicine.upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere remains a paucity of literature on the impact of overlap on neurosurgical patient outcomes. The purpose of the present study was to correlate increasing duration of surgical overlap with short-term patient outcomes following lumbar fusion.

methodsThe present study retrospectively analyzed 1302 adult patients undergoing overlapping, single-level, posterior-only lumbar fusion within a single, multicenter, academic health system. Recorded outcomes included 30-day emergency department visits, readmission, reoperation, mortality, overall morbidity, and overall morbidity/surgical complications. The amount of overlap was calculated as a percentage of total overlap time. Comparison was made between patients with the most (top 10%) and least (bottom 40%) amount of overlap. Patients were then exact matched on key demographic factors but not by the attending surgeons. Subsequently, patients were exact matched by both demographic data and the attending surgeons. Univariate analysis was first carried out prior to matching and then on both the demographic-matched and surgeon-matched cohorts. Significance for all analyses was set at a

resultsWithin the whole population, increasing duration of overlap was not correlated with any short-term outcome (

conclusionIncreased amount of overlap is not associated with adverse short-term outcomes for single-level, posterior-only lumbar fusions. CLINICAL RELEVANCE: The present results suggest that increasing the duration of overlap during lumbar fusion surgery does not lead to inferior outcomes. LEVEL OF EVIDENCE: 3:

Indexed as

concurrent surgerylumbar spineoverlapping surgerypatient safetyspinal fusion

Identifiers

PMID35613924
PMCPMC9421210

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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.