Evidence map›Paper›PMID 35908806›Full record

ArticleInternational journal of spine surgery2022

Predicting Acute Changes in Depressive Symptoms Following Lumbar Decompression.

Conor P Lynch, Elliot D K Cha, Madhav R Patel, Kevin C Jacob, Shruthi Mohan, Cara E Geoghegan, Caroline N Jadczak, Kern Singh

Open access · diamondAbstract 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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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Conor P LynchDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Elliot D K ChaDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Madhav R PatelDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Kevin C JacobDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Shruthi MohanDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Cara E GeogheganDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Caroline N JadczakDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA.
Kern SinghDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, USA kern.singh@rushortho.com.
Rush University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile depressive symptoms improve for most patients following minimally invasive lumbar decompression (MIS LD), for some, symptoms may worsen. This study aimed to investigate predictors of change in depressive symptoms in the short-term postoperative period following MIS LD.

methodsWe retrospectively analyzed a prospective surgical database for patients undergoing primary MIS LD procedures from 2016 to 2020. Preoperative pain (visual analog scale back and leg) scores were recorded, and the 9-Item Patient Health Questionnaire (PHQ-9) was administered at the preoperative and postoperative (6 weeks, 12 weeks, 6 months, and 1 year) timepoints. Patients were grouped into 1 of 3 categories of depression severity based on preoperative PHQ-9 scores: minimal (0-4), mild (5-9), and moderate to severe (10-27). Postoperative change in depressive symptoms was calculated by determining differences from baseline scores to scores at 6 weeks, 12 weeks, and 6 months. Analysis of demographics, perioperative characteristics, and spinal pathologies was conducted using

resultsThe 216 patients included had a mean age of 48 years, and a majority were men (70.4%). Most patients had a preoperative diagnosis of spinal stenosis (90.3%) or herniated nucleus pulposus (69.9%). Univariate analysis identified age, ethnicity, insurance, and diabetes as significant variables among depression severity groups. Patients demonstrated significant improvements in depressive symptoms at all postoperative timepoints (

conclusionDepression improved at all postoperative timepoints following LD. Insurance type, smoking status, and preoperative depression severity were all identified as significant predictors of postoperative changes in depressive symptoms. CLINICAL RELEVANCE: This study explores predictors of changes in depressive symptoms following LD. LEVEL OF EVIDENCE: 3:

Indexed as

9-Item Patient Health Questionnaire (PHQ-9)acutedepressionlumbar decompression (LD)postoperative

Identifiers

PMID35908806
PMCPMC9807053
OpenAlexW4289101439

What OpenQuestion holds

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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.