Evidence map›Paper›PMID 31325049›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2019

The incidence of myocardial infarction after lumbar spine surgery.

Brett Harwin, Blake Formanek, Mark Spoonamore, Djani Robertson, Zorica Buser, Jeffrey C Wang

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  7. The Michel Benoist and Robert Mulholland yearly European spine journal review: a survey of the "medical" articles in European spine journal, 2019.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Brett HarwinDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1450 San Pablo St, HC4 - #5400A, Los Angeles, CA, 90033, USA.
Blake FormanekDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1450 San Pablo St, HC4 - #5400A, Los Angeles, CA, 90033, USA.
Mark SpoonamoreDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1450 San Pablo St, HC4 - #5400A, Los Angeles, CA, 90033, USA.
Djani RobertsonDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1450 San Pablo St, HC4 - #5400A, Los Angeles, CA, 90033, USA.
Zorica BuserDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1450 San Pablo St, HC4 - #5400A, Los Angeles, CA, 90033, USA. zbuser@usc.edu.ORCID http://orcid.org/0000-0002-5680-0643
Jeffrey C WangDepartment of Orthopaedic Surgery, Keck School of Medicine, University of Southern California, 1450 San Pablo St, HC4 - #5400A, Los Angeles, CA, 90033, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAs the population continues to age, the number of lumbar spine surgeries continues to increase. While there are many complications associated with lumbar surgeries, a myocardial infarction (MI) is a particularly devastating one. This complication is of considerable importance with mortality rates of postoperative MI documented between 26.5 and 70%. This study aimed to determine the relationship between lumbar surgeries, preoperative diagnoses (risk factors), and myocardial infarction.

methodsData from the Humana database (PearlDiver) were analyzed from 2007 to 2016. Patients undergoing lumbar spine surgeries were identified and stratified based on procedural approach, patient demographics, and preoperative risk factors. Each group was analyzed to determine the incidence and relative risk. Chi-square analysis was used to determine the significance.

resultsA total of 105,505 patients who fit inclusion criteria were identified in the PearlDiver database between 2007 and 2016. A total of 644 patients (0.63%) experienced a postoperative myocardial infarction within 30 days of surgery. Patients undergoing fusion and non-fusion procedures showed significantly different rates of postoperative myocardial infarction (0.08% vs. 0.05%, p < 0.01). Male patients, older patients, and patients with a Charlson comorbidity index > 3 showed a considerable increase in incidence (p < 0.01). Furthermore, patients with preoperative risk factors (high cholesterol, obesity, depression, congestive heart failure, hypertension, and hypotension) exhibited risk ratios from 0.01 to 1.85 (p < 0.01).

conclusionPreoperative risk factors, patient demographics, and procedure type had a significant effect on the incidence of postoperative myocardial infarction. These slides can be retrieved under Electronic Supplementary Material.

Indexed as

Orthopedic ProceduresAgedAged, 80 and overDatabases, FactualFemaleHumansIncidenceLumbar VertebraeMaleMiddle AgedMyocardial InfarctionOdds RatioPostoperative ComplicationsRisk FactorsDatabaseLumbar spineMyocardial infarctionRisk factorsSurgery

Identifiers

PMID31325049

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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.