Evidence map›Paper›PMID 35050806›Full record

ArticleGlobal spine journal2023

Development and Internal Validation of the Postoperative Analgesic Intake Needs Score: A Predictive Model for Post-Operative Narcotic Requirement after Spine Surgery.

Zachary D Johnson, Scott W Connors, Zachary Christian, Olatunde Badejo, Emmanuel Adeyemo, Mark N Pernik, Umaru Barrie, James P Caruso, Benjamin Kafka, Om J Neeley and 6 more

Abstract read
In one paragraph

Article in Global spine journal, 2023. 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. Review
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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

16 authors.

Zachary D JohnsonDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-9413-6256
Scott W ConnorsDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Zachary ChristianDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Olatunde BadejoDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Emmanuel AdeyemoDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Mark N PernikDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-7568-7308
Umaru BarrieDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-0365-7070
James P CarusoDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-5562-6436
Benjamin KafkaDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Om J NeeleyDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Kristen HallDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Tarek Y El AhmadiehDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Nader S DahdalehDepartment of Neurological Surgery, Northwestern University Medical Center, Dallas, TX, USA.
Joan S ReischDepartment of Population and Data Sciences, Division of Biostatistics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Salah G AounDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-3499-7569
Carlos A BagleyDepartment of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective Cohort.

objectiveThe aim of this study was to develop a clinical tool to pre-operatively risk-stratify patients undergoing spine surgery based on their likelihood to have high postoperative analgesic requirements.

methodsA total of 1199 consecutive patients undergoing elective spine surgery over a 2-year period at a single center were included. Patients not requiring inpatient admission, those who received epidural analgesia, those who had two surgeries at separate sites under one anesthesia event, and those with a length of stay greater than 10 days were excluded. The remaining 860 patients were divided into a derivation and validation cohort. Pre-operative factors were collected by review of the electronic medical record. Total postoperative inpatient opioid intake requirements were converted into morphine milligram equivalents to standardize postoperative analgesic requirements.

resultsThe postoperative analgesic intake needs (PAIN) score was developed after the following predictor variables were identified: age, race, history of depression/anxiety, smoking status, active pre-operative benzodiazepine use and pre-operative opioid use, and surgical type. Patients were risk-stratified based on their score with the high-risk group being more likely to have high opioid consumption postoperatively compared to the moderate and low-risk groups in both the derivation and validation cohorts.

conclusionThe PAIN Score is a pre-operative clinical tool for patients undergoing spine surgery to risk stratify them based on their likelihood for high analgesic requirements. The information can be used to individualize a multi-modal analgesic regimen rather than utilizing a "one-size fits all" approach.

Indexed as

multi-modal analgesiaopioid intakepostoperative painspine surgery

Identifiers

PMID35050806
PMCPMC10538320

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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.