Evidence map›Paper›PMID 34084633›Full record

ArticleSurgical neurology international2021

Spine surgery complexity score predicts outcomes in 671 consecutive spine surgery patients.

Ida Azizkhanian, Ryan Alcantara, Zachary Ballinger, Edward Cho, Silvi Dore, Stergios Gatzofilas, Raeesa Habiba Hossain, Jesse Honig, Nicole Matluck, Jonathan V Ogulnick and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Surgical neurology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

19 authors at 3 institutions in 1 country.

Ida AzizkhanianSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Ryan AlcantaraSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Zachary BallingerSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Edward ChoSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Silvi DoreSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Stergios GatzofilasSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Raeesa Habiba HossainSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Jesse HonigSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Nicole MatluckSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Jonathan V OgulnickSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Michael RothbaumSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Iliya RybkinSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Harrison SmithSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Brian TungSchool of Medicine, New York Medical College, Valhalla, New York, United States.
Syed Faraz KazimDepartment of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, United States.
Ivan MillerDepartment of Emergency Medicine, New York Medical College, Valhalla, New York, United States.
Meic H SchmidtDepartment of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, United States.
Chad D ColeDepartment of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, United States.
Christian A BowersDepartment of Neurosurgery, University of New Mexico Hospital, Albuquerque, New Mexico, United States.
University of New Mexico · USNew York Medical College · USUniversity of New Mexico Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe spine surgery complexity score (SSCS), previously reported by us, is a simple grading system to predict postoperative complications and hospital length of stay (LOS). This scale is based on the technical difficulty of the spinal procedures being performed.

methodsWe performed a retrospective chart review to validate SSCS in 671 consecutive patients undergoing spine procedures at a quaternary academic hospital.

resultsThe SSCS was predictive of the hospital LOS and postoperative complications (defined by the ClavienDindo score), based on linear regression analysis (

conclusionCategorizing procedures according to the SSCS may enable neurosurgeons to assess surgical risk and predict longer LOS courses after spine surgery. Thus, it may prove useful in preoperative patient evaluation/ education and determining a prognosis based on surgical complexity.

Indexed as

Hospital length of stayOutcomesPostoperative complicationsSpine surgerySurgical complexity scale

Identifiers

PMID34084633
PMCPMC8168653
OpenAlexW3164096137

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.