Evidence map›Paper›PMID 35654106›Full record

ArticleAsian spine journal2022

Trends in the Charges and Utilization of Computer-Assisted Navigation in Cervical and Thoracolumbar Spinal Surgery.

Calista L Dominy, Justin E Tang, Varun Arvind, Brian H Cho, Stephen Selverian, Kush C Shah, Jun S Kim, Samuel K Cho

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Asian spine journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Emerging Technologies within Spine Surgery.Life (Basel, Switzerland) · 2023
    Review
  4. Review
  5. 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

8 authors.

Calista L DominyDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Justin E TangDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Varun ArvindDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Brian H ChoDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stephen SelverianDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kush C ShahDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jun S KimDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Samuel K ChoDepartment of Orthopedics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective national database study. PURPOSE: This study is conducted to assess the trends in the charges and usage of computer-assisted navigation in cervical and thoracolumbar spinal surgery. OVERVIEW OF LITERATURE: This study is the first of its kind to use a nationwide dataset to analyze trends of computer-assisted navigation in spinal surgery over a recent time period in terms of use in the field as well as the cost of the technology.

methodsRelevant data from the National Readmission Database in 2015-2018 were analyzed, and the computer-assisted procedures of cervical and thoracolumbar spinal surgery were identified using International Classification of Diseases 9th and 10th revision codes. Patient demographics, surgical data, readmissions, and total charges were examined. Comorbidity burden was calculated using the Charlson and Elixhauser comorbidity index. Complication rates were determined on the basis of diagnosis codes.

resultsA total of 48,116 cervical cases and 27,093 thoracolumbar cases were identified using computer-assisted navigation. No major differences in sex, age, or comorbidities over time were found. The utilization of computer-assisted navigation for cervical and thoracolumbar spinal fusion cases increased from 2015 to 2018 and normalized to their respective years' total cases (Pearson correlation coefficient=0.756, p =0.049; Pearson correlation coefficient=0.9895, p =0.010). Total charges for cervical and thoracolumbar cases increased over time (Pearson correlation coefficient=0.758, p =0.242; Pearson correlation coefficient=0.766, p =0.234).

conclusionsThe use of computer-assisted navigation in spinal surgery increased significantly from 2015 to 2018. The average cost grossly increased from 2015 to 2018, and it was higher than the average cost of nonnavigated spinal surgery. With the increased utilization and standardization of computer-assisted navigation in spinal surgeries, the cost of care of more patients might potentially increase. As a result, further studies should be conducted to determine whether the use of computer-assisted navigation is efficient in terms of cost and improvement of care.

Indexed as

Computer-assistedCost analysisDatabaseOrthopedic surgerySpineSurgerySurgical navigation systems

Identifiers

PMID35654106
PMCPMC9633237

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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.