Evidence map›Paper›PMID 32935583›Full record

ArticleGlobal spine journal2022

Disparities in Rates of Fusions in Lumbar Disc Pathologies.

Soobin Kim, James S Ryoo, Philip B Ostrov, Abhinav K Reddy, Mandana Behbahani, Ankit I Mehta

Abstract read
In one paragraph

Article in Global spine journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impact of Social Determinants of Health in Spine Surgery.Current reviews in musculoskeletal medicine · 2023
    Review
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

6 authors.

Soobin Kim12247University of Illinois at Chicago, Chicago, IL, USA.
James S Ryoo12247University of Illinois at Chicago, Chicago, IL, USA.
Philip B Ostrov12247University of Illinois at Chicago, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-5121-6587
Abhinav K Reddy12247University of Illinois at Chicago, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-8209-8077
Mandana Behbahani12247University of Illinois at Chicago, Chicago, IL, USA.
Ankit I Mehta12247University of Illinois at Chicago, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-6931-6095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designRetrospective cohort study.

objectiveTo identify disparities in surgical decision making for lumbar disc pathologies based on patient demographics, hospital characteristics, and temporal characteristics of admission.

methodsA retrospective analysis of patients admitted for surgical intervention of disc herniation or degeneration was performed to observe the effect of demographic, hospital, and admission-related factors on the decision to perform an isolated decompression or decompression with single level fusion using the National Inpatient Sample.

resultsOf 84 953 patients with lumbar disc pathologies, 69 975 patients were treated electively, and 14 978 patients were treated nonelectively. Hispanic and Asian/Pacific Islander patients were less likely to receive a fusion for elective cases compared with White patients (odds ratio [OR] 0.88,

conclusionThis study illustrates disparities in the modality of surgical intervention for lumbar disc pathologies in terms of demographics, hospital characteristics, and temporal characteristics of admission. The development of more evidence-based guidelines is warranted to reduce variability seen in treatment regimens for these conditions.

Indexed as

degenerative disc diseasediscectomydisc herniationfusionhealth care disparitieslaminectomy

Identifiers

PMID32935583
PMCPMC8907631

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.