Evidence map›Paper›PMID 36277021›Full record

ArticleComputational and mathematical methods in medicine2022

Relationship between Severity of Lumbar Spinal Stenosis and Ligamentum Flavum Hypertrophy and Serum Inflammatory Factors.

Nina He, Wenbin Qi, Yongli Zhao, Xiaojun Wang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Nina HeDepartment of Rehabilitation Physiotherapy, Shandong University Qilu Hospital (Qingdao), Qingdao, Shandong 266000, China.
Wenbin QiDepartment of Rehabilitation Physiotherapy, Shandong University Qilu Hospital (Qingdao), Qingdao, Shandong 266000, China.
Yongli ZhaoDepartment of Rehabilitation Physiotherapy, Shandong University Qilu Hospital (Qingdao), Qingdao, Shandong 266000, China.
Xiaojun WangDepartment of Rehabilitation Physiotherapy, Shandong University Qilu Hospital (Qingdao), Qingdao, Shandong 266000, China.ORCID https://orcid.org/0000-0002-8560-0413
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study is aimed at investigating the correlation between lumbar spinal stenosis (LSS) severity, ligamentum flavum hypertrophy, and the upregulation of inflammatory markers. Methods: From March 2019 and May 2022, eighty-five inpatients with LSS were enlisted as the study's research group, while sixty-five patients hospitalized for lumbar intervertebral disc herniation over the same time period served as the study's control group. Moreover, mild, moderate, and severe subgroups of patients were created within the research population based on their LSS severity. The ligamentum flavum thickness and the positive expression rates of TNF- Results: The rates of both lower limb pain (40.00%) and intermittent claudication (80.00%) in the LSS group were higher than those in the lumbar disc herniation group (15.38%, 12.31%), with statistical significance ( Conclusion: Ligamentum flavum hypertrophy and positive expression rates of IL-1

Indexed as

Intervertebral Disc DisplacementLigamentum FlavumSpinal StenosisConstriction, PathologicHumansHypertrophyLumbar VertebraePainTransforming Growth Factor beta1Tumor Necrosis Factor-alphaTransforming Growth Factor beta1Tumor Necrosis Factor-alpha

Identifiers

PMID36277021
PMCPMC9581654
OpenAlexW4304809066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.