Evidence map›Paper›PMID 41054757›Full record

ArticleIndian journal of orthopaedics2025

MRI Findings of Extradural Fat in Patients with Cauda Equina Syndrome: A Novel Perspective.

Xianping Luo, Deng Li, Yi Zhai, JingLi Qian, Caiyun Ying

Abstract read
In one paragraph

Article in Indian journal of orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Xianping LuoDepartment of Radiology, People's Hospital of Chongqing Liangjiang New Area, No.199 Renxing Road, Renhe Street North New District, Yubei District, Chongqing, 401120 China.
Deng LiDepartment of Radiology, People's Hospital of Chongqing Liangjiang New Area, No.199 Renxing Road, Renhe Street North New District, Yubei District, Chongqing, 401120 China.
Yi ZhaiDepartment of Radiology, People's Hospital of Chongqing Liangjiang New Area, No.199 Renxing Road, Renhe Street North New District, Yubei District, Chongqing, 401120 China.
JingLi QianDepartment of Traditional Chinese Medicine and Rehabilitation, People's Hospital of Chongqing Liangjiang New Area, No.199 Renxing Road, Renhe Street North New District, Yubei District, Chongqing, 401120 China.
Caiyun YingDepartment of Radiology, People's Hospital of Chongqing Liangjiang New Area, No.199 Renxing Road, Renhe Street North New District, Yubei District, Chongqing, 401120 China.ORCID 0009-0004-0933-8574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the manifestations of extradural fat in patients with Redundant nerve roots (RNRs) via lumbar MRI. Methods: A total of 492 patients with RNRs were enrolled and divided into two groups: Group A ( Results: In Group A, there was no statistically significant difference in the LSFTT among the different grades of extradural fat. In Group B, the incidence rates of Grade 2 and Grade 3 extradural fat were 66.7% and 24.2%, respectively, which were significantly greater than the 27.3% and 0% reported in Group C, with a statistically significant difference between Groups B and C ( Conclusion: MRI is an important tool for assessing extradural fat and RNRs, providing crucial information for clinical decision-making and improving patients' prognoses. Increased extradural fat may contribute to the development of RNRs and should be a concern for clinicians.

Indexed as

CorrelationEpidural fatMagnetic resonance imaging (MRI)Redundant nerve roots (RNRs)Spinal epidural lipomatosis(SEL)

Identifiers

PMID41054757
PMCPMC12496402

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.