Evidence map›Paper›PMID 38711140›Full record

ArticleJournal of orthopaedic surgery and research2024

Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis.

Boxin Zheng, Lin Ouyang, Jianhua Shi, Xiaochan Shen, Hanbin Lei

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Boxin Zheng *Radiology Department, 909th Hospital (Affiliated Southeast Hospital, Xiamen University), Zhangzhou, China.
Lin Ouyang *Radiology Department, 909th Hospital (Affiliated Southeast Hospital, Xiamen University), Zhangzhou, China.
Jianhua ShiSchool of Mathematics and Statistics, Minnan Normal University, Zhangzhou, China. v0085@126.com.
Xiaochan ShenRadiology Department, 909th Hospital (Affiliated Southeast Hospital, Xiamen University), Zhangzhou, China.
Hanbin LeiRadiology Department, 909th Hospital (Affiliated Southeast Hospital, Xiamen University), Zhangzhou, China.

Funding

Fujian Province Region Developments Project 2019Y3007Military Logistics Research Project CLB21J017Natural Science Foundation of Fujian Province 2020J01794
6 · The paper itself

Abstract

purposeThis study aimed to investigate an early diagnostic method for lumbar disc degeneration (LDD) and improve its diagnostic accuracy.

methodsQuantitative biomarkers of the lumbar body (LB) and lumbar discs (LDs) were obtained using nuclear magnetic resonance (NMR) detection technology. The diagnostic weights of each biological metabolism indicator were screened using the factor analysis method.

resultsThrough factor analysis, common factors such as the LB fat fraction, fat content, and T2* value of LDs were identified as covariates for the diagnostic model for the evaluation of LDD. This model can optimize the accuracy and reliability of LDD diagnosis.

conclusionThe application of biomarker quantification methods based on NMR detection technology combined with factor analysis provides an effective means for the early diagnosis of LDD, thereby improving diagnostic accuracy and reliability.

Indexed as

BiomarkersIntervertebral Disc DegenerationLumbar VertebraeMagnetic Resonance ImagingAdultEarly DiagnosisFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsBiomarkersFactor analysis methodLumbar disc degenerationQuantitative indicators of biological metabolism

Identifiers

PMID38711140
PMCPMC11572524

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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.