Evidence map›Paper›PMID 37435537›Full record

ArticleFrontiers in medicine2023

Multidimensional risk factor analysis of acute low back pain progressing to chronicity: a longitudinal cohort study protocol.

Yilong Huang, Chunli Li, Jiaxin Chen, Yuanming Jiang, Yingjuan Yang, Juntao Yang, Zhongwei Wang, Derong Zhao, Mingbin Luo, Fushun Pu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 4 institutions in 1 country.

Yilong HuangDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Chunli LiDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Jiaxin ChenDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yuanming JiangDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yingjuan YangDepartment of Radiology, Dali Bai Autonomous Prefecture People's Hospital, Dali, China.
Juntao YangDepartment of Radiology, Dali Bai Autonomous Prefecture People's Hospital, Dali, China.
Zhongwei WangDepartment of Radiology, Baoshan People's Hospital, Baoshan, China.
Derong ZhaoDepartment of Radiology, Baoshan People's Hospital, Baoshan, China.
Mingbin LuoDepartment of Radiology, The First People's Hospital of Honghe State, Mengzi, China.
Fushun PuDepartment of Radiology, The First People's Hospital of Honghe State, Mengzi, China.
Zhenguang ZhangDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Bo HeDepartment of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
First Affiliated Hospital of Kunming Medical University · CNBaoshan College · CNHonghe University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Approximately 40% of patients with acute low back pain (LBP) develop chronic low back pain, which significantly increases the risk of poor prognosis. To reduce the risk of acute LBP becoming chronic, effective preventive strategies are needed. Early identification of risk factors for the development of chronic LBP can help clinicians choose appropriate treatment options and improve patient outcomes. However, previous screening tools have not considered medical imaging findings. The aim of this study is to identify factors that can predict the risk of acute LBP becoming chronic based on clinical information, pain and disability assessment, and MRI imaging findings. This protocol describes the methodology and plan for investigating multidimensional risk factors for acute LBP becoming chronic, in order to better understand the development of acute LBP and prevent chronic LBP. Methods: This is a prospective multicenter study. We plan to recruit 1,000 adult patients with acute low back pain from four centers. In order to select four representative centers, we find the larger hospitals from different regions in Yunnan Province. The study will use a longitudinal cohort design. Patients will undergo baseline assessments upon admission and will be followed up for 5 years to collect the time of chronicity and associated risk factors. Upon admission, patients will be collected detailed demographic information, subjective and objective pain scores, disability scale, and lumbar spine MRI scanning. In addition, patient's medical history, lifestyle, psychological factors will be collected. Patients will be followed up at 3 months, 6 months, 1 year, 2 years and up for 5 years after admission to collect the time of chronicity and associated factors. Multivariate analysis will be used to explore the multidimensional risk factors affecting the chronicity of acute LBP patients (such as age, gender, BMI, degree of intervertebral disc degeneration, etc.), and survival analysis will be performed to explore the impact of each factor on the time of chronicity. Ethics and dissemination: The study has been approved by the institutional research ethics committee of each study center (main center number: 2022-L-305). Results will be disseminated through scientific conferences and peer-reviewed publications, as well as meetings with stakeholders.

Indexed as

acute low back painchronicityMRIprotocolrisk factors

Identifiers

PMID37435537
PMCPMC10330724
OpenAlexW4382134142

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.