Evidence map›Paper›PMID 41343803›Full record

ArticleJournal of neurosurgery. Case lessons2025

Diagnostic challenges of spinal gout: patient series.

Yongfu Zhou, Hao Wu, Ying Huang, Yunan Man, Maolin He

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 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.

Yongfu ZhouThe First Clinical Medical College of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region.
Hao WuDepartment of Spinal Orthopedic, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region.
Ying HuangJiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yunan ManThe First Clinical Medical College of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region.
Maolin HeDepartment of Spinal Orthopedic, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal gout can be seen as a metabolic disorder disease mainly caused by urate deposition. In this report, the authors attempt to find the common characteristics of spinal gout. Subsequently, they explore state-of-the-art techniques for diagnosing spinal gout and potentially elucidating its prevalence. OBSERVATIONS: The authors conducted a retrospective analysis of the medical records of patients diagnosed with spinal tophaceous gout at The First Affiliated Hospital of Guangxi Medical University during a 5-year period from March 2019 through May 2024. Data on serum uric acid levels, C-reactive protein, and other relevant parameters were collected. The cohort included 12 patients (8 males, 4 females; aged 29-78 years). Four had cervical involvement presenting with upper limb numbness and weakness, while the remaining 8 had lumbar lesions mainly causing low back pain. Imaging showed typical features: radiographic imaging revealed "punched-out" lytic lesions, CT imaging demonstrated soft tissue-like density with marginal sclerosis; and MRI showed iso- or hypointense T1 signals and variable T2 patterns based on urate deposition extent. LESSONS: Spinal gout remains challenging to diagnose early. Clinicians should consider it in patients with a history of gout and new-onset back pain. Prompt diagnosis and treatment are crucial once suspected. https://thejns.org/doi/10.3171/CASE25216.

Indexed as

goutpatient seriesspinal cord neoplasmsspinal diseases

Identifiers

PMID41343803
PMCPMC12666874

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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.