Evidence map›Paper›PMID 36119921›Full record

ArticleBioMed research international2022

Predictive Factors for Late-Onset Neurological Deficits in Patients with Posttuberculous Thoracic Kyphosis.

Jianquan Zhao, Zhuyun Cai, Yicheng Meng, Xuhui Zhou, Heng Jiang

Abstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Jianquan ZhaoDepartment of Orthopedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
Zhuyun CaiDepartment of Orthopedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
Yicheng MengDepartment of Orthopedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
Xuhui ZhouDepartment of Orthopedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-3936-7550
Heng JiangDepartment of Orthopedic Surgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0003-1964-6824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with severe posttuberculous (TB) kyphosis might suffer from late-onset neurological deficits, and surgical correction may improve neurological function. However, there is a lack of predictive factors for neurological function in these patients. Objective: This study was aimed at identifying the risk factors for late-onset neurological deficits in spinal TB patients at initial and final assessments. Methods: Seventy-eight patients with severe kyphosis caused by old thoracic tuberculosis were retrospectively analyzed. Patients with active spinal TB and other spinal diseases were excluded from the analysis. The kyphosis Cobb angle, sagittal deformity angular ratio (S-DAR), and level of apex were measured and calculated on X-ray. The spinal cord cross-sectional area ratio (CSAR), spinal cord sagittal diameter ratio (SDR), and spinal cord angle (SCA) were measured on preoperative T2-weighted magnetic resonance imaging (MRI). According to the American Spinal Injury Association (ASIA) Impairment Scale (AIS) at the time of admission, the patients were divided into the symptomatic group ( Results: The mean duration of kyphotic deformity was 37.4 years in the symptomatic group. There were no significant differences between the two groups in terms of CSAR, kyphosis Cobb angle, S-DAR, level of apex, or the segments that were involved. Patients from the symptomatic group exhibited significantly greater SDR and smaller SCA than those from the asymptomatic group ( Conclusions: Severe posttuberculous kyphosis may lead to significant neurological symptoms many years following the initial treatment. The predictive factors for late-onset neurological deficits include larger SDR and smaller SCA.

Indexed as

KyphosisSpinal Cord InjuriesHumansRadiographyRetrospective StudiesSpine

Identifiers

PMID36119921
PMCPMC9473887

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