Evidence map›Paper›PMID 31695394›Full record

ArticleTherapeutics and clinical risk management2019

Multivariate analysis of poor outcome after anterior surgery in multilevel cervical spondylotic myelopathy patients with heterotopic ossification and preoperative kyphotic alignment.

ShaoQing Li, BaoYang Zhang, Yong Shen, ZhanYong Wu

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

ShaoQing LiDepartment of Orthopedic Surgery, The Orthopedics Hospital of XingTai City, XingTai 054000, People's Republic of China.
BaoYang ZhangDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang 050051, People's Republic of China.
Yong ShenDepartment of Orthopedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang 050051, People's Republic of China.
ZhanYong WuDepartment of Orthopedic Surgery, The Orthopedics Hospital of XingTai City, XingTai 054000, People's Republic of China.
Hebei Medical University · CNXingtai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to evaluate the risk factors for poor outcome in patients who underwent multi-segmental anterior surgery, and analyze postoperative complications.

methodsWe retrospectively reviewed 158 patients after anterior surgery due to multilevel cervical spondylotic myelopathy (m-CSM) between June 2008 and June 2016. Adjusted ORs and 95% CIs were determined by multivariate logistic regression analysis. Cutoff values and the area under the curve for continuous risk factors were calculated through receiver operating characteristic curve analysis. The chi-squared test was performed for the comparison of complications among the three surgical groups.

resultsBy analyzing 105 patients with good outcome and 53 patients with poor outcome, we established that the risk factors for poor outcome were advanced age (OR =1.12,

conclusionAdvanced age, longer duration of symptoms, and bigger kyphotic angle at final follow-up were the risk factors for poor postoperative outcome in patients with m-CSM. The complications after hybrid approach and m-ACDF approach were less than after anterior cervical corpectomy and fusion approach.

Indexed as

complicationheterotopic ossificationhybrid approachkyphoticmultilevel cervical spondylotic myelopathy

Identifiers

PMID31695394
PMCPMC6717722
OpenAlexW2970180598

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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.