Evidence map›Paper›PMID 31823563›Full record

ArticleZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2019

[Precise diagnosis and treatment of spastic cerebral palsy].

Xiaoqing He, Yongqing Xu, Xi Yang

Open access · greenAbstract read
In one paragraph

Article in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2019. 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
–field-weighted citation impact, top 78% 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, 0 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

3 authors at 2 institutions in 1 country.

Xiaoqing HeInstitute of Trauma Orthopedic Surgery, the 920 Hospital of Joint Logistic Support Force of Chinese PLA, Kunming Yunnan, 650032, P.R.China.
Yongqing XuInstitute of Trauma Orthopedic Surgery, the 920 Hospital of Joint Logistic Support Force of Chinese PLA, Kunming Yunnan, 650032, P.R.China.xuyongqingkm@163.net.
Xi YangInstitute of Trauma Orthopedic Surgery, the 920 Hospital of Joint Logistic Support Force of Chinese PLA, Kunming Yunnan, 650032, P.R.China.
People's Liberation Army 401 Hospital · CNPingjin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarize the advancement of precise diagnosis and treatment for spastic cerebral palsy in recent years.

methodsThe literature and own experiences were reviewed, and the surgical method, precise diagnosis, and personalized treatment of spastic cerebral palsy based on the classification of spastic cerebral palsy were summarized and analyzed.

resultsThe common classification of spastic cerebral palsy are gross motor function classification system (GMFCS) and manual ability classification system (MACS). The surgical methods of spastic cerebral palsy can be divided into soft tissue surgery, nerve surgery, and bone and joint surgery. The precise diagnosis of spastic cerebral palsy includes qualitative diagnosis, localization diagnosis, and quantitative diagnosis. Based on precise diagnosis and classification, one or more corresponding surgical methods are selected for treatment.

conclusionThe manifestations of spastic cerebral palsy are so diverse that it is necessary to select rational surgeries based on precise diagnosis to achieve individualized treatment.

Indexed as

Cerebral PalsyDisability EvaluationHumansMotor Skillsindividualized treatmentprecise diagnosisSpastic cerebral palsysurgical technique

Identifiers

PMID31823563
PMCPMC8355790
OpenAlexW2995068195

What OpenQuestion holds

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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.