Evidence map›Paper›PMID 31908929›Full record

ReviewJournal of orthopaedic translation2020

Clinical Neurorestorative Therapeutic Guidelines for Spinal Cord Injury (IANR/CANR version 2019).

Hongyun Huang, Wise Young, Stephen Skaper, Lin Chen, Gustavo Moviglia, Hooshang Saberi, Ziad Al-Zoubi, Hari Shanker Sharma, Dafin Muresanu, Alok Sharma and 3 more

Abstract readReview
In one paragraph

Review in Journal of orthopaedic translation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 4 pooled it
–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

97 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Danshen (Frontiers in pharmacology · 2026
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  5. Trial
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  9. Construction and validation of a risk prediction model for hyponatremia caused by cervical spinal cord injury.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
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37 more citing papers are in PubMed but not listed here.

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

13 authors.

Hongyun HuangInstitute of Neurorestoratology, Third Medical Center of PLA General Hospital, Beijing, People's Republic of China.
Wise YoungW. M. Keck Center for Collaborative Neuroscience, Rutgers, State University of New Jersey, Piscataway, NJ, USA.
Stephen SkaperDepartment of Pharmaceutical and Pharmacological Sciences, University of Padua, Padua, Italy.
Lin ChenDepartment of Neurosurgery, Tsinghua University Yuquan Hospital, Beijing, People's Republic of China.
Gustavo MovigliaCenter of Research and Engineer of Tissues and Cellular Therapy, Maimonides University, Buenos Aires, Argentina.
Hooshang SaberiDepartment of Neurosurgery, Brain and Spinal Injury Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Ziad Al-ZoubiJordan Ortho and Spinal Centre, Al-Saif Medical Center, Amman, Jordan.
Hari Shanker SharmaIntensive Experimental CNS Injury and Repair, University Hospital, Uppsala University, Uppsala, Sweden.
Dafin MuresanuDepartment of Neurosciences "Iuliu Hatieganu", University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Alok SharmaDepartment of Neurosurgery, LTM Medical College, LTMG Hospital, Mumbai, Mumbai, India.
Wagih El MasrySpinal Injuries Unit, Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, United Kingdom.
Shiqing FengDepartment of Orthopaedics, Tianjin Medical University General Hospital, Tianjin, People's Republic of China.
International Association of Neurorestoratology and The Chinese Association of Neurorestoratology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional restoration after spinal cord injury (SCI) is one of the most challenging tasks in neurological clinical practice. With a view to exploring effective neurorestorative methods in the acute, subacute, and chronic phases of SCI, "Clinical Therapeutic Guidelines of Neurorestoration for Spinal Cord Injury (China Version 2016)" was first ​proposed in 2016 by the Chinese Association of Neurorestoratology (CANR). Given the rapid advances in this field in recent years, the International Association of Neurorestoratology (IANR) and CANR formed and approved the "Clinical Neurorestorative Therapeutic Guidelines for Spinal Cord Injury (IANR/CANR version 2019)". These guidelines mainly introduce restoring damaged neurological structure and functions by varying neurorestorative strategies in acute, subacute, and chronic phases of SCI. These guidelines can provide a neurorestorative therapeutic standard or reference for clinicians and researchers in clinical practice to maximally restore functions of patients with SCI and improve their quality of life. THE TRANSLATIONAL POTENTIAL OF THIS ARTICLE: This guideline provided comprehensive management strategies for SCI, which contains the evaluation and diagnosis, pre-hospital first aid, treatments, rehabilitation training, and complications management. Nowadays, amounts of neurorestorative strategies have been demonstrated to be benefit in promoting the functional recovery and improving the quality of life for SCI patients by clinical trials. Also, the positive results of preclinical research provided lots of new neurorestorative strategies for SCI treatment. These promising neurorestorative strategies are worthy of translation in the future and can promote the advancement of SCI treatments.

Indexed as

Cell therapyClinical therapeutic guidelineNeurorehabilitationNeurorestorationNeurotizationSpinal cord injury

Identifiers

PMID31908929
PMCPMC6939117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.