Evidence map›Paper›PMID 31096430›Full record

ArticleMedicine2019

Is the evidence strong enough for acupuncture ameliorates clinical symptoms in patients with amyotrophic lateral sclerosis: A protocol for a systematic review and meta-analysis.

Qun Liao, Zunjiang Li, Hai Zeng, Xiaocong Feng, Wei Huang, Chuying Fu, Xiaolin Liang, Tian Li

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. 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
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

8 authors at 1 institution in 1 country.

Qun LiaoThe Second Clinical Medical College of Guangzhou University of Chinese Medicine, China.
Zunjiang Li
Hai Zeng
Xiaocong Feng
Wei Huang
Chuying Fu
Xiaolin Liang
Tian Li
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is the most common form of motor neuron diseases. Until now, it lacks effective drugs for its treatment, and the median survival time of ALS is reported as only 20 to 48 months after the onset of symptoms. Acupuncture served as part of traditional Chinese therapy, has been widely applied to clinical practice for patients with ALS but lacks studies to verify its efficacy. This study provides a protocol of systematic review, with which we will comprehensively verify the effects of acupuncture on ALS with evidence-based studies.

methodsThe eligible studies will be collected from 4 English databases (the MEDLINE via PubMed, the Cochrane Library, EMBASE, the Web of Science, and Ovid database), and 4 Chinese databases (China Science and Technology Journal Database, Chinese Biomedical Literature Database, Wan-fang Database, China National Knowledge Infrastructure) from October 2000 to October 2022. The primary outcome measure is the change in amyotrophic lateral sclerosis functional rating scale-revised (ALSFRS-R) scores. We will use RevMan V.5.3 software to calculate the data synthesis and will conduct meta-analysis based on the collected data.

resultsThe primary outcome measure is the change in ALSFRS-R scores, and secondary outcome measures included changes in forced vital capacity, grasping power, pinch strength, modified Norris Scale, ALS assessment questionnaire-40, and time to activity of daily living-independent will be measured and comprehensively assessed to evaluate the effect of acupuncture on ALS from this systematic review and meta-analysis.

conclusionThe systematic review and meta-analysis will assess the effect of acupuncture in the treatment of ALS with up-to-date clinical evidence. PROSPERO REGISTRATION NUMBER: PROSPERO CRD 42019124785.

Indexed as

Acupuncture TherapyAmyotrophic Lateral SclerosisAdolescentAdultAgedAged, 80 and overChinaDatabases, FactualData CollectionFemaleHand StrengthHumansMaleMeta-Analysis as TopicMiddle AgedOutcome Assessment, Health Care

Identifiers

PMID31096430
PMCPMC6531110
OpenAlexW2944912411

What OpenQuestion holds

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LicenceCC BY
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.