Evidence map›Paper›PMID 24885561›Full record

ArticleBMC complementary and alternative medicine2014

Quality of reporting on randomized controlled trials of acupuncture for stroke rehabilitation.

Lixing Zhuang, Jun He, Xun Zhuang, Liming Lu

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 5 pooled it
4.2field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 5 syntheses or guidelines pooled it, 29 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 3 institutions in 1 country.

Lixing Zhuang
Jun HeDepartment of Acupuncture, First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou 510405, China. hejunjun11@126.com.
Xun Zhuang
Liming Lu
First Affiliated Hospital of Guangzhou University of Chinese Medicine · CNGuangzhou University of Chinese Medicine · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResults from clinical studies on acupuncture for stroke rehabilitation are contradictory. The reason for the inconsistent findings especially lie in the transparency and accuracy of randomized controlled trials (RCTs) reports. This study aims to analyze the quality of reporting and its correlates in RCTs on acupuncture for stroke rehabilitation.

methodsQuality of reporting for included papers was assessed against a subset of criteria adapted from the CONSORT 2010 statement and STRICTA. An overall quality score (OQS) and a combined key methodological index score (MIS) was calculated for each trial. Then, factors associated with OQS and MIS were identified.

resultsA total of 15 RCTs were included in full text. The median OQS based on the CONSORT statement and STRICTA was 8 and 12, respectively. The significant predictors for CONSORT OQS was funding source, for STRICTA was year of publication. With regard to the MIS, no variable was associated with improved methodological quality.

conclusionsOur study found that the overall quality of reporting on RCTs of acupuncture for stroke rehabilitation was general or good. But some items' reporting was found where information was insufficient or inadequate in most studies which needed substantial improvement.

Indexed as

Acupuncture TherapyStroke RehabilitationAcupunctureHumansPublishingRandomized Controlled Trials as TopicResearch DesignResearch Report

Identifiers

PMID24885561
PMCPMC4030573
OpenAlexW2091188781

What OpenQuestion holds

Textmetadata
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.