Evidence map›Paper›PMID 32481350›Full record

ArticleMedicine2020

Therapies for diabetic gastroparesis: A protocol for a systematic review and network meta-analysis.

Shengju Wang, Ruili Wang, Yanli Zhang, Xu Zhang, Baochao Cai, Yan Lu, Yuguo Xia, Qiu Chen

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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 2 institutions in 2 countries.

Shengju WangDepartment of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine.
Ruili WangDiabetes Department, Jintang County Traditional Chinese Medicine Hospital, Chengdu.
Yanli ZhangDepartment of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine.
Xu ZhangDepartment of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine.
Baochao CaiEndocrinology Department, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing.
Yan LuDepartment of Endocrinology, Third Affiliated Hospital of Chengdu University of TCM, Chengdu, China.
Yuguo XiaDepartment of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine.
Qiu ChenDepartment of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine.
International Platform of Registered Systematic Review and Meta-analysis Protocols · CHChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic gastroparesis (DG) is a common autonomic neuropathy which impacts on nutritional state and quality of life in diabetic patients, and it also adversely affects glycemic control in diabetes. The prevalence of DG is growing with the number of patients with diabetes continues to increase. However, there is no definitive answer as to which of the current therapies is the best for the clinical treatment of the different manifestations of DG. The subject of this study is to answer the following question: what is the best intervention for diabetic patients with gastroparesis?

methodsComprehensive searches of the Cochrane Library, PubMed, Embase, Medline, Central and Web of Science, and 4 Chinese databases, including China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, Chinese Biomedical Literature Database, and WanFang will be completed using the following keywords DG and therapies and related entry terms. Studies will be included, according to the eligibility criteria (randomized controlled trials and controlled clinical trials, considering specific outcome measures for DG). The reference lists of included studies will be manual searched. Relevant data will be extracted from included studies using a specially designed data extraction sheet. Risk of bias of the included studies will be assessed, and the overall strength of the evidence will be summarized through GRADE. A random effects model will be used for all pairwise meta-analyses (with a 95% confidence interval). A Bayesian network meta-analysis will explore the relative benefits between the various therapies. The review will be reported using the Preferred Reporting Items for Systematic Reviews incorporating Network Meta-Analyses statement. Network meta-analysis will be performed using a Bayesian framework through the Winbugs software.

resultsThis network meta-analysis will identify the best effective therapy for DG.

conclusionThis study will compare and evaluate current therapies for DG, and find the best treatment of DG.

Indexed as

Bayes TheoremDiabetes ComplicationsDiabetes MellitusGastroparesisHumansMeta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID32481350
PMCPMC7249871
OpenAlexW3019385039

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.