Evidence map›Paper›PMID 36522612›Full record

Trial reportBMC gastroenterology2022

Application of a WeChat-based mini-app as a patient reminder in Helicobacter pylori eradication: a prospective multi-center randomized controlled study.

Kefang Sun, Yishu Chen, Zhenzhen Wang, Yi Liu, Yue Pan, Xinli Mao, Lei Xu, Chaohui Jin, Ming Chen, Chaohui Yu and 1 more

Open access · goldAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Current paradigms in the management of refractory Helicobacter pylori infection.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2023
    Review
  10. Article
  11. Article
  12. 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

11 authors at 4 institutions in 1 country.

Kefang SunDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yishu ChenDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhenzhen WangDepartment of Gastroenterology, Taizhou Hospital, Zhejiang University, Linhai, China.
Yi LiuDepartment of Gastroenterology, Ningbo First Hospital, Ningbo, China.
Yue PanDepartment of Gastroenterology, Ningbo First Hospital, Ningbo, China.
Xinli MaoDepartment of Gastroenterology, Taizhou Hospital, Zhejiang University, Linhai, China.
Lei XuDepartment of Gastroenterology, Ningbo First Hospital, Ningbo, China.
Chaohui JinHithink RoyalFlush Information Network Co., Ltd., Hangzhou, China.
Ming ChenHithink RoyalFlush Information Network Co., Ltd., Hangzhou, China.
Chaohui YuDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Lan LiDepartment of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. nalil@zju.edu.cn.ORCID http://orcid.org/0000-0001-8401-4001
First Affiliated Hospital Zhejiang University · CNNingbo First Hospital · CNChina Internet Network Information Center · CNWenzhou Medical University · CN

Funding

National Natural Science Foundation of China 81970498Natural Science Foundation of Zhejiang Province LZ22H030002Science and Technology Plan Projects of Zhejiang Province 2015C33102
6 · The paper itself

Abstract

backgroundTo improve the eradication rate of H. pylori, researchers have investigated the role of WeChat-based mini-app as an electronic reminding system in H. pylori treatment.

methodsSubjects from three medical centers were divided into two groups. Patients in the daily mini-app-based notification system group received daily notifications via the WeChat mini-app. Patients in the control group received one-time verbal education on the first clinical visit. Both groups received a 14-day quadruple therapy to eradicate H. pylori infection. Eradication rate, compliance, adverse events and satisfaction were evaluated.

resultsBoth intention-to-treat (ITT) and per-protocol (PP) analyses were conducted. The eradication rate in the daily mini-app-based notification system group was slightly higher compared with the control group (ITT analysis: 76.70% vs. 70.73%, p = 0.312; PP analysis: 85.87% vs. 82.86%, p = 0.562). The compliance was significantly higher in the daily mini-app-based notification system group (ITT analysis: 85.52% vs. 70.48%, p = 0.028; PP analysis: 92.39% vs. 81.90%, p = 0.030). The adverse event rates were similar between the two groups (PP analysis: 36.96% vs. 40.95%, p = 0.566). No significant difference in eradication rate was seen in each subgroup analysis by age, place of residence, grade of education, or endoscopic findings.

conclusionThe study showed that daily mini-app-based notification improved patient compliance but not H. pylori eradication rate. Trial registration The research was registered in the Chinese Clinical Trial Registry (ChiCTR2000031011, 21/03/2020).

Indexed as

Helicobacter InfectionsHelicobacter pyloriMobile ApplicationsAmoxicillinAnti-Bacterial AgentsDrug Therapy, CombinationHumansProspective StudiesTreatment OutcomeAmoxicillinAnti-Bacterial AgentsComplianceEradicationHelicobacter pyloriWeChat mini-app

Identifiers

PMID36522612
PMCPMC9756606
OpenAlexW4311934218

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.