Evidence map›Paper›PMID 33120761›Full record

ArticleMedicine2020

Association between gastroesophageal reflux disease and depression disorder: A protocol for systematic review and meta-analysis.

Yu Liu, Panpan Zhou, Shixiong Zhang, Huiqing Wu, Zeqi Yang, Miaochan Xu, Shaowei Liu, Yangang Wang

Abstract 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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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.

Yu LiuSchool of Pharmacy, Hebei University of Chinese Medicine.
Panpan ZhouDepartment of Gastroenterology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, Hebei, P.R. China.
Shixiong ZhangSchool of Pharmacy, Hebei University of Chinese Medicine.
Huiqing WuDepartment of Gastroenterology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, Hebei, P.R. China.
Zeqi YangSchool of Pharmacy, Hebei University of Chinese Medicine.
Miaochan XuSchool of Pharmacy, Hebei University of Chinese Medicine.
Shaowei LiuSchool of Pharmacy, Hebei University of Chinese Medicine.
Yangang WangDepartment of Gastroenterology, The First Affiliated Hospital of Hebei University of Chinese Medicine, Shijiazhuang, Hebei, P.R. China.ORCID 0000-0003-1298-9963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study will systematically synthesize the evidence on the potential association between gastroesophageal reflux disease (GERD) and depression disorder (DD).

methodsWe will search the following electronic bibliographic databases: PubMed/MEDLINE, Embase, Cochrane Library, Web of Science, the Chinese Bio Medical Literature Database, China National Knowledge Infrastructure (CNKI), the China Science and Technology Journal database (VIP) and Wanfang Data. In addition, ongoing trials will be retrieved from the WHO ICTRP Search Portal, the Chinese Clinical Trial Register and The Clinical Trials Register. Articles related to gastroesophageal reflux disease and depression will be searched. And language and time will be unlimited.

resultsThe study will afford additional insight into the investigation the association between GERD and DD.

conclusionsThe results of this study will provide helpful evidence to explore the association between GERD and DD. REGISTRATION NUMBER: INPLASY202090026.

Indexed as

Depressive DisorderGastroesophageal RefluxHumansMeta-Analysis as TopicSystematic Reviews as Topic

Identifiers

PMID33120761
PMCPMC7581124

What OpenQuestion holds

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Registered trials

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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.