Evidence map›Paper›PMID 34260525›Full record

ArticleMedicine2021

Effects of ABCB1 gene polymorphism on the efficacy of antidepressant drugs: A protocol for systematic review and meta-analysis.

Xiaoying Zheng, Zejuan Fu, Xiaomei Chen, Mingxia Wang, Rixia Zhu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Association between miR-182 rs76481776 Polymorphism and Antidepressant Treatment Response in Patients with Depression.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Article
  2. 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

5 authors at 3 institutions in 2 countries.

Xiaoying ZhengCross Infection Control Office.
Zejuan FuDepartment of Nursing.
Xiaomei ChenOperating Room, Second Affiliated Hospital of Hainan Medical College.
Mingxia WangDepartment of Neurology and Geriatrics of Medicine, Hainan Province Anning Hospital, Haikou, Hainan Province, China.
Rixia ZhuDepartment of Nursing.ORCID 0000-0001-5418-0017
Biology of Infection · FRHainan General Hospital · CNHainan Medical College Hospital · CN

Funding

Hainan Health Industry Scientific Research Project 20A200521
6 · The paper itself

Abstract

backgroundAntidepressant drugs are mainly used to treat depression clinically. ABCB1 affects the P-glycoprotein activity and changes the amount of drugs in the blood tissue barrier that can be squeezed back into the blood, thus affecting the efficacy of antidepressants. In this present study, Meta-analysis was performed to further investigate the influences of ABCB1 gene polymorphism on antidepressant response.

methodsRelevant literatures were searched from the PubMed, EMBASE, Web of Science, Chinese National Knowledge Infrastructure, Chinese Science and Technique Journals Database, China Biology Medicine disc, and Wan Fang databases up to May 2021 without any language restrictions. STATA 16.0 software was applied for this meta-analysis. Odds ratio (OR) and its corresponding 95% confidence interval (CI) were calculated.

resultsThe results of this meta-analysis will be submitted to a peer-reviewed journal for publication.

conclusionThis meta-analysis will summarize the effects of ABCB1 gene polymorphism on antidepressant response.

Indexed as

Antidepressive AgentsATP Binding Cassette Transporter, Subfamily BDepressionHumansMeta-Analysis as TopicOdds RatioResearch DesignSystematic Reviews as TopicABCB1 protein, humanAntidepressive AgentsATP Binding Cassette Transporter, Subfamily B

Identifiers

PMID34260525
PMCPMC8284742
OpenAlexW3180807292

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.