Evidence map›Paper›PMID 34984984›Full record

SynthesisJournal of genetics2021

Effect of IFN-Y +874 T/A polymorphism on clinical manifestations of dengue: a meta-analysis.

Gaganpreet Kaur, Kajal Gupta, Anjali Singh, Nirmal Kumar, Indranil Banerjee

Abstract readMeta-Analysis
PubMed
In one paragraph

Synthesis in Journal of genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Gaganpreet KaurCellular Virology Laboratory, Department of Biological Sciences, Indian Institute of Science Education and Research (IISER), Mohali 140 306, India. indranil@iisermohali.ac.in.
Kajal Gupta
Anjali Singh
Nirmal Kumar
Indranil Banerjee
Indian Institute of Science Education and Research Mohali · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) is a mosquito-borne RNA virus, which infects nearly 3.97 billion people every year in the tropical and subtropical regions of the world. DENV infections can range from unrecognizable illnesses to a spectrum of clinical manifestations such as dengue fever (DF), and more severe and potentially lethal dengue hemorrhagic fever (DHF). The variability of clinical manifestations induced by DENV can be attributed to a variety of extrinsic and intrinsic factors including virulence of the DENV strains and host genetic factors influencing the immune response. Interferon gamma (IFN-Y) is one of the critical immunomodulators implicated in DENV infection, and recent case-control association studies examined the role of +874 T/A polymorphism (rs2430561) of the IFN-Y gene in dengue clinical outcomes. Since the results of the association studies on DENV infection and IFN-Y +874 T/A polymorphism were inconsistent, we performed a meta-analysis to derive a more precise estimate of the association. Searching the databases until 15 March 2020, we identified five studies with a total of 1412 subjects (582 cases and 830 controls), which were included in this meta-analysis. The pooled odds ratio (ORs) with corresponding 95% confidence intervals (CIs) were calculated to evaluate the strength of the association. Pooled data indicated significant association of the TT genotype with DENV infection (DI), DF, and DHF in the recessive model TT vs AT+AA: OR (DI) = 1.47, 95% CI (1.10-1.97),

Indexed as

Polymorphism, Single NucleotideCase-Control StudiesDengueHumansInterferon-gammaIFNG protein, humanInterferon-gamma

Identifiers

PMID34984984
OpenAlexW4206887076

What OpenQuestion holds

Textmetadata
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.