Evidence map›Paper›PMID 37603181›Full record

SynthesisMethods in molecular biology (Clifton, N.J.)2023

Toll-Like Receptor Polymorphisms and the Risk of Cancer: Meta-analysis Study.

Narttaya Chaiwiang, Teera Poyomtip

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

2 authors.

Narttaya ChaiwiangFaculty of Optometry, Ramkhamhaeng University, Bangkok, Thailand.
Teera PoyomtipFaculty of Optometry, Ramkhamhaeng University, Bangkok, Thailand. teera.p@rumail.ru.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic review and meta-analysis is a useful method to summarize the different results from primary data, which can then provide an evidence-based outcome. Meta-analysis generates quantitative data by calculating effect sizes, which include odd ratios, relative risks, proportions, correlation coefficients, and so forth. The study of single-nucleotide polymorphisms (SNPs) and the association with the interested outcome is one discipline that has resulted in inconsistent relations. Therefore, the meta-analysis aimed to summarize the relevant data on SNPs associated with the outcome of interest. Herein, we describe a comprehensive meta-analysis on Toll-like receptor-9 polymorphism and the risk of cervical cancer.

Indexed as

Uterine Cervical NeoplasmsFemaleHumansOdds RatioPolymorphism, Single NucleotideToll-Like ReceptorsToll-Like ReceptorsCervical cancerGene polymorphismsMeta-analysisToll-like receptor-9

Identifiers

PMID37603181

What Socratic 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 Socratic graph.