Evidence map›Paper›PMID 33950757›Full record

SynthesisScience progress

Association between interleukin-1 alpha rs1800587 polymorphism and rheumatoid arthritis: A meta-analysis.

Huaguo Wang, Yi Wang

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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 at 2 institutions in 1 country.

Huaguo WangDepartment of Clinical Laboratory, Ruian Traditional Chinese Medicine Hospital, Ruian, China.
Yi WangDepartment of Clinical Laboratory, Wenzhou integrated traditional Chinese and Western Medicine Hospital, Wenzhou, China.ORCID 0000-0001-6217-7811
Wenzhou Hospital of Traditional Chinese Medicine · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No consistent results have been reached on the relationship of interleukin-1 (IL-1) rs1800587 polymorphism with the susceptibility to rheumatoid arthritis (RA) so far. Therefore, the current meta-analysis was designed to thoroughly review relevant studies, in order to examine the relationship of IL-1A rs1800587 polymorphism with RA risk. Electronic databases were retrieved for literature regarding the relationship between IL-1A rs1800587 polymorphism and RA vulnerability according to the inclusion and exclusion criteria. Stata 12.0 software was adopted to examine the enrolled literature. Meanwhile, odds ratio (OR) and corresponding 95% confidence intervals (95% CI) were used to evaluate the association. A total of seven case-control researches (3267 patients and 2960 healthy controls) were eventually enrolled into the current meta-analysis. Our data indicated no correlation of IL-1A rs1800587 polymorphism with RA risk (TT vs CC: OR = 0.90, 95% CI = 0.73-1.11; TC vs CC: OR = 1.02, 95% CI = 0.78-1.34; Dominant model: OR = 1.04, 95% CI = 0.80-1.35; Recessive model: OR = 1.91, 95% CI = 0.74-1.12). Similarly, no association was found in subgroup analysis stratified by ethnicity. Our findings indicated no relationship between IL-1A rs1800587 polymorphism and RA vulnerability.

Indexed as

Arthritis, RheumatoidCase-Control StudiesGenetic Predisposition to DiseaseHumansInterleukin-1alphaPolymorphism, Single NucleotideIL1A protein, humanInterleukin-1alphaIL-1 polymorphismRheumatoid arthritisrisk

Identifiers

PMID33950757
PMCPMC10455026
OpenAlexW3159179266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.