Evidence map›Paper›PMID 32162036›Full record

SynthesisAnnals of hematology2020

Genetic polymorphisms and multiple myeloma risk: a meta-analysis.

Pengcheng Zhang, Bing Liu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Annals of hematology, 2020. 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
0.4field-weighted citation impact, top 38% 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, 4 citations in OpenAlex.

  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 at 2 institutions in 1 country.

Pengcheng ZhangInstitute of environment and operational medicine, Academy of Military Medical Sciences, Academy of Military Sciences, Tianjin, 300041, China. zpc546877517@163.com.
Bing LiuState Key Laboratory of Proteomics, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, 100071, China.
Academy of Military Medical Sciences · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous researches exploring associations between multiple myeloma (MM) and genetic polymorphisms showed controversial results. In this investigation, we aimed to make a meta-analysis to assess the association between MM risk and genetic polymorphisms. We searched for articles on genetic polymorphism and MM risk in Web of Science and PubMed databases from 1951 to August 2019. We computed the odds ratio (OR) and 95% confidence intervals (CI) extracted from included articles. The meta-analysis showed no significant associations between MM risks and tumor necrosis factor (TNF)-α (rs1800629/rs361525/rs1799724), interleukin (IL)-6 (rs1800795), multidrug resistance 1 (MDR1) (rs1045642), Methylenetetrahydrofolate reductase (MTHFR) (rs1801131/rs1801133) polymorphisms. In summary, the study shows that the TNF-α (rs1800629/rs361525/rs1799724), IL-6 (rs1800795), MDR1 (rs1045642), and MTHFR (rs1801131/rs1801133) polymorphisms may not be associated with MM susceptibility. Thus, we do not need more expensive and useless studies to explore the associations between MM risks and these genetic polymorphisms.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticFemaleHumansMaleMultiple MyelomaNeoplasm ProteinsNeoplasm ProteinsInterleukin-6Methylenetetrahydrofolate reductaseMultidrug resistance 1Multiple myelomaTumor necrosis factor-α

Identifiers

PMID32162036
OpenAlexW3010758932

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.