Evidence map›Paper›PMID 32174964›Full record

SynthesisFrontiers in genetics2020

Association of

Meifang Mai, Yinlian Jiang, Xiaoman Wu, Gengrong Liu, Yaoli Zhu, Weiping Zhu

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 1 country.

Meifang MaiNephrology Division, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Yinlian JiangNephrology Division, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Xiaoman WuNephrology Division, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Gengrong LiuNephrology Division, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Yaoli ZhuIntensive Care Unit, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Weiping ZhuNephrology Division, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
Fifth Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnti-inflammatory cytokine polymorphisms in the transforming growth factor-β1 (

methodsA systematic literature search of five databases was performed up to October 2019. Two authors independently extracted data and evaluated the quality of included studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were generated from random-effects or fixed-effects models using Stata 12.0.

resultsNineteen studies from 10 countries satisfied our inclusion criteria and were included in the meta-analysis. Overall, the pooled analysis showed that

conclusionsAvailable data suggest that common polymorphisms in the

Indexed as

chronic kidney diseaseIL-10IL-4polymorphismTGF-β1

Identifiers

PMID32174964
PMCPMC7056835
OpenAlexW3007590397

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.