Evidence map›Paper›PMID 35685576›Full record

SynthesisInternational journal of clinical practice2022

Association between Genetic Polymorphisms and Risk of Kidney Posttransplant Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Shan Xu, Zhenwei Jiang, Nan Hu

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

3 authors at 2 institutions in 1 country.

Shan XuDepartment of Pharmacy, Changzhou No. 2 People's Hospital, The Affiliated Hospital of Nanjing Medical University, Changzhou, China.ORCID https://orcid.org/0000-0002-0565-2708
Zhenwei JiangDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China.
Nan HuDepartment of Pharmacy, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China.ORCID https://orcid.org/0000-0002-7505-5001
Soochow University · CNChangzhou No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The purpose of this study was to clarify the role of genetic factors on posttransplant diabetes mellitus (PTDM) risk. Methods: Relevant publications were systematically retrieved from PubMed, EMBASE, and the Cochrane Library up to December 2020. Data from eligible case-control and cohort studies were extracted for qualitative and quantitative analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between gene polymorphisms and PTDM in the quantitative meta-analysis. Results: A total of 43 eligible articles were identified, and 16 studies on 9 DNA variants from 8 genes were included in the meta-analysis. Conclusions: The gene polymorphisms of

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseHumansKCNQ1 Potassium ChannelKidneyPolymorphism, Single NucleotideRNA-Binding ProteinsIGF2BP2 protein, humanKCNQ1 Potassium ChannelRNA-Binding Proteins

Identifiers

PMID35685576
PMCPMC9159121
OpenAlexW4221137638

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.