Evidence map›Paper›PMID 32166584›Full record

SynthesisEndocrine2020

Sex-specific association between type 1 diabetes and the risk of end-stage renal disease: a systematic review and meta-analysis.

Wei Dong, Yue Zhao, Dandan Liu, Yandi Liu, Fei Li, Mei Li

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Role of sex hormones in diabetic nephropathy.Frontiers in endocrinology · 2023
    Review
  2. Review
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.

Wei DongDepartment of Endocrine and Metabolism, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Yue ZhaoDepartment of Endocrine and Metabolism, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Dandan LiuCenter of Physical Examination, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Yandi LiuDepartment of Endocrine and Metabolism, The First Hospital of Jilin University, Changchun, Jilin, PR China.
Fei LiDepartment of Endocrine and Metabolism, The First Hospital of Jilin University, Changchun, Jilin, PR China. feil1202020@163.com.
Mei LiDepartment of Endocrine and Metabolism, The First Hospital of Jilin University, Changchun, Jilin, PR China. meiliu588@126.com.
First Hospital of Jilin University · CNJilin University · CN

Funding

Jilin province science and technology development plan project 20190201012JC
6 · The paper itself

Abstract

purposeThis meta-analysis was conducted given the inconsistent findings of studies regarding the sex discrepancy in the relationship between type 1 diabetes (T1D) and the risk of end-stage renal disease (ESRD).

methodsArticles published on PubMed between January 1, 1966 and March 31, 2019 were systematically retrieved without language restrictions. The included articles all presented sex-specific data of the incidence rate ratio, standardized incidence or mortality ratio, hazard ratio, relative risk, or odds ratio, or provided data to estimate the association between T1D and ESRD or kidney disease-related mortality. The gender-specific effect estimates and pooled ratio (female-to-male) for ESRD and for deaths from T1D-related renal disease were acquired via a random-effects meta-analysis with inverse variance weighting, regardless of heterogeneity evaluated based on the I

resultsNineteen studies, including 122,842 individuals, were finally selected for this meta-analysis. Sex differences in effect estimates were found in ESRD (pooled ratio = 0.81 (95% confidence interval 0.69-0.94)) with considerable heterogeneity (I

conclusionWomen with T1D have a lower risk of ESRD compared with that in men, but this finding may be biased by potential confounding factors and must be verified by other well-planned prospective studies.

Indexed as

Diabetes Mellitus, Type 1Kidney Failure, ChronicFemaleHumansIncidenceMaleProspective StudiesRisk FactorsSex CharacteristicsESRDMeta-analysisMortalitySexType 1 diabetes

Identifiers

PMID32166584
OpenAlexW3012519921

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.