Evidence map›Paper›PMID 36619566›Full record

ReviewFrontiers in endocrinology2022

Diabetes mellitus with a duration of 26 years combined with IgA nephropathy: A case report and literature review.

Yan-Li Gou, Ya-Pu Zhang, Yang Xu, Jian-Dong Li, Yang Huang, Hang Chen

Open access · goldAbstract readReviewCase Reports
In one paragraph

Review in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Yan-Li GouDepartment of Nephrology, Affiliated Hospital of Hebei University, Baoding, China.
Ya-Pu ZhangDepartment of Nephrology, Affiliated Hospital of Hebei University, Baoding, China.
Yang XuDepartment of Nephrology, Affiliated Hospital of Hebei University, Baoding, China.
Jian-Dong LiDepartment of Nephrology, Affiliated Hospital of Hebei University, Baoding, China.
Yang HuangHebei University, Baoding, China.
Hang ChenDepartment of Nephrology, Affiliated Hospital of Hebei University, Baoding, China.
Affiliated Hospital of Hebei University · CNHebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence of diabetes mellitus (DM) in China is increasing yearly and has become a major problem plaguing national public health. The diagnosis of diabetic kidney disease (DKD) is based primarily on clinical criteria, and most patients do not receive a formal evaluation by renal biopsy; thus, misdiagnosis and underdiagnosis are common. The incidence of non-diabetic kidney disease (NDKD) is also higher in those with DM. To date, many cases of IgA nephropathy (IgAN) among those with DKD have been reported, while cases of IgAN in patients with long-duration DM who did not develop DKD are less commonly reported. Case description: A 70-year-old male patient with a diabetes duration of 26 years had proteinuria for one year. The clinical manifestations of nephrotic syndrome and IgAN were confirmed by renal biopsy. The patient received targeted treatment for three years with partial alleviation of proteinuria. Conclusion: Renal biopsy might aid in the definitive diagnosis of DKD, NDKD, and NDKD combined with DKD. Precise therapy based on renal pathology might help to improve outcomes in the kidney.

Indexed as

Diabetes MellitusDiabetic NephropathiesGlomerulonephritis, IGAAgedChinaHumansKidneyMaleProteinuriacase reportdiabetes mellitusdiabetes mellitus combined with IgA nephropathyIgA nephropathynephrology

Identifiers

PMID36619566
PMCPMC9816133
OpenAlexW4312173593

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.