Evidence map›Paper›PMID 38628623›Full record

ArticleImmunoTargets and therapy2024

Correlation Between C4/IgG with Macroproteinuria in Chronic Kidney Disease: A Pilot Study.

Hao Zhang, Anqi Xu, Xiangxiang Li, Binbin Pan, Xin Wan

Open access · goldAbstract read
In one paragraph

Article in ImmunoTargets and therapy, 2024. 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
0.3field-weighted citation impact, top 40% 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

5 authors at 3 institutions in 1 country.

Hao Zhang *Department of Nephrology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Anqi Xu *Department of Quality Management, Nanjing Red Cross Blood Center, Nanjing, People's Republic of China.
Xiangxiang Li *Department of Nephrology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing, People's Republic of China.
Binbin PanDepartment of Nephrology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Xin WanDepartment of Nephrology, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
Nanjing Medical University · CNBeijing Red Cross Blood Center · CNYuxian People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Loss of immunoglobulin G (IgG) is accompanied with proteinuria, especially macroproteinuria. The complement system participates kidney disease resulting in proteinuria. Whether the ratio of complement and IgG is associated with macroproteinuria remains unknown. Design Setting Participants and Measurements: A total of 1013 non-dialysis chronic kidney disease (CKD) patients were recruited according to the electrical case records system with 268 patients who endured kidney biopsy. Patients were grouped via the estimated glomerular filtration rate or the levels of proteinuria determination. Biomarkers in different CKD groups or proteinuria groups were compared by one-way ANOVA or independent samples Results: No significant difference of complement C3 and C4 among CKD1 to CKD5 stages, while higher level of complement C4 in patients with macroproteinuria. Further, C4 had a positive correlation with proteinuria ( Conclusion: Complement C4/IgG could be used to predict macroproteinuria.

Indexed as

chronic kidney diseasecomplement C4immunoglobulin Gkidney biopsymacroproteinuria

Identifiers

PMID38628623
PMCPMC11020232
OpenAlexW4394757595

What OpenQuestion holds

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LicenceCC BY-NC
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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.