Evidence map›Paper›PMID 40177258›Full record

ArticleInternational journal of nephrology and renovascular disease2025

Time-Weighted Average Proteinuria and Renal Function Decline in IgA Nephropathy: A Retrospective Cohort Study.

Ricong Xu, Tao Cao, Ying Liao, Yuna Chen, Yi Yu, Jianying Guo, Anni Zhong, Xiaojie Chen, Yi Xu, Qijun Wan

Abstract read
In one paragraph

Article in International journal of nephrology and renovascular disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

10 authors.

Ricong Xu *Department of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.ORCID 0009-0005-6824-3820
Tao Cao *Department of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Ying LiaoDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Yuna ChenDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Yi YuDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.ORCID 0009-0007-4380-6441
Jianying GuoDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Anni ZhongDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Xiaojie ChenDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Yi XuDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.
Qijun WanDepartment of Nephrology, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: IgA nephropathy (IgAN) is the leading primary glomerulonephritis globally, with many patients advancing to end-stage renal disease. Proteinuria is a key predictor of renal function decline in IgAN, yet the best method for long-term assessment is unclear. This study explores the relationship between time-weighted average proteinuria (TWAP), a novel metric of cumulative proteinuria exposure, and renal function decline in IgAN patients. Methods: This single-center retrospective cohort study encompassed 549 patients with biopsy-confirmed primary IgAN from Shenzhen Second People's Hospital from 2011 to 2023. TWAP served as the primary exposure variable, calculated using the protein-creatinine ratio values, while changes in estimated glomerular filtration rate (eGFR) constituted the primary outcome. Covariates included age, sex, blood pressure, and mesangial hypercellularity (M), endocapillary hypercellularity (E), segmental glomerulosclerosis (S), tubular atrophy/interstitial fibrosis (T), and crescents (C) (known as the Oxford Classification MEST-C score system). The associations between TWAP and eGFR trajectories were analyzed using Generalized Additive Mixed Models. Results: In patients with baseline eGFR 15-60 mL/min/1.73m², higher TWAP levels correlated with accelerated eGFR decline. Compared to TWAP < 0.3 g/g, TWAP 0.3-0.5 g/g, 0.5-1 g/g, and ≥1 g/g were associated with additional annual eGFR declines of 2.04 (95% CI: -3.72 to -0.35), 3.38 (95% CI: -5.12 to -1.65), and 4.04 (95% CI: -6.61 to -1.47) mL/min/1.73m²/year, respectively. For eGFR ≥60 mL/min/1.73m², only TWAP ≥1 g/g significantly accelerated eGFR decline 5.70 (95% CI: -6.84 to -4.55) mL/min/1.73m²/year. Conclusion: TWAP significantly predicts renal function decline in IgAN, especially in patients with pre-existing renal dysfunction. Maintaining TWAP below 0.3 g/g may significantly slow disease progression, emphasizing the importance of stringent proteinuria control in IgAN management.

Indexed as

IgA nephropathymixed methodsrenal functiontime-weighted average proteinuria(TWAP)

Identifiers

PMID40177258
PMCPMC11963820

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.