Evidence map›Paper›PMID 42367198›Full record

ArticleKidney diseases (Basel, Switzerland)

Telitacicept in IgA Nephropathy Patients with Severe Renal Impairment: A Case Series.

Xueying Chen, Zhaohui Wang, Xuejie Wang, Qinjie Weng, Xiaonong Chen, Jingyuan Xie, Zijin Chen

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland). 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
–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

0 citing papers in PubMed.

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

7 authors.

Xueying ChenDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Zhaohui WangDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Xuejie WangDepartment of Nephrology, Luwan Branch of Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Qinjie WengDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Xiaonong ChenDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Jingyuan XieDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Zijin ChenDepartment of Nephrology, Institute of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Treatment options for IgA nephropathy (IgAN) patients with severe renal impairment are limited. Although telitacicept is approved for reducing proteinuria in IgAN, prior trials excluded patients with estimated glomerular filtration rate (eGFR) <35 mL/min/1.73 m Methods: We retrospectively reviewed medical records of patients with biopsy-proven IgAN, eGFR 15-35 mL/min/1.73 m Results: Thirteen patients were included. Proteinuria decreased by 45% at month 6 and remained reduced by 51%, 47%, and 45% at months 12, 18, and 24, respectively. One patient initiated dialysis at month 15. Mean eGFR remained stable over 24 months, with an annual decline slope of -2.39 mL/min/1.73 m Conclusion: Telitacicept reduced proteinuria and stabilized eGFR in IgAN patients with severe renal impairment. It may be a therapeutic option for patients unresponsive or intolerant to conventional therapy, but confirmation in larger, prospective studies is warranted.

Indexed as

IgA nephropathyProteinuriaSafetySevere renal impairmentTelitacicept

Identifiers

PMID42367198
PMCPMC13299160

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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.