Evidence map›Paper›PMID 42150862›Full record

ArticleBritish journal of haematology2026

Renal amyloidosis prediction in kidney disease patients accompanied by monoclonal gammopathy.

Siyu Bao, Zixuan Xun, Wensi Bian, Daxi Wang, Hong Liu, Yang Li, Xiaoqiang Ding, Yi Fang, Zheng Wei

Abstract read
In one paragraph

Article in British journal of haematology, 2026. 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

9 authors.

Siyu BaoDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-9225-9866
Zixuan XunDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Wensi BianDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0007-3146-638X
Daxi WangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Hong LiuDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang LiDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi FangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Zheng WeiDepartment of Hematology, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen, Fujian, China.

Funding

International Science and Technology Cooperation Projects 22410714200Science and Technology Commission of Shanghai MunicipalityShanghai Key Laboratory of Kidney and Blood Purification 20DZ2271600Shanghai Municipal Key Clinical Specialty shslczdzk02501Shanghai Science and Technology Commission's New Drug and Medical Device Application Demonstration Project 25SF1905500
6 · The paper itself

Abstract

This study aimed to assess whether routine nephrology examinations could predict renal amyloidosis in kidney disease patients with monoclonal gammopathy. A total of 356 consecutive hospitalized patients in the nephrology department with monoclonal gammopathy performed renal biopsies, including 50 renal amyloidosis patients and 306 non-renal amyloidosis patients, were included after strict filtering. Laboratory and imaging data were collected for each patient. Renal amyloidosis patients exhibited significantly higher 24-h proteinuria and estimated glomerular filtration rate and decreased serum creatinine (SCr), albumin and immunoglobin M, with lower κ light chain and κ/λ ratio in urine and serum. Higher 24-h proteinuria and 24-h microalbuminuria and lower random urine κ/λ ratio, serum κ light chain, serum κ/λ ratio and SCr were significant risk factors for renal amyloidosis. Nomogram model identified albumin, 24-h urinary microalbumin excretion rate, 24-h urine κ light chain, 24-h urine κ/λ ratio and serum IgM as combined predictors of renal amyloidosis (area under the curve 0.781, 95% CI 0.718-0.854). Combined biomarkers (albumin, 24-h urinary microalbumin excretion rate, 24 h urine κ light chain, 24-h urine κ/λ ratio and serum IgM) effectively predicted renal amyloidosis in kidney disease patients with monoclonal gammopathy.

Indexed as

AmyloidosisKidney DiseasesParaproteinemiasAdultAgedBiomarkersFemaleHumansImmunoglobulin kappa-ChainsMaleMiddle AgedProteinuriaRisk FactorsBiomarkersImmunoglobulin kappa-Chainsdiagnosismonoclonal gammopathyrenal amyloidosis

Identifiers

PMID42150862
PMCPMC13462249

What Socratic 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 Socratic graph.