Evidence map›Paper›PMID 38962462›Full record

ArticleClinical case reports2024

Long-term renal survival of γ3-heavy-chain deposition disease complicated by heart failure: A case report.

Shujun Shi, Kaiying He, Yaojun Liang, Shuling Yue

Abstract readCase Reports
In one paragraph

Article in Clinical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Shujun ShiRenal Division, Department of Medicine Lanzhou University Second Hospital Lanzhou China.
Kaiying HeRenal Division, Department of Medicine Lanzhou University Second Hospital Lanzhou China.ORCID https://orcid.org/0000-0002-9389-8387
Yaojun LiangRenal Division, Department of Medicine Lanzhou University Second Hospital Lanzhou China.
Shuling YueGuangzhou KingMed Center for Clinical Laboratory Guangzhou Guangdong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key Clinical Message: Heavy-chain deposition disease (HCDD), a rare monoclonal immunoglobulin deposition disease, involves truncated heavy-chain deposition in kidneys. Limited long-term data exist. We report a case of renal and cardiac failure with favorable outcomes post bortezomib-based therapy. Stable renal function observed over 4 years suggests efficacy in HCDD with multisystem involvement. Abstract: Heavy-chain deposition disease (HCDD) is an extremely rare form of monoclonal immunoglobulin deposition disease (MIDD) that involves the deposition of truncated immunoglobulin heavy chains in the kidneys. Only a few cases of HCDD with a favorable long-term renal prognosis have been reported, resulting in limited long-term follow-up data for this patient population. In this report, we present the case of a 52-year-old patient with nephrotic syndrome who experienced renal failure and cardiac failure. Renal biopsy confirmed the presence of γ3-HCDD and monoclonal Immunoglobulin G (IgG)κ in the serum. The patient exhibited low voltage on electrocardiogram (ECG) and unexplained left ventricular hypertrophy on cardiac ultrasound. The patient underwent eight cycles of bortezomib-based chemotherapy, which led to hematological remission. After 4 years of follow-up, the patient's renal function remained stable, with serum creatinine levels ranging from 0.7 to 0.9 mg/dL and proteinuria of 0.3-0.5 g/24 h. Our findings suggest that bortezomib-based chemotherapy is equally effective in HCDD patients with combined multisystem damage.

Indexed as

bortezomibcase reportheavy‐chain deposition diseaseMGRS

Identifiers

PMID38962462
PMCPMC11220498

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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.