Evidence map›Paper›PMID 38994313›Full record

ArticleWorld journal of clinical cases2024

Hepatic amyloidosis in a patient with chronic liver failure: A case report.

Yan Chen, Jing Peng, Yao Wang, Li-Hua Xiao, Fang Liu, Yin-Bin Wei, Xiong-Fei Wu, Lu-Wen Wang

Abstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 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

8 authors.

Yan ChenDepartment of Infectious Diseases, Hanchuan People's Hospital, Hanchuan 431699, Hubei Province, China.
Jing PengDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Yao WangDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Li-Hua XiaoDepartment of Infectious Diseases, Hanchuan People's Hospital, Hanchuan 431699, Hubei Province, China.
Fang LiuDepartment of Infectious Diseases, Hanchuan People's Hospital, Hanchuan 431699, Hubei Province, China.
Yin-Bin WeiDepartment of Infectious Diseases, Hanchuan People's Hospital, Hanchuan 431699, Hubei Province, China.
Xiong-Fei WuDepartment of Infectious Diseases, Hanchuan People's Hospital, Hanchuan 431699, Hubei Province, China.
Lu-Wen WangDepartment of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China. wangluw8253@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyloidosis is a rare disorder that can be classified into various types, and the most common type is the systemic light chain type. The prognosis of this disease is extremely poor. In general, amyloidosis mainly affects the kidneys and heart and manifests as abnormal proliferation of clonal plasma cells. Cases in which the liver is the primary organ affected by amyloidosis, as in this report, are less common in clinical practice. CASE SUMMARY: A 62-year-old man was admitted with persistent liver dysfunction of unknown cause and poor treatment outcomes. His condition persisted, and he developed chronic liver failure, with severe cholestasis in the later stage that was gradually accompanied by renal injury. Ultimately, he was diagnosed with hepatic amyloidosis through liver biopsy and pathological examination.

conclusionHepatic amyloidosis rarely occurs in the clinic, and liver biopsy and pathological examination can assist in the accurate and effective diagnosis of this condition.

Indexed as

Case reportChronic liver failureHepatic amyloidosisLiver biopsyPathological examinationRare disease

Identifiers

PMID38994313
PMCPMC11235431

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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.