Evidence map›Paper›PMID 37727483›Full record

ArticleWorld journal of clinical cases2023

Diagnosis and treatment of Whipple disease after kidney transplantation: A case report.

Qian Chen, Yu-Lin Niu, Tao Zhang

Abstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2023. 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. Whipple's disease of the respiratory system: A case report.Experimental and therapeutic medicine · 2024
    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

3 authors.

Qian ChenDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang 550000, Guizhou Province, China.
Yu-Lin NiuDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang 550000, Guizhou Province, China.
Tao ZhangDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang 550000, Guizhou Province, China. enric_olivera@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKidney transplantation is the standard treatment for end-stage renal disease. Particularly, rare and specific pathogenic infections which are asymptomatic are often difficult to diagnose, causing delayed and ineffective treatment and thus seriously affecting prognosis. CASE SUMMARY: To analyze clinical features of Whipple's disease and summarize its diagnosis and treatment effects after renal transplantation. Clinical data of a Whipple's disease patient treated in the affiliated hospital of Guizhou Medical University were collected and assessed retrospectively. The treatment outcomes and clinical experience were then summarized via literature review. The patient was admitted to the hospital due to recurrent diarrhea for 1 mo, shortness of breath, and 1 wk of fever, after 3 years of renal transplantation. The symptoms of the digestive and respiratory systems were not significantly improved after adjusting immunosuppressive regimen and anti-diarrheal, empirical antibiotic treatments. Bronchoscopic alveolar fluid was collected for meta-genomic next-generation sequencing (mNGS). The deoxyribonucleic acid sequence of

conclusionWhipple's disease is rare, with no specific symptoms, which makes diagnosis difficult. Polymerase chain reaction or mNGS should be immediately performed when the disease is suspected to confirm the diagnosis.

Indexed as

Case reportImmunosuppressionKidney transplantationMacrogenomics second-generation sequencing technologyWhipple diseaseWhipple’s nutrient barrier

Identifiers

PMID37727483
PMCPMC10506035

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Registered trials

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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.