Evidence map›Paper›PMID 40437373›Full record

ArticleBMC nephrology2025

Peritoneal dialysis-associated peritonitis caused by acremonium sclerotigenum: a case report.

Ju Wang, Yamei Cheng, Qiqi Yan, Dandan Li, Ruifeng Wang, Guiling Liu

Abstract readCase Reports
In one paragraph

Article in BMC nephrology, 2025. 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

6 authors.

Ju WangDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Yamei ChengDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Qiqi YanDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Dandan LiDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Ruifeng WangDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Guiling LiuDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. guilingliu369@163.com.

Funding

General Project of the Second Affiliated Hospital of Anhui Medical University Clinical Research Cultivation Program of 2021 2021LCYB20Key Project of the Second Affiliated Hospital of Anhui Medical University Clinical Research Cultivation Program of 2021 2021LCZD16
6 · The paper itself

Abstract

backgroundAcremonium sclerotigenum exhibits antagonistic properties against various detrimental organisms, including bacteria, nematodes, and mites. As the predominant species within the Acremonium genus, it is characterized as an opportunistic pathogenic fungus that commonly inhabits soil and plants as a saprotroph. Additionally, it has been identified as the etiological agent of superficial infections, such as onychomycosis, and, less frequently, invasive infections. CASE PRESENTATION: This study presents a unique case involving a 79-year-old male who developed peritoneal dialysis-associated peritonitis (PDAP) attributed to Acremonium sclerotigenum. To the best of our knowledge, this represents the first documented instance of PDAP caused by this fungal species.

conclusionThe identification of pathogens is essential for diagnosing PDAP.

Indexed as

AcremoniumMycosesPeritoneal DialysisPeritonitisAgedAntifungal AgentsHumansKidney Failure, ChronicMaleAntifungal AgentsAcremonium SclerotigenumPeritoneal dialysisPeritonitis

Identifiers

PMID40437373
PMCPMC12121040

What OpenQuestion holds

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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.