Evidence map›Paper›PMID 39611142›Full record

ArticleFrontiers in immunology2024

Risk factor assessment and microbiome analysis in peritoneal dialysis-related peritonitis reveal etiological characteristics.

Li Zhang, Hongrui Zhang, Sensen Su, Ye Jia, Chenyang Liang, Yuan Fang, Dengwei Hong, Tianyu Li, Fuzhe Ma

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

9 authors.

Li ZhangDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Hongrui ZhangDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Sensen SuDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Ye JiaDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Chenyang LiangDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Yuan FangGenoxor Medical Science and Technology Inc., Shanghai, China.
Dengwei HongGenoxor Medical Science and Technology Inc., Shanghai, China.
Tianyu LiGenoxor Medical Science and Technology Inc., Shanghai, China.
Fuzhe MaDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peritoneal dialysis-related peritonitis (PDRP) is one of the most common complications of peritoneal dialysis (PD). Understanding the risk factors and etiological characteristics is indispensable for infection prevention and improving the outcome and life quality. Methods: A total of 70 PD patients were separated into the PDRP group (n=25) and the control group (n=45). Variables, including gender, age, body mass index, primary diseases, and history of basic diseases, in the two groups were analyzed to assess the risk factors of PDRP. Metagenomic next-generation sequencing (mNGS) and microbial culture were compared in detecting pathogenic microorganisms. Gut microbiota analysis was performed in 35 PDRP patients based on mNGS data. Results: Dialysis time and times of dialysate change were the risk factors of PDRP, and times of dialysate change was the independent risk factor of PDRP (p = 0.046). mNGS produced higher sensitivity (65.79%) than microbial culture (36.84%) in identifying pathogenic microorganisms. Conclusion: The dialysis time and times of dialysate changes not only are risk factors for peritonitis in PD patients but also stimulate significant changes in the gut microbiome structure in PDRP patients. These findings may provide a novel viewpoint for the management of patients with PDRP.

Indexed as

Gastrointestinal MicrobiomePeritoneal DialysisPeritonitisAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansMaleMetagenomicsMiddle AgedRisk AssessmentRisk Factorsgut microbiomemNGSpathogenic identificationperitoneal dialysis-related peritonitisrisk factor

Identifiers

PMID39611142
PMCPMC11602453

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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.