Evidence map›Paper›PMID 42124464›Full record

ReviewRenal failure2026

Protecting peritoneal dialysis patients: evaluation and prevention strategies for noninfectious risk factors.

Penghao Xu, Lerong Zhang, Lele Hao, Jiamu Li, Chen Jiang

Abstract readReview
In one paragraph

Review in Renal failure, 2026. 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

5 authors.

Penghao XuDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lerong ZhangDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Lele HaoDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiamu LiDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Chen JiangDepartment of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninfectious risk factors in peritoneal dialysis (PD) are often overlooked, yet they significantly worsen patient outcomes. This review highlights nine key risk factors: advanced age and psychosocial vulnerability, malnutrition and sarcopenia, glucose and lipid metabolism disorders, hypoalbuminemia, chronic microinflammation, gut dysbiosis, kidney anemia, chronic kidney disease-mineral and bone disorder, and volume overload with elevated intra-abdominal pressure. These factors interact to increase the risks of death, decline of residual kidney function, peritoneal fibrosis and cardiovascular events. We outline practical, evidence-based protective strategies that integrate nutritional and physical rehabilitation, biocompatible dialysis regimens, individualized fluid and dialysis prescription, targeted pharmacotherapy, psychosocial support, and regular monitoring of integrated inflammatory and nutritional biomarkers. The goal is to help clinicians improve long-term outcomes and quality of life for PD patients.

Indexed as

Kidney Failure, ChronicPeritoneal DialysisAnemiaHumansHypoalbuminemiaMalnutritionQuality of LifeRisk FactorsSarcopeniaBiocompatible dialysateChronic microinflammationMalnutritionMultidisciplinary interventionNoninfectious risk factorsPeritoneal dialysis

Identifiers

PMID42124464
PMCPMC13173579

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.