Evidence map›Paper›PMID 38958248›Full record

ArticleRenal failure2024

Development and validation of a nomogram for predicting refractory peritoneal dialysis related peritonitis.

Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Deguang Wang

Abstract readValidation Study
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Qiqi YanDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID 0000-0002-7856-4979
Guiling LiuDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Ruifeng WangDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Dandan LiDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Xiaoli ChenDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Deguang WangDepartment of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the risk factors of refractory peritoneal dialysis related peritonitis (PDRP) and construct a nomogram to predict the occurrence of refractory PDRP.

methodsRefractory peritonitis was defined as the peritonitis episode with persistently cloudy bags or persistent dialysis effluent leukocyte count >100 × 10

resultsA total of 294 peritonitis episodes in 178 patients treated with peritoneal dialysis (PD) were enrolled, of which 93 were refractory peritonitis. C-reactive protein, serum albumin, diabetes mellitus, PD duration, and type of causative organisms were independent risk factors for refractory peritonitis. The nomogram model exhibited excellent discrimination with an area under the curve (AUC) of 0.781 (95% CI: 0.716-0.847) in the training set and 0.741 (95% CI: 0.627-0.855) in the validation set. The Hosmer-Lemeshow test and calibration curve indicated satisfactory calibration ability of the predictive model. Decision curve analysis revealed that the nomogram model had good clinical utility in predicting refractory peritonitis.

conclusionThis nomogram can accurately predict refractory peritonitis in patients treated with PD.

Indexed as

NomogramsPeritoneal DialysisPeritonitisAdultAgedAnti-Bacterial AgentsC-Reactive ProteinFemaleHumansKidney Failure, ChronicLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveAnti-Bacterial AgentsC-Reactive ProteinNomogramperitoneal dialysisperitonitisrefractory peritonitis

Identifiers

PMID38958248
PMCPMC467101

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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.