Evidence map›Paper›PMID 40307330›Full record

ArticleScientific reports2025

The novel CKD-INF score for distinguishing infectious from non-infectious inflammation in patients with non-dialysis chronic kidney disease.

Ilia Beberashvili, Khieralla Shaheen, Elad Nizri, Kobi Stav, Shai Efrati

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Ilia BeberashviliNephrology Division, Yitzhak Shamir Medical Center, Zerifin, Israel. iliab@asaf.health.gov.il.
Khieralla ShaheenInternal Department D, Yitzhak Shamir Medical Center, Zerifin, Israel.
Elad NizriNephrology Division, Yitzhak Shamir Medical Center, Zerifin, Israel.
Kobi StavUrology Department, Yitzhak Shamir Medical Center, Zerifin, Israel.
Shai EfratiNephrology Division, Yitzhak Shamir Medical Center, Zerifin, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study analyzed 831 non-dialysis chronic kidney disease (CKD) patients admitted from January 2007 to January 2023, using 665 for creating and 166 for validating the CKD-Infectious Inflammation (CKD-INF) score. This score distinguishes inflammation types using logistic regression outcomes and aligns with the International Sepsis Definition Conference criteria. The study's participants had an average age of 76.2 ± 11.2 years, with 37% female and over half diagnosed with diabetes. The resulting score was as follows:[Formula: see text] where NLR refers to the neutrophil-to-lymphocyte ratio, CRP to C-reactive protein, and WBC indicates white blood cell count. CKD-INF exhibited a higher AUC of 0.85 (with a 95% CI of 0.82-0.87), higher sensitivity (75.3%) and specificity (82%) compared to its components including CRP. The CKD-INF score showed higher weighted κ values (0.57) for infection prediction at hospital admission than its individual components. In both training and validation groups, the CKD-INF score outperformed CRP as a predictor of infection in univariate and multivariate analyses. The CKD-INF score, derived from routine laboratory tests, can be an effective tool for predicting infections in CKD patients, potentially aiding in their early management.

Indexed as

InfectionsInflammationRenal Insufficiency, ChronicAgedAged, 80 and overC-Reactive ProteinFemaleHumansLeukocyte CountMaleMiddle AgedC-Reactive ProteinChronic kidney diseaseC-reactive proteinInfectionInflammationNeutrophil to lymphocyte ratio

Identifiers

PMID40307330
PMCPMC12044150

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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.