Evidence map›Paper›PMID 40123629›Full record

ArticleIndian journal of clinical biochemistry : IJCB2025

Role of Blood Cell Indexes in Progresses to ESRD.

Duong Thi Ngoc Lan, Donatella Coradduzza, Le Van An, Panagiotis Paliogiannis, Carla Chessa, Angelo Zinellu, Arduino A Mangoni, Ciriaco Carru

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

8 authors.

Duong Thi Ngoc Lan *Department of General Internal Medicine and Endocrinology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
Donatella Coradduzza *Department of Biomedical Sciences, University of Sassari, Sassari, Italy.ORCID 0000-0002-8978-0490
Le Van AnDepartment of General Internal Medicine and Endocrinology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.
Panagiotis PaliogiannisDepartment of Medical, Surgical, and Experimental Sciences, University of Sassari, 07100 Sassari, Italy.
Carla ChessaDepartment of Medical, Surgical, and Experimental Sciences, University of Sassari, 07100 Sassari, Italy.
Angelo ZinelluDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Arduino A MangoniDiscipline of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Bedford Park, SA 5042 Australia.
Ciriaco CarruDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a complex health condition characterized by the gradual loss of renal function, often leading to end-stage renal disease (ESRD). It results from a combination of medical, environmental, and genetic factors. Predicting the rate of renal function decline and effectively managing the progression to ESRD is challenging in clinical practice. CKD assessment involves various indicators, including estimated glomerular filtration rate (eGFR), albuminuria levels, serum creatinine, and others. This study aimed to explore the predictive potential of specific blood cell indexes in forecasting further renal function decline and the transition from CKD stage 3-4 to ESRD. We assessed the following blood cell indexes in 377 CKD stage 3-4 patients: absolute neutrophil count (ANC), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), derived NLR (dNLR), mean platelet volume (MPV), aggregate index of systemic inflammation (AISI), and systemic inflammation index (SII). ANC, MPV, NLR, PLR, dNLR, and SII were found to independently predict a rapid decline in eGFR. Notably, NLR and dNLR demonstrated the highest sensitivity and specificity with cut-off values of 3.36 and 2.45, respectively (NLR: 88.6 and 81.7%; dNLR: 85.2 and 75.8%). The corresponding area under the ROC curve values were 0.877 (95% CI 0.837-0.918,

Indexed as

Blood cell countChronic kidney diseaseDerived neutrophil/lymphocyte ratioNeutrophil/lymphocyte ratioRenal progressionTransition to end-stage renal disease

Identifiers

PMID40123629
PMCPMC11928694

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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.