Evidence map›Paper›PMID 36059829›Full record

ArticleFrontiers in medicine2022

Role of leukocytes and systemic inflammation indexes (NLR, PLR, MLP, dNLR, NLPR, AISI, SIR-I, and SII) on admission predicts in-hospital mortality in non-elderly and elderly COVID-19 patients.

Hassan Ghobadi, Jafar Mohammadshahi, Nazli Javaheri, Nasrin Fouladi, Yasaman Mirzazadeh, Mohammad Reza Aslani

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

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

  1. Pooled it
  2. Trial
  3. The Relationship Between Severity of Apical Periodontitis and Next-Generation Systemic Inflammatory Biomarkers.Australian endodontic journal : the journal of the Australian Society of Endodontology Inc · 2026
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  19. Medicina (Kaunas, Lithuania) · 2025
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20 more citing papers are in PubMed but not listed here.

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.

Hassan GhobadiLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
Jafar MohammadshahiDepartment of Infectious Diseases and Tropical Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Nazli JavaheriDepartment of Internal Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Nasrin FouladiSchool of Medicine, Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
Yasaman MirzazadehFaculty of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Mohammad Reza AslaniLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation indices, including neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), derived neutrophil/lymphocyte ratio (dNLR), neutrophil/lymphocyte Methods: In a retrospective study, laboratory parameters were examined for 1,792 COVID-19 patients (elderly = 710 and non-elderly = 1,082). The ability of inflammatory markers to distinguish the severity of COVID-19 was determined by receiver operating characteristic (ROC) analysis, and survival probability was determined by the mean of Kaplan-Meier curves, with the endpoint being death. Results: In the non-survivor non-elderly and elderly patients, the parameters PLR, MLR, dNLR, NLPR, AISI, SIR-I, and SII were significantly higher than in the surviving patients. WBC count (HR = 4.668, 95% CI = 1.624 to 13.413, Conclusion: WBC count and neutrophil count in non-elderly and elderly patients, were reliable predictors of mortality.

Indexed as

agingcoronavirusCOVID-19inflammationsystemic inflammation index

Identifiers

PMID36059829
PMCPMC9434555

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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.