Evidence map›Paper›PMID 42796724›Full record

ReviewPathogens (Basel, Switzerland)2026

Complete Blood Count-Derived Inflammatory Markers in Pediatric Lower Respiratory Tract Infection: A Narrative Review.

Joan Joan, Clarissa Chandra, Clara Annabel Wibisono, Hans Davis Gunawan, Vivian Chang, Anton Sumarpo

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 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

6 authors.

Joan JoanMedical Profession Program, Faculty of Medicine, Maranatha Christian University, Bandung 40164, Indonesia.
Clarissa ChandraUndergraduate Medical Program, Faculty of Medicine, Maranatha Christian University, Bandung 40164, Indonesia.ORCID 0009-0002-9716-197X
Clara Annabel WibisonoUndergraduate Medical Program, Faculty of Medicine, Maranatha Christian University, Bandung 40164, Indonesia.
Hans Davis GunawanUndergraduate Biotechnology Program, Faculty of Medicine, Maranatha Christian University, Bandung 40164, Indonesia.ORCID 0009-0000-0159-3942
Vivian ChangUndergraduate Medical Program, Faculty of Medicine, Maranatha Christian University, Bandung 40164, Indonesia.
Anton SumarpoDepartment of Clinical Pathology, Faculty of Medicine, Maranatha Christian University, Bandung 40164, Indonesia.ORCID 0000-0001-5196-4510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower respiratory tract infections (LRTIs) are a leading infectious cause of death in children worldwide. Complete blood count (CBC)-derived inflammatory ratios are low-cost and widely available, yet their reported performance varies. We reviewed 46 PubMed-indexed studies (2016-2026) in children aged 0-18 years with viral, bacterial, or mycobacterial LRTI. The findings were mapped across diagnosis, etiological differentiation, severity, and outcome prediction. The neutrophil-to-lymphocyte ratio (NLR) was the most investigated marker, with the broadest evidence base for severity assessment and for separating bacterial from viral disease, although its performance remained pathogen-, population-, and endpoint-dependent; it was elevated in severe pertussis, tuberculosis,

Indexed as

InflammationRespiratory Tract InfectionsAdolescentBiomarkersBlood Cell CountChildChild, PreschoolHumansInfantInfant, NewbornNeutrophilsBiomarkerschildcomplete blood countimmunopathogenesislower respiratory tract infectionneutrophil-to-lymphocyte ratiopneumonia

Identifiers

PMID42796724
PMCPMC13610868

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.