Evidence map›Paper›PMID 40460103›Full record

ArticlePloS one2025

Use peripheral blood leukocyte parameters combined with inflammatory indicators in diagnosis and severity assessment of mycoplasma pneumoniae pneumonia in children.

Yuwen Zhang, Yuanpeng Zhai, Shuai Qi, Dan Huang, Jingjing Wang, Linyan Wang, Xuemei Dong, Zhipeng Sun, Jiaojiao Yin, Chong Zhang and 1 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Risk factors for severe lower respiratory tract infection among children under 5 years of age hospitalized with respiratory syncytial virus.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Observational
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

11 authors.

Yuwen ZhangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, People's Republic of China.
Yuanpeng ZhaiSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, People's Republic of China.
Shuai QiSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, People's Republic of China.
Dan HuangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, People's Republic of China.
Jingjing WangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, People's Republic of China.
Linyan WangDepartment of Clinical Laboratory, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, Gansu, People's Republic of China.
Xuemei DongDepartment of Clinical Laboratory, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, Gansu, People's Republic of China.
Zhipeng SunDepartment of Scientific & Application, Sysmex Shanghai Ltd, Shanghai, China.
Jiaojiao YinDepartment of Clinical Laboratory, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, Gansu, People's Republic of China.
Chong ZhangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, Gansu, People's Republic of China.ORCID 0000-0003-0440-7214
Weikai WangDepartment of Clinical Laboratory, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, Gansu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMycoplasma pneumoniae is a common cause of pneumonia in children over 5 years of age. Cell Population Data (CPD) is valuable for screening various diseases, including certain infections and myeloproliferative disorders, but less used in the diagnosis of children mycoplasma pneumoniae pneumonia (MPP).

aimsTo improve the diagnostic efficacy and severity assessment of MPP in children by combining CPD with inflammatory markers.

methodsThis study was conducted at the Gansu Provincial Maternity and Child-care Hospital, China. The data was accessed on 01.10.2024 for the purpose of research. A retrospective study from 01.10. 2022-01.01.2024 included three groups of children aged 5-9 years: 1) those with MPP (n = 240), of which 73 were mild, 167 were severe; 2) those with bacterial pneumonia (n = 52); and 3) those with health check-ups (n = 340). CPD indicators were measured by Sysmex XN-9000 (Kobe, Japan) hematology analyzer. Inflammatory markers included PCT (procalcitonin), LDH (lactate dehydrogenase), CK-MB (creatine kinase isoenzyme), CRP (c-reactive protein), SAA (serum amyloid A), APTT (activated partial thromboplastin time), FIB (fibrinogen). The differences and correlation of parameters between three groups were analyzed and receiver operating characteristic (ROC) analysis was performed.

resultsMost of the leukocyte parameter indices showed statistically significant differences between the MPP group and the healthy physical examination group (p < 0.05). Compared with bacterial pneumonia group, inflammatory markers were not correlated with the occurrence of MPP (p > 0.05), while LY-X and NE-WY were negatively correlated with the occurrence of MPP (p < 0.05). ROC analysis showed that the areas under the curve (AUC) for LY-X and NE-WY were 0.707 and 0.736, respectively. Additionally, LY-WY and MO-WZ are positively correlated with the severity of MPP (p < 0.05), and the AUC for MO-WZ was 0.709. Among the inflammatory markers, the AUC for SAA was 0.828, and combining SAA with MO-WZ increased the AUC to 0.861 in distinguishing mild from severe MPP.

conclusionPeripheral blood leukocyte parameters may have clinical application value for the early diagnosis and disease progression assessment of MPP.

Indexed as

LeukocytesMycoplasma pneumoniaePneumonia, MycoplasmaBiomarkersChildChild, PreschoolFemaleHumansInflammationLeukocyte CountMaleRetrospective StudiesROC CurveSeverity of Illness IndexBiomarkers

Identifiers

PMID40460103
PMCPMC12132943

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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.