ArticleScientific reports2024
Predictive value of lactate dehydrogenase for Mycoplasma pneumoniae necrotizing pneumonia in children based on decision curve analysis and dose-response analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Machine learning-based prediction models for severeFrontiers in public health · 2026Pooled it
- East Asia as a sentinel: risk-stratified corticosteroid therapy for paediatric macrolide-resistantEuropean respiratory review : an official journal of the European Respiratory Society · 2026Review
- Construction of a risk prediction model for multiple bronchoalveolar lavages in children with necrotizing pneumonia based on LASSO regression.Pediatric research · 2026Article
- Article
- Clinical analysis of Mycoplasma pneumoniae necrotizing pneumonia in children.BMC infectious diseases · 2026Article
- A Novel Nomogram Integrating Clinical, Radiological, and Immunological Indicators for Early Prediction of SevereJournal of inflammation research · 2026Article
- Soluble ST2 as a biomarker for predicting severe adverse events among pediatric patients with Mycoplasma pneumoniae pneumonia.PloS one · 2026Article
- Explainable machine learning for diagnosing severeFrontiers in pediatrics · 2026Article
- Non-linear associations between inflammatory biomarkers andFrontiers in pediatrics · 2026Article
- Lung ultrasound radiomics for identifying severeFrontiers in pediatrics · 2026Article
- Macrolide-resistantFrontiers in pediatrics · 2026Article
- Association Between Pre-Admission 48-Hour Fever Burden and Outcomes in Pediatric Mycoplasma Pneumoniae Infection.Mediterranean journal of hematology and infectious diseases · 2026Article
- Machine learning-based identification of inflammatory biomarkers for predicting pulmonary consolidation in children with Chlamydia pneumoniae infection.Frontiers in pediatrics · 2026Article
- A Comprehensive Review of Pediatric Necrotizing Pneumonia.Children (Basel, Switzerland) · 2025Review
- Comparative seroepidemiology ofTranslational pediatrics · 2025Article
- A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.Scientific reports · 2025Article
- Dynamic changes of pulmonary function and immune function in children with mycoplasma pneumonia of different severity and their predictive value for disease prognosis: a retrospective cohort study.Frontiers in medicine · 2025Article
- Biomarkers associated with the diagnosis and prognosis ofFrontiers in cellular and infection microbiology · 2025Review
- Significance of respiratory virus coinfection in children with Mycoplasma pneumoniae pneumonia.BMC pulmonary medicine · 2024Article
- [Risk factors for the occurrence of bronchiolitis obliterans in children with refractoryZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Mycoplasma pneumoniae necrotizing pneumonia (MPNP) has a long and severe disease course, which seriously threatens to jeopardize patients' lives and health. Early prediction is essential for good recovery and prognosis. In the present study, we retrospect 128 children with MPNP and 118 children with Mycoplasma pneumoniae pneumonia combined with pulmonary consolidation to explore the predictive value of lactate dehydrogenase (LDH) in children with MPNP by propensity score matching method, multiple logistic regression analysis, dose-response analysis and decision curve analysis. The WBC count, PLT count and percentage of neutrophils were significantly higher in necrosis group than consolidation group. The serum CRP, PCT, ESR, D-D, FIB, ALT, LDH, IgG and IgM were significantly higher in necrosis group. Compared to consolidation group, necrosis group is more severe in chest pain and dyspnea. Multivariate logistic regression analysis showed that duration of LDH levels, high fever, D-dimer, and fibrinogen were independent predictive factors for the incidence of MPNP. Restricted cubic spline analysis showed that a non-linear dose-response relationship between the continuous changes of LDH level and the incidence of MPNP. Decision curve analysis revealed that LDH had an important clinical value in predicting MPNP. This study provides a potential serologic indicator for early diagnosis of MPNP.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.