Evidence map›Paper›PMID 42694222›Full record

ArticleFrontiers in medicine2026

Early risk stratification of adverse progression in pediatric

Xiaoyu Yao, Zheng Liu

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

2 authors.

Xiaoyu YaoDepartment of Critical Care Medicine, Baoding First Central Hospital, Baoding, China.
Zheng LiuDepartment of Critical Care Medicine, Baoding First Central Hospital, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study sought to establish and externally validate an interpretable CT-based radiomics framework for early prediction of adverse disease progression in children with Methods: In this multicenter retrospective study, 419 children with MPP from three hospitals were assigned to training ( Results: Among the 419 included children, 70 developed adverse progression. In the training cohort, D-dimer, white blood cell count, systemic immune-inflammation index, lobar atelectasis, and number of involved lung lobes were significantly associated with progression (all Conclusion: An integrated model incorporating inflammatory indices, CT findings, and radiomics features showed promise for early risk stratification for adverse progression in pediatric MPP.

Indexed as

computed tomographymachine learningMycoplasma pneumoniae pneumoniaplastic bronchitisradiomics

Identifiers

PMID42694222
PMCPMC13538858

What OpenQuestion holds

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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.