Evidence map›Paper›PMID 40980125›Full record

ArticleFrontiers in pediatrics2025

Inflammatory myofibroblastic tumors in children: a single-center retrospective study of clinical features, management, and outcomes.

FeiYue Guo, QiangQiang Cui, Yang Lei, HongWei Xi

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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

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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. Review
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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

4 authors.

FeiYue GuoDepartment of General Surgery, Shanxi Provincial Children's Hospital, Taiyuan, China.
QiangQiang CuiDepartment of General Surgery, Shanxi Provincial Children's Hospital, Taiyuan, China.
Yang LeiDepartment of Pathology, Shanxi Provincial Children's Hospital, Taiyuan, China.
HongWei XiDepartment of General Surgery, Shanxi Provincial Children's Hospital, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory myofibroblastic tumor (IMT) is a rare mesenchymal neoplasm of intermediate malignant potential. While its clinicopathologic features have been described in adults, comprehensive data in the pediatric population remain limited. Methods: We retrospectively reviewed pediatric patients diagnosed with IMT at Shanxi Provincial Children's Hospital between January 2016 and June 2024. Clinical data, imaging, histopathology, immunohistochemistry (IHC), and outcomes were systematically analyzed. Results: A total of 16 patients with complete clinical data and follow-up information were included. There were 10 male and 6 female patients, with a median age of 5.0 years. The primary tumor locations and clinical manifestations were diverse: 8 cases were located in the abdominal and pelvic cavities, presenting with abdominal pain, nausea, vomiting, and fever; 4 cases were located in the head, neck, and facial region, with 3 presenting as painless localized masses and 1 with inspiratory dyspnea; 1 case each occurred in the chest wall, gluteal region, and left upper limb, all presenting with painless localized masses; and 1 case occurred in the lung, presenting with cough, sputum, and recurrent respiratory infections. All 16 patients underwent surgery; three developed local recurrence requiring re-operation. At last follow-up, 15 were disease-free and one remained stable on ALK-targeted therapy. Conclusion: Pediatric IMT is a rare, low-grade malignancy with favorable prognosis. Complete surgical resection remains the cornerstone of treatment. ALK-targeted therapy may benefit patients with unresectable or recurrent disease. Long-term surveillance is warranted due to the risk of recurrence.

Indexed as

ALK-targeted therapydiagnosis and treatmentinflammatory myofibroblastic tumorpediatricssurgery

Identifiers

PMID40980125
PMCPMC12443843

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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.