Evidence map›Paper›PMID 37035208›Full record

ArticleFrontiers in oncology2023

Case Report: Clinical response to anaplastic lymphoma kinase inhibitor-based targeted therapy in uterine inflammatory myofibroblastic tumor harboring

Ting Zhao, Xiaowei Zhang, Xin Liu, Min Ren, Yufan Cheng, Jian Wang, Zhiguo Luo

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Case Report:Frontiers in oncology · 2025
    Article
  5. Review
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

7 authors at 2 institutions in 1 country.

Ting ZhaoDepartment of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaowei ZhangDepartment of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xin LiuDepartment of Head & Neck Tumors and Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
Min RenDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yufan ChengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Jian WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhiguo LuoDepartment of Gastrointestinal Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An inflammatory myofibroblastic tumor (IMT) is a mesenchymal tumor with a prevalence ranging from 0.04% to 0.7% worldwide, in which the lung is the most common predilection site, accounting for 33% of cases, followed by the abdomen, pelvis, mesentery, and uterus. Approximately 50% of uterine IMTs present as anaplastic lymphoma kinase (ALK) positive along with Case presentation: Herein we describe a 57-year-old woman who presented with a slow-growing mass in the uterus for over 10 years and then received surgical resection because of significant progressive enlargement of the mass during follow-up. She was diagnosed with uterine leiomyosarcoma (LMS) with no further interventions until recurrence. We revised the diagnosis to uterine IMT based on diffuse ALK expression,

Indexed as

ALK-IGFBP5 fusioncrizotinibinflammatory myofibroblastic tumorneutrophil-to-lymphocyte ratio (NLR)uterine inflammatory myofibroblastic

Identifiers

PMID37035208
PMCPMC10076585
OpenAlexW4360618490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.