Evidence map›Paper›PMID 41492104›Full record

ArticleAnnals of medicine2026

Management of potentially curable colorectal lung metastases with synchronous systemic therapy and percutaneous image-guided thermal ablation.

Hongjie Fan, Bufu Tang, Xiangjun Dong, Yulan Zeng, Xinyue Gu, Xiangwen Xia, Jihong Hu, Cheng Wan, Rong Ding, Xinghai Li and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of 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

19 authors.

Hongjie FanDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bufu TangDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiangjun DongDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yulan ZengCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xinyue GuCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiangwen XiaDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jihong HuDepartment of Minimally Invasive Intervention, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Cheng WanDepartment of Minimally Invasive Intervention, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Rong DingDepartment of Minimally Invasive Intervention, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
Xinghai LiDepartment of Minimally Invasive Intervention, Ganzhou People's Hospital, Ganzhou, China.
Fenhua ZhaoDepartment of Radiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
Chunlong FuDepartment of Radiology, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, China.
Jiangping CunDepartment of Radiology, Second Affiliated Hospital of Kunming Medical University, Kunming, China.
An LiDepartment of Interventional, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Sciences, Xiangyang, China.
Xuancheng XieDepartment of Radiology, The First People's Hospital of Yunnan Province, Kunming, China.
Shufeng XuDepartment of Radiology, Quzhou Hospital Affiliated to Wenzhou Medical University, Quzhou, China.
Kun QianDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuefeng KanDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chuansheng ZhengDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the survival benefit of synchronous systemic therapy plus thermal ablation (TA) in oligometastatic colorectal lung metastases (CRLM) and identify independent prognostic factors.

backgroundOptimizing the integration of systemic therapy and TA for potentially curable CRLM remains a significant clinical challenge.

methodsThis study employed a retrospective cohort design, including 326 patients who underwent TA treatment at six tertiary medical centers from March 2014 to October 2022. Patients were categorized into synchronous therapy, upfront ablation, delayed ablation, and no systemic therapy groups based on the timing of systemic therapy relative to TA. Kaplan-Meier analysis and log-rank tests were used to assess survival outcomes.

resultsSynchronous systemic therapy yielded the longest median progression-free survival (PFS) (22.0 months) and overall survival (OS) (61.3 months) compared to delayed ablation (13.0 and 49.2 months, respectively) and no systemic therapy (11.9 and 29.3 months, respectively) (all

conclusionsSynchronous systemic therapy combined with TA significantly enhances PFS and OS in potentially curable oligometastatic CRLM patients.

Indexed as

Colorectal NeoplasmsLung NeoplasmsAdultAgedCombined Modality TherapyFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesColorectal lung metastasesimage-guided thermal ablationlocal tumor progressionsurvival outcomessystemic therapy

Identifiers

PMID41492104
PMCPMC12777934

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.