Evidence map›Paper›PMID 39411141›Full record

ReviewFrontiers in oncology2024

Diagnosis and management of multiple primary lung cancer.

Honghong Dong, Yahui Tian, Shaowei Xin, Suxin Jiang, Yujie Guo, Zitong Wan, Yong Han

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Honghong DongDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Yahui TianDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Shaowei XinDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Suxin JiangDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Yujie GuoDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Zitong WanDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.
Yong HanDepartment of Thoracic Surgery, Air Force Medical Center, Air Force Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple primary lung cancer (MPLC), can be categorized as synchronous multiple primary lung cancer (sMPLC) and metachronous multiple primary lung cancer (mMPLC), which are becoming increasingly common in clinical practice. A precise differential diagnosis between MPLC and intrapulmonary metastases (IPM) is essential for determining the appropriate management strategy. MPLC is primarily diagnosed through histology, imaging, and molecular methods. Imaging serves as an essential foundation for preoperative diagnosis, while histology is a critical tool for establishing a definitive diagnosis. As molecular biology advances, the diagnosis of MPLC has stepped into the era of molecular precision. Surgery is the preferred treatment approach, with stereotactic radiotherapy and ablation being viable options for unresectable lesions. Targeted therapy and immunotherapy can be considered for specific patients. A multidisciplinary team approach to evaluation and the application of combination therapy can benefit more patients. Looking ahead, the development of more authoritative guidelines will be instrumental in streamlining the diagnosis and management of MPLC.

Indexed as

diagnosishistologymanagementmultiple primary lung cancersurgery

Identifiers

PMID39411141
PMCPMC11473257

What OpenQuestion holds

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LicenceCC BY
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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.