Evidence map›Paper›PMID 39515858›Full record

ArticleBMJ open2024

Three-dimensional conformal radiation therapy with concurrent chemotherapy for stage III non-small cell lung cancer: protocol for a systematic review and meta-analysis.

Xiongfeng Huang, Qiao Chen, Yuxi Ren, Jingshu Zhu, Lu Xu, Shenghe Huang, Weijuan Li, Jianfeng Xu

Abstract read
In one paragraph

Article in BMJ open, 2024. 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

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Xiongfeng HuangFuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China.ORCID http://orcid.org/0009-0003-0022-4012
Qiao ChenJiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Yuxi RenJiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Jingshu ZhuFuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China.
Lu XuFuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China.
Shenghe HuangFuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China.
Weijuan LiFuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China.
Jianfeng XuFuzhou Medical College, Nanchang University, Fuzhou, Jiangxi, China jianfeng0862@163.com.ORCID http://orcid.org/0009-0006-5567-272X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer continues to be a common form of cancer worldwide and a primary contributor to cancer-related fatalities. Non-small cell lung cancer (NSCLC) is the most prevalent form, making up 80% to 85% of newly identified malignant lung tumours, and remains a major concern for worldwide health. Surgical resection is the preferred treatment for localised NSCLC, but more than one-third of patients present with locally advanced, unresectable tumours. Concurrent radiation therapy and chemotherapy are believed to offer the potential for prolonged disease-free and overall survival to those patients. However, the results are inconsistent, and systematic meta-analysis is lacking to evaluate its treatment effect comprehensively. Therefore, we will conduct a meta-analysis to evaluate the efficacy and safety of 3D-CRT concurrent chemotherapy in unresectable stage III NSCLC to provide evidence-based medical support for clinical treatment. METHODS AND ANALYSIS: This systematic review and meta-analysis will adhere to the guidelines outlined in the PRISMA statement. Based on the predetermined criteria for inclusion, we will conduct a comprehensive search for randomised controlled trials (RCTs) examining the efficacy and safety of three-dimensional conformal radiation therapy (3D-CRT) concurrent chemotherapy in unresectable stage III NSCLC. The search will be performed across multiple databases including PubMed, Embase, Cochrane, Scopus and Web of Science from inception to 1 November 2024 using terms including NSCLC, 3D-CRT concurrent chemotherapy, radiation therapy, RCT and controlled clinical trial. Furthermore, relevant literature citations will be gathered, and relevant journals will be manually searched. The primary outcomes in the study were overall survival; progression-free survival; 1-, 3- and 5-year survival rates; event-free survival; and median survival time. Secondary outcomes included treatment effectiveness, all adverse events (AEs), all treatment-related adverse events (TRAEs), AEs (grade ≥3) and TRAEs (grade ≥3). Two separate reviewers will be responsible for screening, extracting data and evaluating quality. Our reviewers will perform subgroup analysis, sensitivity analysis and publication bias analysis to evaluate the heterogeneity and robustness. Review Manager 5.4 will be used for the analysis and synthesis process. The risk of bias will be assessed using the Cochrane Risk of Bias tool (RoB 2), and the Grading of Recommendations Assessment, Development and Evaluation will be employed to evaluate the study's overall evidence quality. ETHICS AND DISSEMINATION: This study is based on a secondary analysis of the literature, so ethical review approval is not required. The final report will be published in a peer-reviewed journal.

trial registrationThe protocol of the systematic review has been registered on Open Science Framework, with a registration DOI https://doi.org/10.17605/OSF.IO/R7WCG.

Indexed as

Carcinoma, Non-Small-Cell LungChemoradiotherapyLung NeoplasmsRadiotherapy, ConformalSystematic Reviews as TopicHumansMeta-Analysis as TopicNeoplasm StagingResearch DesignCHEMOTHERAPYLung DiseasesMeta-AnalysisONCOLOGYRADIOTHERAPYw

Identifiers

PMID39515858
PMCPMC11552014

What OpenQuestion holds

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LicenceCC BY-NC
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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.