Involved field radiotherapy IFRT versus elective nodal irradiation ENI for locally advanced non-small cell lung cancer: a meta-analysis of incidence of elective nodal failure ENFReport as inadecuate




Involved field radiotherapy IFRT versus elective nodal irradiation ENI for locally advanced non-small cell lung cancer: a meta-analysis of incidence of elective nodal failure ENF - Download this document for free, or read online. Document in PDF available to download.

Radiation Oncology

, 11:124

Clinical Radiation Oncology

Abstract

Background and purposeThe use of involved field radiotherapy IFRT has generated concern about the increasing incidence of elective nodal failure ENF in contrast to elective nodal irradiation ENI. This meta-analysis aimed to provide more reliable and up-to-date evidence on the incidence of ENF between IFRT and ENI.

Materials and methodsWe searched three databases for eligible studies where locally advanced non-small cell lung cancer NSCLC patients received IFRT or ENI. Outcome of interest was the incidence of ENF. The fixed-effects model was used to pool outcomes across the studies.

ResultsThere were 3 RCTs and 3 cohort studies included with low risk of bias. There was no significant difference in incidence of ENF between IFRT and ENI either among RCTs RR = 1.38, 95 % CI: 0.59–3.25, p = 0.46 or among cohort studies RR = 0.99, 95 % CI: 0.46–2.10, p = 0.97. There was also no significant difference in incidence of ENF between IFRT and ENI when RCTs and cohort studies were combined RR = 1.15, 95 % CI: 0.65–2.01, p = 0.64. I of test for heterogeneity was 0 %.

ConclusionThis meta-analysis provides more reliable and stable evidence that there is no significant difference in incidence of ENF between IFRT and ENI.

KeywordsNon-small cell lung cancer Involved field radiotherapy Elective nodal irradiation Elective nodal failure AbbreviationsENFElective nodal failure

ENIElective nodal irradiation

IFRTInvolved field radiotherapy

Electronic supplementary materialThe online version of this article doi:10.1186-s13014-016-0698-3 contains supplementary material, which is available to authorized users.

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Author: Ruijian Li - Liang Yu - Sixiang Lin - Lina Wang - Xin Dong - Lingxia Yu - Weiyi Li - Baosheng Li

Source: https://link.springer.com/



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