Evidence map›Paper›PMID 39185490›Full record

ArticleOncology letters2024

Immune checkpoint inhibitors with or without radiotherapy in metastatic non‑small cell lung cancer: A meta‑analysis and literature review.

Isah Adamu Danbala, Shengqiao Fu, Wanying Sheng, Haowen Tang, Mahmud Abdulkadir Magashi, Xu Wang

Abstract read
In one paragraph

Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

6 authors.

Isah Adamu DanbalaDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Shengqiao FuDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Wanying ShengDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Haowen TangDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.
Mahmud Abdulkadir MagashiOverseas Education College, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R. China.
Xu WangDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of immune checkpoint inhibitors (ICIs) and radiotherapy has shown promise in the treatment of metastatic non-small cell lung cancer (NSCLC). The present meta-analysis aimed to determine the efficacy and safety of combining radiotherapy (RT) ICIs for the treatment of metastatic NSCLC. PubMed, Google Scholar, the Cochrane Library and Web of Science databases were searched for relevant articles up to February 1, 2023. Post-therapy outcomes such as progression-free survival (PFS), complete response, partial response (PR), progressive disease (PD), stable disease and adverse events (AEs) were analyzed. The meta-analysis was performed using RevMan 5.4 software. A total of seven studies involving 682 patients were included (384 patients who received ICI + RT vs. RT and 298 patients who received ICI + RT vs. ICI alone). No significant difference in PFS was demonstrated between the ICI + RT group and the RT group (heterogeneity: χ

Indexed as

immune checkpoint inhibitorsimmunotherapymetastasisnon-small cell lung cancerstereotactic radiotherapy

Identifiers

PMID39185490
PMCPMC11342421

What OpenQuestion holds

Textmetadata
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.