Evidence map›Paper›PMID 29238168›Full record

SynthesisDrug design, development and therapy2017

The role of maintenance therapy in the treatment of elderly non-small-cell lung cancer patients: a meta-analysis of randomized controlled trials.

Liangze Zhang, Shugeng Gao, Jie He

Erratum issuedAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Drug design, development and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  2. Frontiers in pharmacology · 2021
    Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Liangze ZhangDepartment of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Shugeng GaoDepartment of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Jie HeDepartment of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Maintenance therapy is an effective treatment strategy for advanced non-small-cell lung cancer (NSCLC). We aim to investigate whether age would affect the efficacy of maintenance therapy in the treatment of advanced NSCLC. Materials and methods: Relevant trials were identified by searching electronic databases and conference meetings. Prospective randomized controlled trials assessing maintenance therapy in elderly patients with advanced NSCLC were included. Outcomes of interest included overall survival (OS) and progression-free survival (PFS) in elderly patients with advanced NSCLC. Results: A total of 2,724 patients from 5 randomized controlled trials were included for analysis, with 897 patients aged ≥65 years and 1,577 patients aged <65 years. Single-agent maintenance therapy in elderly patients significantly improved PFS (hazard ratio [HR] 0.65, 95% CI: 0.43-0.98, Conclusions: The findings of this study suggest that single-agent maintenance therapy in elderly patients with advanced NSCLC offers an improved PFS and OS when compared with placebo. Further trials are recommended to clearly investigate the efficacy of combination maintenance therapy for advanced NSCLC in this setting.

Indexed as

AgedAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsRandomized Controlled Trials as Topicelderlylung neoplasmmaintenance therapymeta-analysisnon-small-cell lung canceroldersystematic review

Identifiers

PMID29238168
PMCPMC5716332

What OpenQuestion holds

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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.