Evidence map›Paper›PMID 34859599›Full record

SynthesisThoracic cancer2022

Efficacy and safety of bevacizumab combined with EGFR-TKIs in advanced non-small cell lung cancer: A meta-analysis.

Yifan Yang, Liming Wang, Xu Li, Shuai Zhang, Jiangyong Yu, Xin Nie, Wenbo Liu, Xiaonan Wu, Ping Zhang, Yi Li and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 24% of its field
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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
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

12 authors at 1 institution in 1 country.

Yifan YangChinese Academy of Medical Sciences & Peking Union Medical College, Beijing, Peoples Republic of China.
Liming WangDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Xu LiDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Shuai ZhangDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Jiangyong YuDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Xin NieDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.ORCID 0000-0003-2759-2950
Wenbo LiuDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Xiaonan WuDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Ping ZhangDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Yi LiDepartment of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Ailing LiInstitute of Microcirculation, Peking University Medical College & Chinese Academy of Medical Sciences, Beijing, Peoples Republic of China.
Bin AiGraduate School of Peking Union Medical College, Beijing, Peoples Republic of China.ORCID 0000-0001-7257-751X
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to estimate the efficacy and safety of bevacizumab combined with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs) in advanced non-small cell lung cancer (NSCLC) patients.

methodsWe searched randomized controlled trials (RCTs) on bevacizumab combined with EGFR TKIs in the NSCLC Cochrane Library, Web of Science, PubMed and Embase. The data were extracted and assessed according to the Cochrane Handbook. We calculated the hazard ratio (HR), risk ratio (RR), and confidence interval (CI), and accomplished this meta-analysis with Stata 14 software.

resultsOf 1301 articles scanned, five articles were involved in this meta-analysis. We determined that compared with using EGFR TKIs alone, combination treatment significantly prolongs progression-free survival (PFS) (HR = 0.61, 95% CI = 0.52-0.70; p < 0.001), and increases the objective response rate (ORR) (RR = 1.15, 95% CI: 1.01-1.30, p = 0.10). However, there was no significant difference in overall survival (OS) between the two groups (HR = 0.95, 95% CI = 0.78-1.11; p = <0.001) and combination treatment increases the risks of serious adverse events (SAEs) (RR = 1.58, 95% CI: 1.21-2.05, p = 0.002).

conclusionsBevacizumab combined with EGFR-TKI significantly improves PFS and ORR in patients with advanced NSCLC, but there is no substantial difference in OS and increase the risks of serious adverse events.

Indexed as

Antineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCarcinoma, Non-Small-Cell LungDrug Therapy, CombinationErbB ReceptorsHumansLung NeoplasmsProgression-Free SurvivalProtein Kinase InhibitorsRandomized Controlled Trials as TopicAntineoplastic Agents, ImmunologicalBevacizumabErbB ReceptorsProtein Kinase InhibitorsbevacizumabcancerEGFR-TKImeta-analysisNSCLC

Identifiers

PMID34859599
PMCPMC8720617
OpenAlexW3215491302

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.