Evidence map›Paper›PMID 31942192›Full record

ArticleJournal of Cancer2020

Efficacy of EGFR-TKIs with or without angiogenesis inhibitors in advanced non-small-cell lung cancer: A systematic review and meta-analysis.

Zhaoxin Chen, Jia Wei, Xiaoting Ma, Jing Yu

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Zhaoxin ChenCancer Center, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Jia WeiCancer Center, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Xiaoting MaCancer Center, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Jing YuCancer Center, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Capital Medical University · CNBeijing Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, we evaluated the efficacy and safety of epidermal growth factor receptor tyrosine kinases (EGFR-TKIs) combined with or without angiogenesis inhibitors in advanced non-small-cell lung cancer (NSCLC). We searched published randomized controlled trials (RCTs) comparing EGFR-TKIs with and without angiogenesis inhibitors for the treatment of advanced NSCLC. PubMed, EMBASE, PMC, the American Society of Clinical Oncology (ASCO) and the European Society of Medical Oncology (ESMO) databases were searched. The extracted data on progression-free survival (PFS) and overall survival (OS) were measured in terms of hazard ratios (HRs) and corresponding 95% confidence intervals (CIs). In addition, odds ratios (ORs) and corresponding 95% CIs were pooled for objective response rate (ORR) and disease control rate (DCR). Risk ratios (RRs) and corresponding 95% CIs were pooled for risk of adverse events (AEs). EGFR-TKIs combined with angiogenesis inhibitors showed significant improvements in PFS (HR 0.72, 95% CI 0.61-0.84,

Indexed as

angiogenesisEGFR-TKINSCLC

Identifiers

PMID31942192
PMCPMC6959046
OpenAlexW3009427176

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.