Evidence map›Paper›PMID 37195663›Full record

ArticleJAMA network open2023

Assessment of Tyrosine Kinase Inhibitors and Survival and Cardiovascular Outcomes of Patients With Non-Small Cell Lung Cancer in Taiwan.

Wei-Ting Chang, Hui-Wen Lin, Ting-Chia Chang, Sheng-Hsiang Lin, Yi-Heng Li

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

5 authors at 4 institutions in 1 country.

Wei-Ting ChangInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Hui-Wen LinDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Ting-Chia ChangDivision of Pulmonology, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Sheng-Hsiang LinInstitute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yi-Heng LiDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
National Cheng Kung University Hospital · TWChi Mei Medical Center · TWNational Cheng Kung University · TWSouthern Taiwan University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Tyrosine kinase inhibitors (TKIs) have been recognized as the standard treatment for patients with non-small cell lung cancers (NSCLCs) and epidermal growth factor receptor (EGFR) sequence variation. Although TKIs have been reported to cause cardiotoxicity, they are widely administered owing to the high prevalence of EGFR sequence variation in Taiwan. Objective: To compare the outcomes of death and major adverse cardiac and cerebrovascular events among patients with NSCLC who use and do not use TKIs in a national cohort. Design, Setting, and Participants: Using data from the Taiwanese National Health Insurance Research Database and National Cancer Registry, patients treated for NSCLC from 2011 to 2018 were identified, and their outcomes were analyzed, including death and major adverse cardiac and cerebrovascular events (MACCEs; such as heart failure, acute myocardial infarction, and ischemic stroke) after adjusting for age, sex, cancer stage, comorbidities, anticancer therapies, and cardiovascular drugs. The median follow-up duration was 1.45 years. The analyses were performed from September 2022 to March 2023. Exposures: TKIs. Main Outcomes and Measures: Cox proportional hazards models were used to estimate death and MACCEs in patients treated with and without TKIs. Given that death may reduce the incidence of cardiovascular events, the competing risk method was used to calculate the MACCE risk after adjustment for all potential confounders. Results: Overall, 24 129 patients treated with TKIs were matched with 24 129 patients who did not receive TKIs (24 215 [50.18%] were female; and the mean [SD] age was 66.93 [12.37] years). Compared with those not receiving TKIs, the TKI group presented with a significantly lower hazard ratio (HR) of all-cause death (adjusted HR, 0.76; 95% CI, 0.75-0.78; P < .001), and the reason for death was primarily cancer. In contrast, the HR of MACCEs significantly increased (subdistribution HR, 1.22; 95% CI, 1.16-1.29; P < .001) in the TKI group. Furthermore, afatinib use was associated with a significantly reduced risk of death among patients receiving various TKIs (adjusted HR, 0.90; 95% CI, 0.85-0.94; P < .001) compared with those receiving erlotinib and gefitinib, although the outcomes of MACCEs were similar between the 2 groups. Conclusions and Relevance: In this cohort study of patients with NSCLC, TKI use was associated with reduced HRs of cancer-related death but increased HRs of MACCEs. These findings suggest the importance of close monitoring of cardiovascular problems in individuals receiving TKIs.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsChildCohort StudiesErbB ReceptorsFemaleHumansMaleProtein Kinase InhibitorsTaiwanTyrosine Kinase InhibitorsErbB ReceptorsProtein Kinase InhibitorsTyrosine Kinase Inhibitors

Identifiers

PMID37195663
PMCPMC10193184
OpenAlexW4376871783

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.