Evidence map›Paper›PMID 39296463›Full record

ArticleJTCVS open2024

Identifying Asian American lung cancer disparities: A novel analytic approach.

Yunna Gu, Les R Becker, Puja G Khaitan, John F Lazar

Abstract read
In one paragraph

Article in JTCVS open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yunna GuGeorgetown University School of Medicine, Washington, DC.
Les R BeckerMedStar Institute for Innovation, Simulation Training, and Education Lab, MedStar Health, Washington, DC.
Puja G KhaitanDepartment of Thoracic Surgery, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
John F LazarDivision of Thoracic Surgery, MedStar Washington Hospital Center, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Asian Americans include heterogeneous subpopulations with unique burden as the only racial group with cancer as the leading cause of death. The purpose of the study was to identify differences in clinical stage and survival of patients with lung cancer between Asian Americans and its subgroups relative to other racial groups. Methods: Patients with lung cancer from 2016 National Cancer Database were divided into East Asian, Southeast Asian, South Asian subgroups based on geographic origins, and a composite Asian American group with White non-Hispanic, Black, and Hispanic comparison groups. Columnar Results: A total of 825,448 patients were analyzed. Asian Americans were underrepresented relative to White non-Hispanics in all clinical stages except IIIB and IV. In clinical stage IV, Asian Americans (51.0%), East Asians (47.2%), Southeast Asians (57.4%), and South Asians (52.2%) were overrepresented relative to White non-Hispanics (42.2%) and Southeast Asians were overrepresented relative to East Asians and South Asians. For survival across all stages, Asian Americans were overrepresented relative to White non-Hispanics and Blacks, but in clinical stage IV, Southeast Asians (17.9%) were underrepresented relative to East Asians (26.0%) and South Asians (26.6%). Conclusions: This is the first study to address lung cancer disparity in Asian American subgroups employing a novel analytical approach. Asian American subgroups demonstrated more advanced lung cancer diagnosis yet higher survival compared with White non-Hispanics, Blacks, and/or Hispanics with differences between subgroups. Interplay of complex factors may contribute to Asian American health disparities.

Indexed as

Asian Americanscolumnar z-score analysishealth care disparitieslung cancerlung cancer survivorshipsmoking cessation

Identifiers

PMID39296463
PMCPMC11405975

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.