Evidence map›Paper›PMID 33829674›Full record

ArticleThoracic cancer2021

Improved trends of lung cancer mortality-to-incidence ratios in countries with high healthcare expenditure.

Wen-Wei Sung, Kwong-Kwok Au, Han-Ru Wu, Chia-Ying Yu, Yao-Chen Wang

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 2 institutions in 1 country.

Wen-Wei SungDepartment of Urology, Chung Shan Medical University Hospital, Taichung, Taiwan.ORCID 0000-0002-2375-0029
Kwong-Kwok AuInstitute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Han-Ru WuSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Chia-Ying YuSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Yao-Chen WangSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Chung Shan Medical University Hospital · TWChung Shan Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer stage has a significant impact on prognosis, and early detection of lung cancer relies on screenings. Despite the strong relationship between screening and lung cancer staging, the role of healthcare expenditure in lung cancer outcomes remains unknown. The aim of this study was to evaluate the relationship between economic status and clinical outcomes in lung cancer.

methodsData were obtained from GLOBOCAN and the World Health Organization. Mortality-to-incidence ratios (MIRs) and their change over time, calculated as the difference between the MIRs of 2012 and 2018 (δMIR), were used to evaluate their correlation to expenditures on healthcare and human development index (HDI) disparities via Spearman's rank correlation coefficient.

resultsRegions such as North America have relatively high crude incidence rates but low MIR values. Furthermore, countries with lower crude incidence rates spent less on healthcare. The results show significant negative associations between HDI, current health expenditure (CHE) per capita, CHE as a percentage of gross domestic product (CHE/GDP), and MIR. As for MIR and δMIR, countries with favorable MIRs also showed improving MIRs based on δMIR.

conclusionsHDI, CHE per capita, CHE/GDP, and development status play noticeable roles in the prognosis of lung cancer, leading to large disparities in clinical outcomes.

Indexed as

Healthcare DisparitiesHealth ExpendituresHumansIncidenceLung NeoplasmsSurvival Analysisexpenditureincidencelung cancermortalitymortality-to-incidence ratio

Identifiers

PMID33829674
PMCPMC8169294
OpenAlexW3147193605

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.