Evidence map›Paper›PMID 39351363›Full record

ArticleFrontiers in oncology2024

Repeated CT scans on 12,984 Asians to diagnose lung cancer once it is suspected.

Vu Pham Thao Vy, Li-Nien Chien, Wan-Ting Chen, Wan-Ying Lin, Yeun-Chung Chang, Hsian-He Hsu, Wing P Chan

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

7 authors.

Vu Pham Thao VyInternational PhD Program of Medicine, Taipei Medical University, Taipei, Taiwan.
Li-Nien ChienInstitute of Health and Welfare Policy, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Wan-Ting ChenHealth Data Analytics and Statistics Center, Office of Data Science, Taipei Medical University, New Taipei City, Taiwan.
Wan-Ying LinTaiwan Radiological Society, Taipei, Taiwan.
Yeun-Chung ChangDepartment of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan.
Hsian-He HsuDepartment of Radiology, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan.
Wing P ChanDepartment of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Taiwan, lung cancer remains the leading cause of cancer-related fatalities, resulting in substantial healthcare expenses. This research aims to evaluate both the frequency and the costs of low-dose computed tomography (LDCT) in individuals suspected of having lung cancer until their diagnosis of cancer. LDCT screening was not conducted on a population-wide scale, and asymptomatic participants had to cover the expenses for the screening personally or reimburse from other sources. If the screening results were positive or suspicious, National Health Insurance (NHI) could be utilized for subsequent follow-up examinations. This cohort study utilized the NHI Database and focused on individuals with suspected cases of lung cancer identified between 2010 and 2014. A total of 17,572 suspected new lung cancer cases were initially identified and assigned to the relevant International Classification of Diseases codes. Individuals with suspected lung cancer received a diagnosis following an average follow-up period of 2.24 (95%CI, 2.11-2.37) years, and required the use of 2.36 (95%CI, 2.20-2.51) repeated CT scans. The NHI expenditures incurred by the use of CT scans for monitoring suspected lung cancer cases were relatively modest.

Indexed as

Asiancancer screeningcomputed tomography (CT) scancostlung cancer

Identifiers

PMID39351363
PMCPMC11439619

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.