Evidence map›Paper›PMID 38486189›Full record

ArticleBMC cancer2024

Is low-dose computed tomography for lung cancer screening conveniently accessible in China? A spatial analysis based on cross-sectional survey.

Jay Pan, Jianjian Wang, Wenjuan Tao, Chaohui Wang, Xiaojun Lin, Xiuli Wang, Ruicen Li

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

7 authors.

Jay Pan *HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Jianjian Wang *HEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Wenjuan TaoInstitute of Hospital Management, West China Hospital, Sichuan University, Chengdu, China.
Chaohui WangHEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Xiaojun LinHEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Xiuli WangHEOA Group, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. wang_xiuli@scu.edu.cn.
Ruicen LiHealth Management Center and General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China. 991701168@qq.com.

Funding

Chengdu Federation of Social Science Association ZZ05Discipline Excellence Development 1.3.5 Engineering Project of West China Hospital in Sichuan University ZYJC18001National Natural Science Foundation of China 72204175, 72204031, 72104159, 72104158, 42071379Sichuan Province Science and Technology Support Program 2022NSFSC0642
6 · The paper itself

Abstract

backgroundRegular Low-Dose Computed Tomography (LDCT) for lung cancer high-risk population has been proved to improve health outcomes and relieve disease burden efficiently for both individual and society. With geographical impedance becoming the major barrier preventing patients from getting timely healthcare service, this study incorporated health seeking behavior in estimating spatial accessibility of relative scarce LDCT resource in China, thus to provide real-world evidence for future government investment and policy making.

methodsTaking Sichuan Province in southwest China as the study area, a cross-sectional survey was first carried out to collect actual practice and preferences for seeking LDCT services. Using Computed Tomography (CT) registration data reported by owner institutions representing LDCT services capacity, and grided town-level high-risk population as demand, the Nearest Neighbor Method was then utilized to calculate spatial accessibility of LDCT services.

resultsA total of 2,529 valid questionnaires were collected, with only 34.72% of the high-risk populations (746 individuals) followed the recommended annual screening. Participants preferred to travel to municipal-level and above institutions within 60 min for LDCT services. Currently, every thousand high-risk populations own 0.0845 CT scanners in Sichuan Province, with 96.95% able to access LDCT within 60 min and over half within 15 min. Urban areas generally showed better accessibility than rural areas, and the more developed eastern regions were better than the western regions with ethnic minority clusters.

conclusionsSpatial access to LDCT services is generally convenient in Sichuan Province, but disparity exists between different regions and population groups. Improving LDCT capacity in county-level hospitals as well as promoting health education and policy guidance to the public can optimize efficiency of existing CT resources. Implementing mobile CT services and improving rural public transportation may alleviate emerging disparities in accessing early lung cancer detection.

Indexed as

Early Detection of CancerLung NeoplasmsChinaCross-Sectional StudiesEthnicityHumansMinority GroupsSpatial AnalysisTomography, X-Ray ComputedHealth disparitiesLow-dose computed tomographyLung cancer screeningSpatial analysis

Identifiers

PMID38486189
PMCPMC10941474

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LicenceCC BY
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Registered trials

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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.