Evidence map›Paper›PMID 40901981›Full record

ArticleAging and disease2025

Decentralizing Pulmonary Screening for China's Aging Population: From Hospitals to Communities.

Leiwen Fu, Wei Shu, Yuxian Sun, Liang Li, Jian Du

Abstract readEditorial
In one paragraph

Article in Aging and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Leiwen FuBeijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Wei ShuBeijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Yuxian SunBeijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Liang LiBeijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Jian DuBeijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's aging population faces a growing burden of chronic respiratory diseases, straining the public health system. Despite the Healthy China 2030 plan's emphasis on prevention and early detection, systemic barriers, such as low public awareness, urban-rural disparities, fragmented screening models, and uneven specialist distribution, hinder effective pulmonary care for older adults. To address these challenges, a shift toward community-based strategies, including mobile low-dose CT (LDCT) screening units, is proposed. These units improve accessibility, especially in rural areas, while AI integration enhances diagnostic accuracy and telemedicine bridges specialist gaps. Strengthening local healthcare capacity through training, policy support, and coordinated care among community health stations, hospitals, and the CDC is critical. Community engagement further boosts participation and follow-up. Success will be measured by early diagnosis rates, reduced disparities, and cost-effectiveness. Aligning with Healthy China 2030, this integrated approach promises equitable, sustainable respiratory care for aging populations.

Indexed as

AgingLung DiseasesMass ScreeningAgedChinaHealth Services AccessibilityHumansTelemedicineTomography, X-Ray Computed

Identifiers

PMID40901981
PMCPMC13437117

What OpenQuestion holds

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LicenceCC BY
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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.