Evidence map›Paper›PMID 41603032›Full record

ReviewChinese medical journal2026

Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.

Liuqing Yang, Yu Gu, Jun Shao, Li Zhang, Chengdi Wang

Abstract readReview
In one paragraph

Review in Chinese medical journal, 2026. 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. Review
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.

Liuqing YangDepartment of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
Yu GuWest China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
Jun ShaoDepartment of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
Li ZhangDepartment of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
Chengdi WangDepartment of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Targeted Tracer Research and Development Laboratory, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractCirculating cell-free DNA (cfDNA) has firmly established itself as a cornerstone of liquid biopsy, advancing the noninvasive diagnosis and monitoring of pulmonary diseases. Its molecular characteristics, particularly methylation profiles, fragmentation patterns, and mutations, now enable a range of clinical applications-from early detection of lung cancer to rapid pathogen identification and severity assessment in pneumonia, and to precise risk stratification in chronic conditions such as chronic obstructive pulmonary disease and asthma. Beyond diagnostic applications, dynamic changes in cfDNA levels and profiles provide critical insights into disease monitoring across a spectrum of pulmonary disorders. While challenges in detection sensitivity, analytical standardization, and clinical validation remain, the ongoing integration of multi-omics data and artificial intelligence is refining the predictive power of cfDNA-based models. Future developments are expected to consolidate the role of cfDNA analysis as an indispensable tool in precision pulmonology, ultimately transforming diagnostic pathways and enabling more personalized, proactive management of respiratory health.

Indexed as

Cell-Free Nucleic AcidsLung DiseasesDNA MethylationEarly DiagnosisHumansLiquid BiopsyLung NeoplasmsCell-Free Nucleic AcidsBiomarkersCell-free DNADNA methylationLiquid biopsyPulmonary diseases

Identifiers

PMID41603032
PMCPMC13090082

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.