ReviewChinese medical journal2026
Expanding role of cell-free DNA for the early diagnosis and monitoring of pulmonary diseases.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Circulating Cell-Free DNA in Psychiatric Disorders: Current Evidence, Inflammation-Based Stratification, and Future Perspectives.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.