Evidence map›Paper›PMID 38927119›Full record

ArticleBiomolecules2024

Accurate Early Detection and

Zhixin Bie, Yi Ping, Xiaoguang Li, Xun Lan, Lihui Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Biomolecules · 2024
    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.

Zhixin BieDepartment of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Street, Beijing 100730, China.
Yi PingDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China.ORCID 0009-0003-9143-0208
Xiaoguang LiDepartment of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dongdan Dahua Street, Beijing 100730, China.
Xun LanDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China.
Lihui WangDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a major global health concern with a low survival rate, often due to late-stage diagnosis. Liquid biopsy offers a non-invasive approach to cancer detection and monitoring, utilizing various features of circulating cell-free DNA (cfDNA). In this study, we established two models based on cfDNA coverage patterns at the transcription start sites (TSSs) from 6X whole-genome sequencing: an Early Cancer Screening Model and an

Indexed as

Cell-Free Nucleic AcidsEarly Detection of CancerErbB ReceptorsLung NeoplasmsMutationAgedBiomarkers, TumorCirculating Tumor DNAFemaleHumansLiquid BiopsyMaleMiddle AgedProof of Concept StudyTranscription Initiation SiteWhole Genome SequencingBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAEGFR protein, humanErbB ReceptorscfDNAcoverage patterns at the transcription start sitesearly cancer screeningEGFR mutation status predictionmachine learning

Identifiers

PMID38927119
PMCPMC11202186

What Socratic 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 Socratic graph.