Evidence map›Paper›PMID 31372283›Full record

ArticleJournal of thoracic disease2019

The

Xiumei Peng, Xiaoliang Liu, Long Xu, Yuemin Li, Huaiqing Wang, Lele Song, Wenhua Xiao

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. DNA Methylation Analysis of theJournal of oncology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Signaling pathways and clinical application of RASSF1A and SHOX2 in lung cancer.Journal of cancer research and clinical oncology · 2020
    Review
  10. Article
  11. 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

7 authors at 3 institutions in 1 country.

Xiumei PengThe Chinese PLA Medical College and the Chinese PLA General Hospital, Beijing 100853, China.
Xiaoliang LiuDepartment of Radiotherapy, the Chinese PLA General Hospital, Beijing 100853, China.
Long XuDepartment of Oncology, the General Hospital of the Chinese PLA Northern Theater Command, Shenyang 110016, China.
Yuemin LiThe Chinese PLA Medical College and the Chinese PLA General Hospital, Beijing 100853, China.
Huaiqing WangDepartment of Radiotherapy, the Eighth Medical Center of the Chinese PLA General Hospital, Beijing 100091, China.
Lele SongThe Chinese PLA Medical College and the Chinese PLA General Hospital, Beijing 100853, China.
Wenhua XiaoThe Chinese PLA Medical College and the Chinese PLA General Hospital, Beijing 100853, China.
Chinese PLA General Hospital · CNBeijing Biocytogen (China) · CNGeneral Hospital of Shenyang Military Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInstant monitoring of the therapeutic effect of systematic therapy in late-stage lung cancer is crucial for response assessment and strategy adjustment. Previous study found that specific plasma methylation markers may be applied to therapeutic effect assessment. In order to investigate the performance of plasma

methodsBlood samples from 163 subjects, including 30 stage I, 29 stage II, 26 stage III and 68 stage IV lung cancer patients, were recruited in this study. Quantitative relationship between primary tumor size and the plasma

resultsSharp decrease of plasma

conclusions

Indexed as

circulating tumor DNA (ctDNA)lung cancermethylationmSHOX2prognosisSHOX2therapy

Identifiers

PMID31372283
PMCPMC6626805
OpenAlexW2949538987

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.