Evidence map›Paper›PMID 31803539›Full record

ArticlePeerJ2019

Yan-Yan Liu, Zhong-Xian Yang, Li-Min Ma, Xu-Qing Wen, Huan-Lin Ji, Ke Li

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 3 institutions in 1 country.

Yan-Yan Liu *Department of Ultrasound, Shenzhen Bao'an Maternity & Child Healthcare Hospital, Shenzhen, Guangdong, China.
Zhong-Xian Yang *Department of Medical Imaging Center, the 2nd Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China.
Li-Min MaDepartment of Cardiothoracic Surgery, the 2nd Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China.
Xu-Qing WenDepartment of Cardiothoracic Surgery, the 2nd Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, China.
Huan-Lin JiDepartment of Public Health, Shantou University Medical College, Shantou, Guangdong, China.
Ke LiDepartment of Public Health, Shantou University Medical College, Shantou, Guangdong, China.
Shantou University · CNShantou University Medical College · CNShenzhen Maternity and Child Healthcare Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) is one of the most prevalent types of upper gastrointestinal malignancies. Here, we used

methodsSixty-five serum samples from early stage ESCC patients (

resultsUsing OPLS-DA, 31 altered serum metabolites were successfully identified between the groups. Based on the area under the ROC curve (AUROC), and the biomarker panel with AUROC of 0.969, six serum metabolites (α-glucose, choline, glutamine, glutamate, valine, and dihydrothymine) were selected as potential biomarkers for early stage ESCC. Dihydrothymine particularly was selected as a new feasible biomarker associated with tumor occurrence.

conclusions

Indexed as

1H- NMR spectroscopyBiomarkerEsophageal squamous cell carcinomaMetabolomics

Identifiers

PMID31803539
PMCPMC6886491
OpenAlexW2990515027

What OpenQuestion 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 OpenQuestion graph.