Evidence map›Paper›PMID 31781361›Full record

ArticleJournal of healthcare engineering2019

Wnt/

Pengliang Chen, Pengwei Shi, Gang Du, Zhen Zhang, Liang Liu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of healthcare engineering, 2019. 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
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Pengliang ChenDepartment of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Pengwei ShiDepartment of Emergency, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Gang DuDepartment of Bioinformatics, Guangzhou GenCoding Lab, Guangzhou, Guangdong 510670, China.
Zhen ZhangDepartment of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong General Hospital, Guangdong Academy of Medical Science, Guangzhou, Guangdong 510100, China.
Liang LiuDepartment of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.ORCID 0000-0001-7843-2768
Nanfang Hospital · CNGuangdong General Hospital · CNGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the outcome after a cancer diagnosis is critical. Advances in high-throughput sequencing technologies provide physicians with vast amounts of data, yet prognostication remains challenging because the data are greatly dimensional and complex. We evaluated Wnt/

Indexed as

Carbohydrate MetabolismAdultAgedArea Under Curvebeta CateninBreast NeoplasmsCell Line, TumorColorectal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMachine LearningMaleMiddle AgedNeoplasmsAKT1 protein, humanbeta CateninPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktWnt Proteins

Identifiers

PMID31781361
PMCPMC6855054
OpenAlexW2981128601

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.