Evidence map›Paper›PMID 36902272›Full record

ArticleInternational journal of molecular sciences2023

In-Depth Analysis of the

Di Wang, Valeriia Kuzyk, Katarina Madunić, Tao Zhang, Oleg A Mayboroda, Manfred Wuhrer, Guinevere S M Lageveen-Kammeijer

Open access · goldFull text read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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

7 authors at 3 institutions in 2 countries.

Di WangCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-4687-9239
Valeriia KuzykCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.
Katarina MadunićCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.
Tao ZhangCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.ORCID 0000-0003-0427-9953
Oleg A MayborodaCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-0814-4995
Guinevere S M Lageveen-KammeijerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC Leiden, The Netherlands.ORCID 0000-0001-7670-1151
Leiden University Medical Center · NLUniversity of Copenhagen · DKUniversity of Groningen · NL

Funding

China Scholarship Council 201806220100GlyCoCan 676421
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer deaths worldwide. A well-known hallmark of cancer is altered glycosylation. Analyzing the

Indexed as

Colorectal NeoplasmsGlycomicsCell Line, TumorGlycosylationGlycosyltransferasesHumansPolysaccharidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationGlycosyltransferasesPolysaccharidescell linecolorectal cancerglycosyltransferasesmass spectrometryN-glycosylationporous graphitized carbon liquid chromatographytranscription factor

Identifiers

PMID36902272
PMCPMC10003090
OpenAlexW4322760641

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read63
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.