Evidence map›Paper›PMID 32277372›Full record

ReviewDigestive diseases and sciences2021

Role of Extracellular Vesicles in the Diagnosis and Pathogenesis of Barrett's Esophagus: A Mini-Review.

Qiuyang Zhang, Ajay Bansal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Digestive diseases and sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Isolation and analysis methods of extracellular vesicles (EVs).Extracellular vesicles and circulating nucleic acids · 2021
    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

2 authors at 2 institutions in 1 country.

Qiuyang ZhangDepartment of Medicine, Center for Esophageal Diseases, Baylor University Medical Center and Center for Esophageal Research, Baylor Scott & White Research Institute, Dallas, TX, USA.
Ajay BansalDivision of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, KS, USA. abansal@kumc.edu.
Baylor University Medical Center · USUniversity of Kansas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal adenocarcinoma (EAC) continues to be a significant public health problem with survival rates that have remained stagnant. Although the population at the highest risk for EAC, i.e., patients with Barrett's esophagus (BE) has been clearly defined, patients with EAC continue to do poorly due to advanced stage at diagnosis. The field of extracellular vesicles (EV) could have huge application for the management of patients with BE and EAC by allowing timely diagnosis, serial monitoring, and improved understanding of disease biology. EV are actively packaged and actively secreted vesicles and contain microRNAs, proteins, lipids, and DNA. The contents of EV have been shown to provide useful insights into cellular transformation and pro-oncogenic processes. Early work shows promise but suffers from a high degree of technical and biological variation. The current review not only summarizes the current knowledge about EV as diagnostic biomarkers and their role in disease progression of BE and EAC but also provides the reader practical guidance to devise future experiments to perform well-designed studies.

Indexed as

Extracellular VesiclesAdenocarcinomaBarrett EsophagusBiomarkers, TumorCell Transformation, NeoplasticDisease ProgressionEsophageal NeoplasmsHumansBiomarkers, TumorBarrett’s esophagusEsophageal adenocarcinomaExosomesExtracellular vesiclesmicroRNA

Identifiers

PMID32277372
OpenAlexW3016173546

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.