Evidence map›Paper›PMID 32887459›Full record

ArticleCancers2020

Circulating miRNA Increases the Diagnostic Accuracy of Chromogranin A in Metastatic Pancreatic Neuroendocrine Tumors.

Annamária Kövesdi, Petra Anna Kurucz, Gábor Nyírő, Ottó Darvasi, Attila Patócs, Henriett Butz

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. The Role of miRNA in the Pathophysiology of Neuroendocrine Tumors.International journal of molecular sciences · 2021
    Review
  9. Article
  10. 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.

Annamária Kövesdi2nd Department of Internal Medicine, Semmelweis University, 1088 Budapest, Hungary.
Petra Anna KuruczDepartment of Laboratory Medicine, Semmelweis University, 1089 Budapest, Hungary.
Gábor NyírőMolecular Medicine Research Group, Hungarian Academy of Sciences and Semmelweis University, 1088 Budapest, Hungary.
Ottó DarvasiHereditary Tumours Research Group, Hungarian Academy of Sciences and Semmelweis University, 1089 Budapest, Hungary.
Attila PatócsDepartment of Laboratory Medicine, Semmelweis University, 1089 Budapest, Hungary.
Henriett ButzDepartment of Laboratory Medicine, Semmelweis University, 1089 Budapest, Hungary.
Semmelweis University · HUHungarian Academy of Sciences · HUNational Institute of Oncology · HU

Funding

Emberi Eroforrások Minisztériuma Higher Education Institutional Excellence Programme within the framework of the Molecular Biology thematic programme of the Semmelweis UniversityHungarian Scientific Research Fund K125231Hungarian Scientific Research Fund OTKA PD116093Magyar Tudományos Akadémia Bolyai Research FellowshipMinistry for Innovation and Technology New National Excellence Program ÚNKP-19-4SE-PPKE National Program of Bioinics subtheme medical bionics
6 · The paper itself

Abstract

Chromogranin A (CgA) is the most widely accepted biomarker for neuroendocrine tumors (NET) but its diagnostic accuracy is dependent on tumor type and the use of proton-pump inhibitors (PPI). We investigated the diagnostic value of circulating miRNAs along with CgA in pancreatic neuroendocrine tumors (pNET). 74 serum samples from patients with pNET (

Indexed as

biomarkercirculating miRNAneuroendocrine tumorpancreaspheochromocytomapNET

Identifiers

PMID32887459
PMCPMC7565801
OpenAlexW3082139891

What Socratic 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 Socratic graph.